Looking back on a career in IT, I wanted to reflect on the 20-plus years I spent working in and running data centers for Fortune 500 companies in the New York and New Jersey area. This was an exciting time leading both large and small teams through some of the most complex transformations in IT infrastructure. That included designing a trading floor infrastructure for a major bank that was implemented globally, overseeing the merger of two banks with very different IT backbones, driving a mainframe-to-open-systems modernization effort, managing a data center consolidation, and establishing global IT standards.

Today, the challenges to the job are even more profound than transitioning from mainframes to the Internet, digital, mobile, and cloud world. With the advent of AI and explosive data growth from so many more devices and applications, IT infrastructure leaders must rewrite their stories to keep pace.

After moving to the vendor side several years ago and working as a Senior Solutions Architect at Komprise, I get to work with IT leaders daily.  I see just how much the role of the infrastructure or data center director has changed. Here’s how I see the shift with some tips for IT infrastructure directors and executives to stay relevant in their organizations while navigating these cataclysmic shifts in technology and work.

A Shift Toward Complexity and Constant Adaptation

The job of managing data centers and infrastructure has become more multi-faceted. It is no longer just about uptime and physical infrastructure. Directors are now expected to understand a rapidly expanding universe of technologies. There is increased separation of duties and new responsibilities that did not exist 10 years ago. Add in constant security threats, cloud optimization demands, and the exponential growth of unstructured data which requires ensuring that it is accessible where needed, but in a safe, secure manner and the scope of the role expands fast. And while all of this happens, IT budgets are being squeezed. The mandate remains the same: do more with less.

The Unstructured Data Growth Challenge

A resounding pressure point today is storage and the relentless growth of unstructured data. Recent estimates from IDC show that over 80 percent of enterprise data is unstructured, and that volume is expected to reach 291 zettabytes by 2027.

How do you back it all up in a timely way? How do you replicate it for disaster recovery? How do you ensure protection and accessibility? How do you efficiently prepare it for AI ingestion? It has really come down to understanding that all data is not the same, and you must treat data differently so that you can be efficient in your management of the data. Knowing what data you have, where it lives, and what value it offers is now a core competency for any infrastructure leader.

Hybrid IT and Simplification as a Strategy

Over the past few years, I have seen storage and infrastructure strategies shift significantly. The old model of managing everything the same way is obsolete. My approach has always been to keep environments as simple and basic as possible to reduce unnecessary complexity. In today’s typical hybrid IT landscape, that means using tools that are vendor-agnostic, that work across on-prem, outsourced, and cloud environments, and that give you a single dashboard to make informed decisions.

AI, Cost Cutting, and Evolving Job Roles

There is a lot of noise about AI taking over roles in IT. I do not believe that infrastructure managers, storage engineers, or data center professionals should fear for their jobs. However, relying on the status quo is not a strategy. The one thing that I have seen as a necessity for IT personnel is the ability to adjust and evolve as changes have appeared in the IT arena.

One thing is certain; AI is becoming ingrained across the business, and IT must be able to support it across every function. Nearly 90% of enterprises report regular AI use in at least one business function, compared with 78 percent in 2024, according to 2025 research from McKinsey. Learning how to work with AI, understanding its use cases and business applications, and knowing how to prepare the right data for it are key new skills. Equally important is staying current with cloud technologies and security best practices.

Balancing Cost, Security, and AI Readiness

IT leaders are being asked to walk a tightrope. On one side is the need to control cost and ensure security. On the other side is the drive to make data accessible and ready for AI. Yet these demands are interlinked. Cost control and security are critical to ensure that AI ambitions don’t fail or stall. Without security, AI becomes a liability rather than an advantage. The question facing today’s IT directors is along the lines of: “How do we make data more accessible without increasing risk or cost?” Success will come from integrating these requirements, not prioritizing one at the expense of the other.

Why It Is Still an Exciting Time to Work in IT Infrastructure

There is such a tremendous amount of growth in the amount of data being generated, and data has moved from a support function to a true driver of decisions, products, and strategy. Data is now central to every organization, from predicting outcomes, automating decisions, and personalizing experiences in real-time. Add to the fact that both AI and ML have accentuated the value of data, and there’s a lot of opportunity in this area for people who want to grow their careers and remain in IT infrastructure.

The ability to efficiently and strategically manage data and build the right environment for cost control along with flexibility and innovation is a huge need for the enterprise. In our recent industry survey (link) we found that AI data management is a top desired skillset, and organizations are prioritizing hiring individuals who can confidently lead the AI infrastructure discipline.

What’s Ahead for 2026 and Beyond

Looking ahead, I expect infrastructure directors to move beyond managing infrastructure to leading transformation. This means aligning technology with business strategy in areas such as AI integration, cybersecurity, cost control, and workforce development. AI is moving beyond the hype; it’s becoming increasingly relevant in production workflows. Security will continue to be a priority and will need to be addressed. Lastly, bridging the talent gap and reskilling existing workforces should be a focus.

Five Tips for Adapting as a Modern Infrastructure Leader

1. Treat data differently
   Stop managing all data the same way. Understand what is valuable, what is redundant, what is creating undue risks, and what needs to be accessible. Prioritize accordingly.
2. Focus on vendor-agnostic tools
   Choose solutions that work across vendors, technologies and architectures and reduce lock-in. This simplifies operations, reduces cost and delivers better agility.
3. Invest in learning AI concepts
   You do not need to be a data scientist. But you should understand how AI uses data, and how to prepare infrastructure to support it with proper governance.
4. Stay current with security developments
   Security threats evolve constantly. Keep up with best practices and build security into every aspect of data and infrastructure management. Partner with the CSO.
5. Use simplicity as a guiding principle
   Complexity creates risk and inefficiency. Whenever possible, simplify tools, processes, and architectures.

Final Thoughts

The infrastructure director’s role is not what it used to be, and that is a good thing. The scope has grown, the influence has deepened, and the strategic value of IT is clearer than ever. While the challenges are many, so are the opportunities. Those who can adapt, simplify, and lead through change will continue to be essential to their organizations.

# # #

About the Author: 

Paul Romano is a Senior Solutions Architect at Komprise. He has 25 years’ experience at Fortune 100 companies, possessing significant expertise in setting IT direction and policies, data center build outs and migrations, IT architecture, server and endpoint security, penetration testing, establishing productions support standards and guidelines, managing large IT projects and budgets, and integrating new technologies/technology practices into existing environments.

The post The New Demands on Data Center and Storage Leaders appeared first on Data Center POST.

Duos Technologies Group, Inc. (Nasdaq: DUOT), through its operating subsidiary Duos Edge AI, Inc., has executed a definitive contract with Hydra Host, advancing the previously announced plan to deploy a high-density NVIDIA GPU cluster for a leading global technology company. The GPU-as-a-Service (GPUaaS) contract is expected to generate approximately $176 million in revenue over a 36 month term, including an initial $18 million customer pre payment, with projected gross margins exceeding 80 percent and expected annual EBITDA of approximately $40 million.

The agreement establishes Duos Edge AI as an emerging provider of distributed AI infrastructure designed for large scale compute workloads. Fully funded through Duos Technologies Group’s recently completed $65 million public offering and existing hardware financing arrangements, the partnership enables deployment to commence immediately without reliance on additional equity financing.

“The initial deployment will be located at a strategic site and will consist of multiple high density modular Edge Data Centers (EDCs) which are specifically designed to support large scale AI workloads,” said Doug Recker, newly appointed CEO effective April 1st, 2026. “Manufacturing of the EDCs is currently underway, with critical power modules already ordered to support deployment timelines.”

The first phase of the project includes an initial 4.3 plus MW colocation commitment from a leading global technology company that will serve as the project’s anchor tenant. This deployment represents the largest Edge Data Center project in Company history, with additional colocation revenue expected as the site scales toward its full power capacity.

This contract provides strong commercial validation for Duos’ High Power EDC business line, purpose built for AI companies and high performance compute tenants that require premium rack space, dedicated high density power, and rapid deployment. As Duos advances its long term objective of 75MW of distributed capacity, the Company is actively evaluating additional high density deployment sites to meet accelerating demand from AI hyperscalers, NeoCloud operators, and other AI infrastructure customers.

To learn more about Duos Technologies Group, Inc., visit www.duostechnologies.com.

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Metro Connect USA 2026 brought the digital infrastructure community together in Fort Lauderdale, Florida, Feb. 23 to 25, as executives, investors and network operators gathered to discuss the evolving connectivity landscape. Over three days, conversations across keynote sessions, panels and private meetings focused on how the industry is adapting to the rapid growth of artificial intelligence, cloud services and bandwidth demand.

The 2026 event drew more than 3,700 decision-makers representing over 1,200 companies, reflecting the scale of collaboration and investment shaping the next phase of digital infrastructure development in the United States.

Artificial intelligence was a central theme throughout the conference. Industry leaders discussed how AI workloads are driving new requirements for data center capacity, fiber connectivity and power infrastructure. As AI adoption expands beyond hyperscale environments into enterprise applications and edge deployments, operators are facing increasing pressure to scale networks capable of supporting high-volume data movement and compute-intensive workloads.

Fiber infrastructure also remained a key topic. Discussions throughout the event highlighted continued investment in metro fiber expansion, long-haul backbone routes and fiber-to-the-home networks. As cloud platforms, streaming services and AI applications generate greater data traffic, fiber continues to serve as the underlying foundation supporting the digital economy.

Several speakers addressed how infrastructure and investment strategies are evolving alongside these shifts. Marc Ganzi, Chief Executive Offer at DigitalBridge discussed the continued influx of capital into digital infrastructure and the importance of disciplined investment as the sector scales. Steve Smith, Chief Executive Officer at Zayo Group highlighted the role of fiber expansion in supporting enterprise connectivity and hyperscale demand. Alex Hernandez, CEO of PowerBridge, participated in discussions focused on the growing power demands associated with AI infrastructure, including how utilities, data center developers and investors are working to expand power capacity and modernize energy delivery to support large-scale computing environments.

From the investment perspective, Santhosh Rao, Managing Director, Head of Digital Infrastructure at MUFG explored the evolving capital structures supporting infrastructure development, including structured financing and private credit solutions. Anton Moldan, Senior Managing Director at Macquarie Group shared insights into how institutional investors continue to evaluate digital infrastructure assets as a long-term growth opportunity within global infrastructure portfolios.

Beyond the formal sessions, Metro Connect remains known for its highly productive networking environment. Thousands of meetings took place across the event’s exhibit floor, private meeting rooms and curated networking gatherings, reinforcing the conference’s reputation as a place where partnerships are formed and transactions begin.

Outside the formal sessions, attendees spent much of the week engaged in meetings and informal discussions across the venue’s networking areas. Many participants noted that the event continues to serve as a gathering point for companies exploring partnerships, investment opportunities and infrastructure projects.

Looking ahead, the industry will reconvene next year as Metro Connect USA 2027 moves to a new venue. The event will take place February 8–10, 2027 at the Diplomat Beach Resort in Hollywood, Florida.

The post Metro Connect USA 2026 Highlights the Future of U.S. Digital Infrastructure appeared first on Data Center POST.

Originally posted on Hivelocity.

Artificial intelligence (AI) is driving a new wave of innovation that demands more from infrastructure than ever before. As organizations train larger models, process massive datasets, and deploy AI, performance, scalability, and cost efficiency have become even more critical. In this high-performance landscape, bare metal servers offer a clear advantage over virtualized environments, delivering the raw power and control that AI workloads require.

Bare metal servers provide direct access to dedicated hardware (CPU cores, memory, storage) without the overhead of virtualization. This architecture eliminates the “noisy neighbor” effect that is common in cloud environments, ensuring consistent, predictable performance. For AI tasks such as model training and inferencing, where compute intensity and I/O throughput are key, that consistency can translate into measurable performance gains.

Cost Predictability

While there is a common industry misconception that bare metal is more expensive than cloud alternatives, this is often not the case. In reality, long-term AI operations, especially within predictable or stable workloads, often see significant savings with bare metal infrastructure. Because resources are dedicated, costs are fixed and transparent, cutting down on the unpredictable cloud egress fees and scaling premiums that typically come with consumption-based models.

This predictability of cost allows AI teams to plan budgets more effectively, particularly for ongoing training pipelines and continuous model tuning. Hivelocity’s bare metal solutions allow customers to scale resources strategically, allowing workloads to evolve without the billing complexities that can make cloud deployments difficult to manage.

To continue reading, please click here.

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Empire Fiber Internet, a leading fiber optic internet service provider serving communities across New York and Pennsylvania, is marking continued progress on the Light Up Livingston broadband initiative across Livingston County. Service is now live in parts of Lima, Mount Morris, Dansville, and Nunda, NY, with expansion targeting thousands more homes and businesses in Springwater, Conesus, Ossian, Sparta, West Sparta, and Wayland.

Construction of the Light Up Livingston network is actively progressing, with the project’s fiber backbone largely complete and 68 miles of aerial fiber installed so far. Extending service lines to individual homes is expected to take place in the summer and fall of 2026, as crews continue running additional lines and splicing lateral cables into the main fiber ring.​

“We are proud to celebrate this milestone made possible through a strong public-private partnership,” said Shannon Hillier, Livingston County Administrator. “By working collaboratively, we’ve combined resources and a shared vision to continue expanding high-speed internet access to all communities in Livingston County. This partnership reflects what’s possible through aligning the public and private sectors around a common goal.”​

Supported by New York State’s ConnectALL Municipal Infrastructure Program and USDA ReConnect grant program, this multi-million-dollar effort partners Empire Fiber Internet with Livingston County and Hunt EAS for reliable 100% fiber.

Empire State Development President, CEO and Commissioner Hope Knight highlighted the project’s role in closing the digital divide. “Under Governor Hochul’s leadership, New York is making historic investments to close the digital divide and ensure every community has access to reliable, high-speed internet. Projects like Light Up Livingston are expanding critical fiber infrastructure in rural communities, helping residents, businesses, and institutions stay connected and compete in today’s digital economy. Through strong partnerships with local governments and private providers, we are building a more connected and economically vibrant New York.”​

“We’re excited to see the Light Up Livingston vision becoming a reality for more residents every day,” said Kevin Dickens, CEO of Empire Fiber Internet. “Our team is hard at work extending our fiber network throughout Livingston County. These communities are the driving force behind our continued efforts to expand our network and deliver high-speed internet with its incredible, transformative power. We look forward to becoming part of the community and supporting residents and businesses as they connect, work, and grow.”​

Livingston County residents can check service availability by visiting www.shop.empireaccess.com and entering their address, and can also sign up to receive updates as construction continues.​

To learn more about Empire Fiber Internet, visit www.empireaccess.com.

The post Empire Fiber Internet Advances Light Up Livingston Network Expansion appeared first on Data Center POST.

As artificial intelligence infrastructure continues to scale, the physical networks connecting large GPU clusters are becoming increasingly complex. Training environments for large language models and advanced machine learning workloads require massive bandwidth between compute nodes, driving a rapid increase in fiber connectivity inside modern data centers.

Telescent’s latest system addresses these operational challenges with a new high-density robotic cross connect system designed for DR4 and DR8 parallel optics interconnects used in large-scale AI training clusters. The system extends the company’s G5 robotic platform to support the extremely high fiber counts now common in AI cluster architectures.

AI Infrastructure Is Driving Massive Fiber Growth

AI workloads are reshaping the internal design of data center networks. As GPU clusters grow larger and more interconnected, operators are increasingly deploying parallel optics technologies such as DR4 transceivers to support the bandwidth required between compute nodes. While these architectures enable faster data movement across GPU fabrics, they also significantly increase the number of fiber connections that must be installed and managed.

In some environments, a single AI training cluster can include an exceptionally high number of fiber links. Managing those connections manually can slow deployment timelines and increase the risk of configuration errors or service interruptions.

Automation at the Physical Layer

Telescent’s robotic cross connect system is designed to automate physical layer management in these high-density environments. By enabling automated fiber path configuration and reconfiguration, the system allows operators to turn up new cluster resources more quickly while minimizing the manual patching work that traditionally accompanies large-scale network changes.

“The bandwidth requirements of AI infrastructure are rewriting the rules of data center fiber management. A single AI cluster can require hundreds of thousands of fiber connections, and the move to parallel optics architectures like DR4 multiplies that count significantly,” said Anthony Kewitsch, CEO and Founder of Telescent. “Our new high density robotic cross connect system gives operators a powerful automated solution to manage this complexity to ensure maximum GPU utilization and operational efficiency while future proofing the physical layer for the next wave of AI innovation.”

Supporting the Next Phase of AI Infrastructure

As hyperscale operators and AI infrastructure providers deploy increasingly dense compute environments, the operational demands of managing fiber connectivity are growing alongside them. Automation platforms that bring intelligence and remote control to the physical network layer are becoming an important tool for maintaining reliability and flexibility.

Telescent’s robotic automation platform enables software-controlled fiber connectivity across large-scale deployments, helping operators reduce manual intervention while allowing network paths to be reconfigured quickly as infrastructure requirements evolve.

Demonstration at OFC 2026

Telescent will showcase a live demonstration of the new system at the Optical Fiber Communication Conference (OFC) 2026 in Los Angeles from March 17 to 19 at Booth #607. The demonstration will highlight how robotic automation can simplify the management of fiber-dense AI clusters and help operators address the growing connectivity demands of next-generation AI infrastructure.

To learn more about Telescent’s optical automation solutions, visit www.telescent.com.

The post Telescent Introduces High-Density Optical Circuit Switching for AI GPU Clusters appeared first on Data Center POST.

Data Center POST had the opportunity to connect with David Wang, Founder and Chairman of BRIGHTRAY, who is leading a new paradigm in data center delivery—speed without compromise, scale with sustainability. With over 25 years of industry experience, including senior leadership at Schneider Electric and HP managing mission-critical infrastructure, Wang founded BRIGHTRAY to address the explosive AI-driven demand for rapid, high-density infrastructure.

Traditional construction can no longer keep pace. That’s why at BRIGHTRAY our strategy on proprietary Prefabrication Data Center Solutions, enabling ultra-high-density deployment at unprecedented speed. This is proven by the company’s Malaysia milestones: MY-01 (20MW) delivered in 8 months, and MY-02 (50MW) completed in just 6 months, setting new benchmarks for speed and scalability.

Looking ahead, Wang is leading BRIGHTRAY’s global expansion from our strong APAC foundation into the U.S. and Middle East markets with the vision to establish BRIGHTRAY as “Your Gateway to Excellence in Integrated IDC Services”, building a resilient, sustainable digital backbone for the AI era.

The information below is summarized to provide our readers a deeper dive into who BRIGHTRAY is, what they do and the problems they are solving in the industry.

What does BRIGHTRAY do?  

BRIGHTRAY provides prefabricated data center solutions that are designed and built off-site for faster, more efficient deployment.

What problems does BRIGHTRAY solve in the market?

The company addresses the growing demand for speed and scalability in data center infrastructure. BRIGHTRAY helps clients compress deployment timelines, reduce execution risk, and bring infrastructure online faster, enabling quicker returns and greater adaptability across different environments. The company is capable of delivering a 50MW data center in as fast as 6 months, setting a new industry benchmark

What are BRIGHTRAY’s core products or services?

Prefabrication Data Center Solutions

Full Prefabrication DC（FPD：prefab whole data center from building structure to core systems

Interior Prefabrication DC（IPD：install core modules in the pre-built shell

Containerized Prefabrication DC（CPD：infrastructure in containers

What markets do you serve?

BRIGHTRAY is deeply rooted in the APAC market and is now expanding into the U.S. and Middle East markets.

What challenges does the global digital infrastructure industry face today?

• Speed vs. Quality: Traditional construction methods take 2-3 years per project, yet AI and cloud demand deployment in months—not years.
• Sustainability Pressure: Data centers are energy-intensive, and global net-zero targets require radical efficiency improvements.
• Scalability Constraints: Supply chain bottlenecks, skilled labor shortages, and site limitations hinder rapid expansion.

How is BRIGHTRAY adapting to these challenges?

• Prefabrication Innovation: Our proprietary solutions (FPD, IPD, CPD) shift construction from on-site to factory-controlled environments, slashing timelines by up to 70%.
• Speed Records: We’ve proven our model with MY-01 (20MW in 8 months) and MY-02 (50MW in 6 months) —landmark projects in Malaysia that set new industry speed benchmarks and demonstrate BRIGHTRAY’s leadership in powering Asia Pacific’s rapidly growing digital hubs.
• Global-Ready Design: Our solutions are engineered for “global adaptability,” enabling rapid deployment across diverse environments with consistent quality.

What are BRIGHTRAY’s key differentiators?

• Proven Speed: 6-month delivery for 50MW capacity—unprecedented in the industry.
• End-to-End Expertise: Our team brings 10 years across the full lifecycle—design, construction, operations.
• Sustainability by Design: Prefabrication reduces on-site waste, carbon footprint, and energy consumption.
• Three Flexible Solutions: FPD (full prefab), IPD (interior prefab), CPD (containerized)—tailored to client needs.
• Global Vision, Local Roots: Deep APAC expertise, now expanding into U.S. and Middle East markets.

What can we expect to see/hear from BRIGHTRAY in the future?  

• Global Market Expansion: Following our strong foundation in APAC, we are actively entering the U.S. and Middle East markets. Expect announcements on new partnerships, project deployments, and local operations in these key regions.
• Next-Generation Prefabrication Solutions: We are continuously evolving our proprietary FPD, IPD, and CPD solutions to support higher densities and greater energy efficiency—purpose-built for the AI era’s demanding workloads.
• New Project Milestones: Building on our Malaysia success (MY-01: 20MW/8 months; MY-02: 50MW/6 months), we will unveil additional record-breaking deployments that further compress timelines while scaling capacity.

What upcoming industry events will you be attending? 

BRIGHTRAY will be attending Nvidia GTC in San Jose.

Do you have any recent news you would like us to highlight?

BRIGHTRAY breaks record by completing data center in 8 months.

Where can our readers learn more about BRIGHTRAY?  

You can learn more about us on our official website, www.brightraydc.com, or on our LinkedIn.

How can our readers contact BRIGHTRAY? 

You can contact us at [email protected].

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About BRIGHTRAY

BRIGHTRAY is redefining data center delivery through its pioneering prefabrication solutions. As hyperscale demand surges and speed-to-deployment becomes a decisive competitive edge, BRIGHTRAY empowers its clients to bring high-standard, scalable infrastructure online in just months, dramatically compressing timelines, reducing execution risk, and unlocking faster returns. The BRIGHTRAY team, comprising professionals with over 10 years of data center experience and led by executives with over 20 years of industry leadership, has collectively delivered hundreds of data center projects. The team has built end-to-end capabilities across the full lifecycle—from design and construction to operations—and leverages this deep expertise to pioneer innovative prefabricated data center solutions: Full Prefabrication Data Center (FPD), Interior Prefabrication Data Center (IPD), and Containerized Prefabrication Data Center (CPD). Each solution is engineered around three core principles—speed, resilience, and global adaptability to enable seamless deployment across diverse environments.

About Data Center POST

Data Center POST provides a comprehensive view of the digital infrastructure landscape, delivering industry insights into the global data center ecosystem. As the industry’s only peer-contributed and online publication, we offer relevant information from developers, managers, providers, investors, and trendsetters worldwide.

Data Center POST works hard to get the most current information and thought-provoking ideas most apt to add relevance to the success of the data center industry. Stay informed, visit www.datacenterpost.com.

If you are interested in contributing to Data Center POST, contact us at [email protected] or submit your article here.

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The post Company Profile: BRIGHTRAY’s Prefabrication Strategy for the AI Era appeared first on Data Center POST.

Originally posted on 1547realty.

AI and accelerated computing are reshaping expectations for data center infrastructure, and that shift is especially visible inside carrier hotel environments. Research from McKinsey notes that average rack power densities have more than doubled in two years, rising from 8 kilowatts to 17 kilowatts, with projections reaching 30 kilowatts per rack by 2027. Carrier hotels have long served as central meeting points for carriers, content providers, and enterprises, delivering dense interconnection in the heart of major metros. As fifteenfortyseven Critical Systems Realty (1547) has outlined in its connectivity hubs blog, these buildings keep communities and businesses online by concentrating networks and cloud on-ramps in a single, neutral location. For 1547, the focus is evolving these hubs to host modern AI workloads without compromising the connectivity advantages that make them essential.

A Shifting Infrastructure Reality

Carrier hotels were not originally built for AI. Historically, these facilities centered on abundant fiber, building-level power resilience, and space for many carriers to interconnect, with typical cabinet deployments remaining within just a few kilowatts. Dgtl Infra describes carrier hotels as highly interconnected urban facilities where carriers, cloud providers, and enterprises converge to exchange traffic and access key services. Modern GPU-based systems have pushed power density requirements into the tens of kilowatts, with infrastructure manufacturers such as Vertiv pointing to configurations exceeding 100 kilowatts per rack in advanced AI and high-performance computing environments. Instead of asking how much floor space is available, customers now want to know how much usable power can be delivered to each rack and how the facility will manage the resulting heat.

Why Increasing Power Density Creates Unique Challenges for Carrier Hotels

The same characteristics that define carrier hotels also introduce constraints that greenfield campuses do not face. Many occupy historic or mixed-use buildings in dense metro cores, where increasing utility capacity requires coordination with local utilities, municipalities, and building ownership. 1547’s Pittock Block in Portland illustrates this directly, with a century-old downtown landmark transformed into a modern carrier hotel and data center. Cooling presents a parallel challenge. Traditional air-cooled systems adequate for network gear and standard compute begin to struggle as rack densities climb, and McKinsey projects a potential supply deficit by 2030, driven by AI-ready capacity requirements that current infrastructure was not designed to meet.

To continue reading, please click here.

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At Metro Connect USA 2026, held February 22-25 in Fort Lauderdale, Marc Ganzi, Chief Executive Officer of DigitalBridge, delivered a keynote outlining how artificial intelligence is reshaping the digital infrastructure industry. In his address, “Digital Infra 3.0: Building the AI Industrial Revolution,” Ganzi described how the sector is evolving from a connectivity-focused market into a broader ecosystem that includes data centers, fiber networks, edge computing, and energy infrastructure.

Ganzi emphasized that AI has moved beyond hype and is beginning to generate measurable outcomes across industries. While much of the public discussion focuses on applications and large language models, he noted that the true monetization of AI will occur through enterprise and industrial use cases. Manufacturing, agriculture, healthcare, and transportation are already integrating AI-driven automation, robotics, and predictive analytics to improve productivity and efficiency.

These developments rely on a layered infrastructure environment. Hyperscale facilities train AI models, while edge data centers support inferencing workloads closer to where data is used. Fiber networks provide the low-latency connectivity required to move massive volumes of data between locations, and wireless systems connect devices and sensors in the physical world. Beneath all of these components sits an increasingly critical factor: power.

Power availability was a central theme of Ganzi’s keynote. As AI workloads grow, electricity demand is rising faster than grid capacity can keep pace. The digital infrastructure industry is now leasing significantly more power than the grid can bring online each year, creating a widening gap between supply and demand. As a result, developers are increasingly operating as energy strategists, exploring diversified energy approaches that may include microgrids, battery storage, solar, wind, and natural gas generation.

The search for reliable power is also influencing where new infrastructure is built. While traditional hubs such as Northern Virginia remain central to the industry, developers are exploring additional markets where grid access and energy availability make large-scale AI deployments possible. In many cases, power availability has become the deciding factor in site selection.

Despite the focus on energy, Ganzi reminded the audience that connectivity remains essential to the AI economy. The ability to move enormous amounts of data across networks continues to depend on high-capacity fiber infrastructure and low-latency connectivity. Even as AI advances in software and hardware, the underlying network infrastructure remains fundamental.

Ganzi also described the evolution of AI infrastructure in phases. The industry has moved through the early stage of training large language models and is now entering a period where inferencing and edge deployments are expanding. The next stage will involve integrating AI directly into physical environments, where intelligent systems control machines, robotics, and automated processes across multiple industries.

As the sector expands, developers face growing challenges that include power constraints, permitting delays, supply chain pressures, water usage concerns, and increased scrutiny from investors. Ganzi stressed that success will depend on operational discipline, strong customer relationships, and the ability to deliver infrastructure projects reliably and on schedule.

Ultimately, he framed the current moment as the beginning of Digital Infra 3.0, a phase in which digital infrastructure converges with traditional infrastructure to support the AI economy. As AI adoption accelerates, the companies that successfully combine power, connectivity, and compute will play a defining role in building the foundation for the next era of global digital infrastructure.

The discussion around digital infrastructure, connectivity, and AI will continue at the next major Capacity event, International Telecoms Week (ITW) in Washington, D.C., May 18-21, 2026.

To learn more about upcoming events in the Capacity Media portfolio, visit www.capacitymedia.com/events.

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The Middle East has long been described as a geographic bridge connecting Europe, Asia, and Africa. Today, however, the region is becoming far more than a transit corridor. At Capacity Middle East 2026 and Datacloud Middle East 2026, held in Dubai, February 10-12, 2026, industry leaders explored how the region is rapidly evolving into a major destination for digital infrastructure investment. Telecom operators, data center developers, investors, and technology providers gathered to discuss the next phase of growth, which includes expanding connectivity routes, scaling AI-ready data centers, and strengthening the interconnection ecosystems needed to support the region’s digital economy.

The Middle East’s Connectivity Role Is Expanding

For many years, global connectivity discussions framed the Middle East primarily as a transit hub linking international markets. Speakers at Capacity Middle East emphasized that this narrative is evolving as regional internet traffic, enterprise workloads, and cloud adoption continue to grow across the Middle East. Infrastructure strategies are increasingly focused on supporting demand generated within the region itself rather than simply facilitating global transit. This shift is encouraging greater investment in fiber interconnection between data center clusters, cross-border terrestrial routes linking neighboring markets, and internet exchange points that allow regional traffic to remain within the region. As the Middle East’s digital economy expands, more data is being generated and consumed locally, reinforcing the need for robust regional infrastructure.

Hybrid Connectivity Routes Are Gaining Momentum

Another major topic throughout Capacity Middle East was the development of hybrid connectivity routes that combine subsea cables with terrestrial fiber infrastructure. While subsea cables remain the backbone of global connectivity, geopolitical risks and congestion along traditional Red Sea routes have highlighted the need for diversified network paths between Asia and Europe. Operators are increasingly exploring alternative corridors that incorporate land-based routes across regional markets. Industry leaders noted that deploying these hybrid routes is not simply an engineering challenge. Subsea and terrestrial networks operate under different economic models and regulatory frameworks, meaning coordination across multiple jurisdictions will be required to ensure these routes remain commercially viable. Despite those complexities, hybrid infrastructure is expected to play an important role in strengthening global connectivity resilience.

Data Center Development Is Accelerating Across the Region

At Datacloud Middle East, much of the conversation centered on the region’s rapidly expanding data center ecosystem. The Middle East offers several structural advantages that are attracting global infrastructure investment, including competitive energy pricing, available land for hyperscale campuses, strong sovereign investment funds, and coordinated national digital strategies. Market insights shared during the event indicated that vacancy rates across regional data center markets remain low while a significant portion of new capacity is already pre-leased before completion. Although most existing capacity remains concentrated in the United Arab Emirates and Saudi Arabia, emerging markets such as Oman and Jordan are also advancing national initiatives designed to attract new digital infrastructure development and diversify the region’s data center footprint.

AI Is Reshaping Data Center Design

Artificial intelligence infrastructure requirements were a central theme at Datacloud Middle East. Traditional enterprise data centers typically operate at densities between 10 and 20 kilowatts per rack, but AI training clusters are already pushing beyond 100 kilowatts per rack, creating new challenges for power delivery, cooling strategies, and facility design. Because large-scale data center projects often require 18 to 24 months to build, developers must make long-term infrastructure decisions with limited visibility into future workload requirements. As a result, many operators are shifting toward flexible data center architectures capable of supporting both traditional enterprise workloads and high-density AI environments. Rather than designing facilities for a single predictable future state, the industry is increasingly prioritizing adaptability.

Industry Leaders Highlight the Region’s Momentum

Several speakers provided important insights into the trends shaping the Middle East’s digital infrastructure ecosystem. Johan Nilerud, Chief Strategy Officer at Khazna Data Centers, discussed how hyperscale demand and national digital initiatives are accelerating the development of large-scale data center campuses across the Gulf. Karim Benkirane, Chief Commercial Officer at du, highlighted the role telecommunications providers play in enabling cloud adoption and expanding regional connectivity capacity. Mehdi Paryavi, Chairman of the International Data Center Authority, explored how national initiatives such as Oman’s Digital Triangle are positioning emerging markets to compete for future AI and cloud infrastructure investment. Tahir Gok, MENA Lead at datacenterHawk, shared market insights showing continued demand for colocation capacity and strong growth across the region’s key digital hubs. Julian Barratt-Due, Managing Director at KKR, also discussed the growing interest from international investors seeking opportunities to participate in the Middle East’s digital infrastructure expansion alongside sovereign wealth funds.

Interconnection Will Define the Next Phase

A consistent theme across both conferences was the critical importance of interconnection. Data centers, cloud platforms, AI infrastructure, and enterprise networks all rely on strong connectivity ecosystems. Without robust interconnection between facilities, internet exchanges, and regional fiber routes, the full value of new infrastructure investments cannot be realized. Industry leaders emphasized that the next phase of digital infrastructure development in the Middle East will require dense fiber ecosystems, carrier-neutral exchanges, and strong regional connectivity frameworks that allow traffic to move efficiently across markets.

A New Era for Middle East Digital Infrastructure

Capacity Middle East and Datacloud Middle East demonstrated how quickly the region’s infrastructure landscape is evolving. Supported by AI demand, sovereign investment, and coordinated national strategies, the Middle East is rapidly expanding its connectivity and data center capacity. The region’s role in the global digital ecosystem is no longer limited to bridging continents. Instead, it is emerging as a strategic hub where infrastructure is being built to support both global traffic flows and a rapidly growing regional digital economy. As investment continues to accelerate, the conversations taking place in Dubai suggest that the Middle East will remain a central focus of digital infrastructure development in the years ahead.

The next Capacity event will be International Telecoms Week (ITW) in Washington, D.C., May 18-21, 2026.

To learn more about upcoming events in the Capacity Media portfolio, visit www.capacitymedia.com/events.

The post Capacity Middle East and Datacloud Middle East 2026 Highlight Rapid Growth in AI and Data Center Infrastructure appeared first on Data Center POST.

AI spending is accelerating at a pace most enterprise budgets simply can’t match. While IT leaders are under pressure to deliver transformative AI capabilities, their capital budgets aren’t growing at the same rate as these AI ambitions. This mismatch is forcing difficult trade-offs: delayed projects, stretching aging infrastructure beyond its intended lifecycle, and diverting funding from other critical initiatives.

But there is another option. Increasingly, IT leaders are turning to technology leasing as a savvy strategy to help expedite AI adoption without sacrificing operational agility or financial liquidity.

AI: Thinking Through the Dollars and Sense

From my vantage point, working closely with IT leaders across industries, I hear the lament. AI infrastructure is expensive and highly concentrated, particularly GPU-based compute power. A single GPU cluster designed to support large-scale AI workloads can cost hundreds of thousands to millions. For enterprise-wide deployments, total data center investments can easily reach $150 million and as much as $500 million.

For mid-tier enterprises, challenges are even greater, as many lack the balance-sheet strength to secure traditional credit for such large capital expenditures. Some resort to private equity or high-interest lenders. But even those who can afford to purchase the infrastructure outright are frustrated by the pace of AI innovation; and the risk of technology becoming quickly outdated or obsolete.

For determined IT leaders, the question is not whether to invest in AI infrastructure, but how to fund it without compromising the broader IT roadmap. This is where the financing strategy becomes just as important as the technology strategy.

IT leasing eases these pressures in several critical ways:

• Minimizing upfront costs. Traditional purchasing requires a massive outlay of capital, sometimes forcing companies to scale back or winnow down the scope of projects despite urgent demand. Leasing converts that one-time expense into predictable monthly payments. Instead of committing $50 million upfront, an organization can structure payments over time, freeing capital for additional initiatives and allowing multiple AI projects to move forward simultaneously.
• Enhancing flexibility and reducing financial risk. Purchased technology sits on the balance sheet and depreciates over a fixed period. If business needs shift or the organization upgrades early, it can trigger book losses. Leasing – when structured properly – can classify equipment as an operating expense, keeping it off the balance sheet and enabling companies to pivot more easily without the burden of carrying these assets.

Lease the Entire AI Stack, Not Just the Hardware

IT leaders recognize today’s AI deployments extend far beyond servers. Enterprises are leasing high-performance GPU servers optimized for AI model training and inference, along with high-speed networking equipment, enterprise storage systems, integrated “rack and roll” data center solutions, firewalls, and AI-specific software.

Maintenance contracts, security tools, and embedded applications can all be incorporated into a single lease structure.

This bundling delivers administrative and compliance benefits. Hardware typically carries a residual value often 10–15% below purchase cost, amortized across the lease term. Software licenses and other “soft costs” are included in payments and expire at term end, eliminating resale complications. Clients are responsible only for the hardware at lease completion, simplifying compliance and ensuring security updates, patches, and licenses remain current throughout the lifecycle.

Combat Obsolescence Before It Becomes a Liability

One of the most common concerns I hear from executives is technology obsolescence. And given the pace of AI, where innovation cycles are measured in months, not years, that concern is justified.

Leasing naturally enforces a rigor and discipline for countering obsolescence. A three- or four-year term creates a defined decision point: extend, buy out or upgrade the technology. This prevents the “set it and forget it” ownership mindset that often leads to aging, unsupported systems and expensive, reactive refresh cycles. In AI environments, delaying upgrades can multiply total costs through inefficiencies and lost competitive advantage.

Leasing is a Budget Multiplier

Looking ahead to 2026 and beyond, IT leaders must think differently about capital allocation. No one can predict what the AI landscape will look like in three years. Owning large volumes of rapidly depreciating infrastructure can limit strategic agility.

Leaders must also factor in the full lifecycle cost of AI infrastructure, which includes equipment refreshes, secure data wiping, asset disposition, and regulatory compliance. These factors carry operational and financial burdens when assets are owned outright.

The most important priority today is building a strategy that enables AI adoption with minimal upfront cost and maximum flexibility. Leasing can act as a budget multiplier. Instead of exhausting capital on one large acquisition, organizations can deploy that same funding across predictable monthly payments, preserving liquidity while expanding total project capacity. In doing so, IT leaders maintain momentum across their complete technology roadmap, ensuring AI transformation doesn’t come at the expense of operational resilience.

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About the Author

Frank Sommers brings 30 years of experience in the IT leasing industry, working closely with global enterprise organizations to help them modernize infrastructure while preserving capital and accelerating technology adoption. Known for consistently exceeding sales targets, Frank has also developed and led numerous successful vendor financing programs in partnership with major resellers, creating flexible acquisition models that support complex IT environments. His deep expertise in IT lifecycle management, financing strategies, and enterprise procurement has made him a trusted advisor across the industry. A former collegiate soccer player at Cal Poly San Luis Obispo, Frank brings the same competitiveness and teamwork to every client relationship.

The post Desperate to Fund AI? Leasing May Be the Smartest Move IT Leaders Make in 2026 appeared first on Data Center POST.

Duos Technologies Group, Inc. (Nasdaq: DUOT), a leading provider of adaptive, modular, and scalable Edge Data Center (EDC) solutions, has closed its underwritten public offering of 8,666,666 shares of common stock, generating approximately $65 million in gross proceeds. The offering included participation from several of the Company’s largest existing institutional shareholders alongside new institutional investors, closing on March 2, 2026.

“This financing represents a strong vote of confidence from both new and existing investors, as well as our new strategic partner Hydra Host, in Duos’ leadership, strategy and growth trajectory,” said Doug Recker, incoming Chief Executive Officer. “With this capital now secured, we can pursue our $200 million LOI, while accelerating the commercialization of our high-power EDC business model. We are expanding our Edge AI platform, advancing hyperscaler-aligned AI infrastructure initiatives, and positioning the Company to scale toward our 2026 objectives. Demand for distributed AI compute and GPU capacity continues to build, and we believe Duos is strategically positioned to convert that demand into sustained revenue growth and long-term shareholder value.”

The financing directly positions Duos to pursue its approximately $200 million NVIDIA GPU hosting letter of intent with Hydra Host, with net proceeds directed toward expanding and commercializing the Company’s high-power Edge Data Center business, as well as working capital and general corporate purposes. Titan Partners, a division of American Capital Partners, acted as sole bookrunner for the offering.

To learn more about Duos Technologies Group, Inc., visit www.duostechnologies.com.

The post Duos Technologies Closes $65 Million Public Offering to Fuel Edge AI Expansion appeared first on Data Center POST.

Originally posted on CMOtech.

Every year on International Women’s Day, we celebrate women who have broken barriers, led teams, built businesses, and shaped industries. That recognition is important. However,  it only tells part of the story. What truly advances organizations and sectors isn’t simply the presence of women at the table, but how leadership functions once we’re there.

Leadership is not defined by intent or visibility alone; it is measured by accountability, consistency, and what actually gets done. Though, what truly advances organizations and sectors isn’t simply the presence of women at the table, it’s how leadership functions once we are there and after the meeting ends.

In today’s technology-driven landscape, the pace of change is relentless and the margin for execution errors is thin. Vision may get you invited into the room, but follow-through is what keeps you there.

A critical and often misunderstood aspect of leadership is who we are actually serving. While organizations exist to serve clients and customers, leaders are not successful by focusing outward alone. Strong leaders understand that their first responsibility is to serve their teams by providing them with clarity, structure, and support so that together they can serve clients well.

When leaders fail to support their teams with clear expectations, consistent communication, and accountability, the impact eventually reaches clients. Internal breakdowns always surface externally. Leadership is not about absorbing all responsibility personally; it’s about enabling others to perform at their best.

Accountability needs to be visible every day, not just during performance reviews. Technology offers no shortage of tools to support this: shared calendars, automated reminders, project management platforms, and real-time dashboards. These tools are not optional accessories. In modern organizations, managing commitments with discipline is foundational to trust.

When commitments aren’t kept, it doesn’t just slow progress, it erodes confidence. Across industries, leaders who consistently miss deadlines or fail to communicate reveal a deeper issue: a gap between how work is described and how it is executed. In an era of transparency and digital workflows, “I forgot” is no longer a credible explanation. Leadership requires intentionality.

To continue reading, please click here.

The post Beyond Visibility: How True Leadership Really Works appeared first on Data Center POST.

By Anoop Thulaseedas, Associate Director, Solutions & Consulting at Bristlecone.

Industries across technology, semiconductors, infrastructure, energy, and advanced manufacturing are entering a sustained period of structural scarcity. Explosive growth in AI workloads, electrification, defense modernization, and industrial expansion has outpaced the scaling capacity of upstream ecosystems. In this environment, planning models built on forecast accuracy and assumed supply elasticity are no longer sufficient.

Scarcity is increasingly structural in critical industrial ecosystems.

Competitive advantage now depends on recognizing supply constraints as the governing reality of the enterprise. Capacity availability, not demand projection, determines portfolio sequencing, commercial commitments, capital allocation, and revenue timing.

This shift requires rethinking planning itself. Rather than predicting demand and expecting supply to respond, organizations must deliberately govern constrained capacity across interconnected production and deployment layers.

This paper introduces a scarcity-native operating model in which allocation governance, constraint visibility, and cross-layer orchestration replace forecast-centric optimization. While illustrated through AI infrastructure ecosystems, the underlying logic applies broadly across any multi-constraint industrial environment.

Scarcity as a Multi-Constraint Ecosystem

Modern scarcity rarely originates from a single component or isolated bottleneck. Instead, effective supply is governed by a chain of constraints distributed across interconnected production and deployment layers. These layers span geographies, capital cycles, and technical disciplines — from semiconductor fabs to packaging plants, specialty materials facilities, infrastructure sites, and commissioning environments.

Scarcity today is not confined to procurement pipelines or logistics networks. It emerges across an integrated physical system in which each layer possesses independent throughput ceilings, capital intensity, and scaling timelines. Expanding capacity at one node without synchronizing adjacent constraints redistributes bottlenecks downstream.

Scarcity must therefore be understood as a layered physical system rather than an isolated material shortage. While illustrated through semiconductor and data center ecosystems, the same multi-constraint logic applies to energy systems, transportation networks, and advanced manufacturing environments.

The Constraint Chain

Layer 1: Core Component Manufacturing

This layer resides within semiconductor fabrication facilities operated by memory and logic OEMs. It encompasses wafer capacity, yield variability, production allocation decisions, and process throughput limitations. In AI ecosystems, this includes HBM memory production and the output of accelerator silicon. Cleanroom capacity, tool availability, yield ramp maturity and throughput define the production ceiling.

Layer 2: Integration and Advanced Packaging

Following fabrication, components must be integrated into deployable modules within advanced packaging and OSAT facilities. High-precision stacking, bonding technologies, and thermal integration processes convert discrete dies into functional assemblies. Packaging throughput frequently becomes the next gating constraint, independent of wafer supply, due to equipment intensity, cycle-time sensitivity, and specialized labor limitations.

Layer 3: Substrates and Interposers

Specialized substrate and interposer manufacturing is conducted in a limited number of precision materials facilities. These components form the physical interconnect between the compute, memory, and power-delivery layers. Long qualification cycles, limited supplier redundancy, and fine-line manufacturing complexity create structural bottlenecks that often surface only after upstream output expands.

Layer 4: Infrastructure Readiness

Even when integrated hardware is available, deployment depends on the physical site’s readiness. Data center campuses and supporting electrical infrastructure determine installation viability. Rack-level power density, cooling architecture, transformers, switchgear, and grid interconnections govern whether hardware can be activated. These constraints frequently delay monetization despite upstream production success.

Layer 5: Qualification and Commissioning

Final validation, integration testing, and cluster bring-up occur within integration labs and on-site commissioning environments. Skilled engineering capacity, testing infrastructure, and activation throughput determine how quickly deployed assets become operational and revenue-generating.

Orchestrating the Full Constraint System

Optimizing any single layer in isolation produces limited value. Increasing wafer output without packaging capacity, accelerating packaging without infrastructure readiness, or expanding infrastructure without commissioning throughput results in stranded capital and delayed revenue realization.

Value creation depends on synchronized decision-making across the entire constraint chain — from fabrication to live deployment.

Scarcity, therefore, represents an enterprise operating model challenge spanning Planning, Sourcing, Engineering, Infrastructure, and Finance. It cannot be managed as a downstream supply execution issue alone.

Core Differentiators of Scarcity-Native Operating Models

Scarcity-native operating models are defined by structural shifts in how planning is conducted and governed.

1. Scarcity-Native Planning vs Traditional Planning

Illustrative Case: Automotive Semiconductor Reallocation

During the 2020–2022 semiconductor shortage, several automotive manufacturers confronted an immediate collapse of forecast-driven production logic. Rather than waiting for supply normalization, some shifted to allocation-driven governance.

Ford Motor Company provides a clear illustration. With chip supply constrained, the company prioritized high-margin vehicles and new product launches over lower-margin configurations. Production schedules were aligned to confirmed semiconductor availability rather than unconstrained dealer forecasts. Non-essential features were temporarily removed from certain models to maximize yield from scarce components.

The result was not merely damage control. By deliberately allocating constrained inputs toward strategic priorities, Ford expanded its order bank and preserved margin performance in the face of systemic supply tightness.

This behavior reflects entitlement-based baselining and value-optimized deployment sequencing — core characteristics of scarcity-native operating models.

• Entitlement-Based Planning Baselines: Planning begins with confirmed supplier allocations, contracted capacity reservations, infrastructure availability, and commissioning throughput—not unconstrained demand forecasts. These entitlements define deployable reality.
• Allocation-Driven Governance: Explicit allocation logic determines how constrained capacity is distributed across programs, regions, and customers. This replaces reactive firefighting with structured prioritization.
• Value-Optimized Deployment Sequencing: Deployment decisions prioritize revenue realization, utilization efficiency, strategic commitments, and long-term platform positioning — not simply maximizing unit output.
• Continuous Replanning Cadence: Planning operates dynamically. As supplier commitments shift, packaging schedules move, infrastructure readiness evolves, and commissioning throughput fluctuates, allocation decisions are updated in near real time.

In constrained ecosystems, planning becomes less about predicting demand and more about governing capacity.

2. Internal Competition and Portfolio Trade-Off Management

Scarcity does not only constrain external supply. It creates internal competition for limited deployment capacity.

In infrastructure-intensive environments, multiple initiatives frequently compete for the same constrained resources — fabrication allocations, packaging throughput, power envelopes, commissioning capacity, or site readiness. Without centralized governance, these programs generate fragmented demand signals that dilute negotiating leverage, misalign capital sequencing, and create suboptimal capacity utilization.

Scarcity-native organizations formalize portfolio-level prioritization tied explicitly to constrained supply envelopes. Executive trade-off forums align strategic objectives with physical deployment ceilings. Capital investments, infrastructure readiness and customer commitments are sequenced deliberately rather than pursued in parallel under optimistic capacity assumptions.

Allocation decisions are evaluated across explicit dimensions — financial impact, reliability, service performance and long-term strategic positioning — ensuring scarce capacity is deployed where it creates the highest enterprise value rather than the loudest internal demand.

3. Sourcing Embedded Into Planning Decisions

In constrained ecosystems, sourcing cannot function as a downstream procurement activity. It becomes a structural input into planning itself.

Leading organizations embed supplier allocation commitments, capacity reservation agreements and qualification timelines directly into deployment roadmaps. Confirmed supplier envelopes define planning baselines. Tier-2 and Tier-3 visibility informs risk exposure and contingency design. Power equipment lead times and infrastructure component availability are treated as governing constraints rather than execution afterthoughts.

This integration shifts sourcing from transactional purchasing toward capacity governance. Structured forward visibility and commitment mechanisms provide suppliers with the economic rationale to sustain constrained production capability, reducing volatility amplification across the ecosystem.

When sourcing is embedded into planning, deployable capacity becomes a coordinated outcome rather than a negotiated surprise.

4. Engineering as a Practical Scarcity Lever

While many upstream constraints remain outside direct operational control, engineering decisions materially influence how scarcity is absorbed.

Scarcity-native organizations emphasize platform standardization to reduce component fragmentation and dependency on narrow configurations. Design-for-availability principles favor widely supported architectures. Modular infrastructure design enables flexible sequencing of deployment. Qualification of alternate equipment SKUs and suppliers increases interchangeability where feasible.

These choices do not eliminate structural constraints. They expand optionality within them.

Engineering flexibility reduces concentration risk, improves interchangeability and increases the organization’s ability to realign deployment in response to shifting constraint patterns. In constrained environments, architecture decisions become strategic levers of capacity governance.

Short-Term vs. Medium-Term Scarcity Response

Scarcity response requires distinct behaviors across time horizons. Scarcity-native operating models deliberately differentiate between near-term stabilization of constrained capacity and medium-term expansion of structural optionality.

Short-Term (0–90 Days): Stabilize Utilization

• Formal allocation governance across competing programs
• Rapid replanning cycles incorporating real-time supplier signals
• Prioritization of high-value customers and contracted commitments
• Cross-functional executive decision forums

The objective is to absorb volatility without cascading disruption.

Medium-Term (3–12 Months): Expand Optionality

• Supplier diversification and alternate sourcing paths
• Capacity reservation agreements
• Accelerated qualification of alternate SKUs and components
• Platform standardization and modular infrastructure design
• Multi-constraint scenario modeling

The objective shifts from stabilization to structural resilience within constrained ecosystems.

Operationalizing Scarcity Through S&OP and S&OE

Traditional planning architectures separate Sales & Operations Planning (S&OP) from Sales & Operations Execution (S&OE). Under structural scarcity, this separation breaks down.

Instead, S&OP and S&OE function as a closed-loop control system.

S&OP — Policy and Governance

S&OP defines allocation policy:

• Establishes entitlement baselines
• Sets guardrails based on confirmed supply envelopes
• Aligns portfolio priorities with financial and strategic tradeoffs
• Determines how scarcity is distributed across programs and regions

S&OP governs how limited capacity should be used.

S&OE — Dynamic Allocation

S&OE continuously adjusts allocation decisions:

• Reallocates constrained supply as conditions evolve
• Adjusts deployment cadence based on supplier commitments and readiness
• Protects utilization, service levels, and revenue realization

S&OE governs how limited capacity is used today.

 The Planning Logic Shift

Traditional logic:  Plan → Execute

Scarcity-native logic:  Policy → Allocate → Learn → Re-Decide

Execution feedback updates governance decisions. Governance decisions reshape execution priorities. Planning becomes a continuous decision cycle rather than a periodic balancing exercise.

This reframes planning from forecast management into enterprise-level capacity governance.

Conclusion: From Forecast Accuracy to Capacity Governance

Structural scarcity is redefining operational excellence. In constrained ecosystems, supply availability, shaped by interconnected physical bottlenecks, determines what can be delivered, when revenue is realized, and where competitive advantage accrues.

Organizations that succeed are not those that eliminate constraints, but those that govern them deliberately. Scarcity-native operating models shift the enterprise mindset from optimization to orchestration: allocating limited capacity where it creates the greatest strategic and financial impact.

Although illustrated through AI infrastructure, the same logic applies across power systems, advanced manufacturing components, transportation capacity, critical materials, and skilled labor markets. Constraint chains are becoming the defining architecture of modern industry.

The transition to scarcity-native operating models requires deliberate organizational design – from governance structures and measurement frameworks to replanning cadences and cross-functional decision rights. Organizations beginning this journey benefit from structured diagnostic assessments that map current constraint visibility, allocation governance maturity, and planning integration gaps against the target operating model.

In a constrained world, performance is no longer determined by how accurately demand is forecasted. It is determined by how effectively access to limited capacity is governed.

The post Scarcity-Native Planning: Operating Models for Constrained Ecosystems appeared first on Data Center POST.

Originally posted on Sabey Data Centers.

Following the successful full lease-up of our first data center at our Round Rock, TX campus, we wanted to share a brief construction update on SDC AustinBuilding B.
Construction is now well underway, with the primary concrete structure rising and vertical construction clearly progressing. The project is tracking to schedule, and site activity has ramped up significantly as we move through early structural milestones.

Building B Highlights:

• 54MW of total capacity, powered by an onsite substation
• Fully secured utility power for the entire facility
• Liquid cooling optimized design to support next-generation workloads
• 6 data halls, each offering 30,000 SF of space

You can view a short video of our construction progress here.

The post SDC Austin Building B Progress Q1 2026 appeared first on Data Center POST.

Rob Thornton, President & CEO, International District Energy Association (IDEA)

As the number of data centers grows, so do concerns about location, power access, and grid capacity, especially as AI and cloud computing drive surging electricity demand. Yet, data centers hold an unexpected solution: the waste heat they generate can be harnessed for community benefit.

Captured through district energy systems, this heat can be transformed into a valuable community resource that provides low-carbon warmth, improves grid stability, and redefines data centers as energy partners.

The Power Behind the Numbers

In 2023, data centers accounted for roughly 4.4% of total U.S. electricity use, a share projected to rise to as much as 12% by 2028. As utilities and developers scramble to expand clean generation and transmission, waste heat reuse offers an immediate, scalable way to reduce carbon intensity and ease grid stress.

How Heat Reuse Works

Servers generate heat, which can be captured and directed into district energy networks—insulated pipes transporting hot or chilled water—supplying heat to nearby buildings. This approach reduces the electricity needed for heating and cooling, improving overall efficiency and cutting emissions. In essence, the data center becomes part of a shared local energy ecosystem.

Some add combined heat and power (CHP) systems that produce electricity and heat simultaneously. CHP can increase efficiency for large or urban centers. Two deployment models stand out:

• Urban data centers (10–20 MW): Linked to city energy networks for efficient heat export.
• Large, remote sites (100 MW–1 GW): Feature CHP-based microgrids to serve multiple facilities.

Cities Leading the Way

Areas with dense data center development, such as Northern Virginia’s “Data Center Alley,” are exploring new district heating networks to link excess data center heat with community energy needs. Several pioneering projects in Canada illustrate the potential.

• Markham, Ontario: An Equinix data center retrofitted for heat recovery now warms local condos, a university, schools, and recreation facilities, creating community benefits.
• Toronto, Ontario: Enwave Energy connects Telehouse Canada’s data centers to its system using deep-lake water cooling and waste-heat recovery. This model reduces resource use, enhances cooling, and supports city climate goals.

From Grid Burden to Energy Partner

Heat reuse fundamentally shifts the purpose of data centers from major power consumers to vital contributors in a circular energy economy. By sharing surplus heat, these facilities support decarbonization, reliability, and resilience, and these solutions can be achieved faster than large-scale infrastructure investments.

How Operators Can Get Started

For operators and planners evaluating heat reuse, three clear steps can set the foundation for success:

• First, thoroughly assess the site-level heat export potential for both new builds and retrofits by analyzing available waste heat, proximity to potential heat users, and compatibility with local district energy infrastructure.
• Second, proactively engage municipalities and district energy providers early. This means initiating discussions to align on infrastructure design needs, available incentives, and long-term energy offtake agreements.
• Third, explore hybrid system options—such as pairing CHP, thermal storage, and advanced cooling technologies—for maximum operational flexibility, especially when grid interconnections may be delayed. Evaluate each technology’s potential to complement site-specific requirements and constraints.

As the data economy grows, speed, sustainability, and resilience must move forward together. Waste heat has the potential to be much more than a byproduct; it can become a resource that positions data centers as active agents in community well-being. In the era of AI, shared energy is truly smart energy.

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About the Author:

Rob Thornton is President & CEO of the International District Energy Association (IDEA), a global nonprofit founded in 1909 that advocates for efficient, resilient, and sustainable district energy systems. Under his leadership, IDEA works with public and private partners worldwide to advance energy efficiency, decarbonization, and community-scale thermal networks.

The post From Server Heat to City Warmth: Data Centers’ Hidden Energy Advantage appeared first on Data Center POST.

Duos Technologies Group, Inc. (Nasdaq: DUOT), a leader in intelligent technologies and digital infrastructure, has signed a non-binding letter of intent (LOI) with Hydra Host to deploy a high-density NVIDIA GPU cluster for a leading global technology customer. The project supports a GPU-as-a-Service (GPUaaS) partnership expected to generate approximately $176 million in revenue over a 36-month term, with gross margins exceeding 80% and projected annual EBITDA of more than $40 million.

“We are thrilled to partner with the Duos team on this opportunity,” said Aaron Ginn, CEO and Co-Founder of Hydra Host. “Their ability to deliver immediate access to power combined with an industry-leading deployment speed makes them a standout in the market. We see significant runway ahead as we look to expand our collaboration around colocation and Duos’ High-Power EDC model, which we believe is purpose-built to address a market where demand for AI compute capacity is fundamentally outpacing the speed at which traditional data center supply can be delivered.”

Complementing this milestone, Duos has appointed Doug Recker as Chief Executive Officer, effective April 1, 2026, as the company accelerates its transformation into a focused Edge AI and digital infrastructure platform. Mr. Recker succeeds Chuck Ferry, who will continue to serve on the board of directors.

“This initial customer marks a pivotal step in accelerating the buildout of Duos Edge AI,” said Doug Recker, Chief Executive Officer. “We are now entering an exciting phase of execution, further reinforced by our recently announced LOI with Hydra Host, which underscores growing third-party demand for our distributed AI infrastructure model and validates the scalability of our platform. With secured power, rapid deployment capabilities, and expanding strategic partnerships, we believe Duos is well positioned to pursue high-value infrastructure opportunities. Our focus remains on disciplined expansion, capital-efficient growth, and delivering sustainable long-term value for our shareholders.”

Beyond GPUaaS revenue, the collaboration creates a pathway for approximately $25 million in incremental colocation revenue over the same term, validating Duos’ High-Power Edge Data Center (EDC) business line. The company has also signed a non-binding LOI for a ground lease in Iowa with access to up to 10MW of utility power, advancing its long-term goal of building up to 75MW of distributed capacity.

To learn more about Duos Technologies Group, Inc., visit www.duostechnologies.com.

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CloudKleyer Frankfurt GmbH, a German IT service provider, has completed an international project involving the relocation of a client’s server infrastructure from data centers in Stockholm and London to Frankfurt am Main. The project was delivered as a fully managed turnkey solution under the coordination of the CloudKleyer team.

The data center-to-data center (DC-to-DC) migration required the safe transfer of active production equipment while preserving uninterrupted service availability. Acting as the sole responsible contractor, the company supervised all phases of the project — from initial preparation to the controlled commissioning of systems.

Project implementation stages

1. Structured planning and risk assessment
2. Professional shutdown of operating equipment
3. Secure transportation with full insurance coverage
4. Coordination of access and on-site logistics
5. Equipment placement (rack & stack), cabling and integration
6. Testing, verification of operability and controlled launch

Centralized coordination ensured synchronization of technical and logistical activities and reduced risks commonly associated with infrastructure relocation. The project was completed within the scheduled timeframe and complied with established data center standards and security requirements.

Company representatives observe a growing number of infrastructure modernization initiatives across Europe, as businesses relocate workloads to modern facilities to improve reliability, scalability and regulatory compliance.

CloudKleyer intends to further expand its infrastructure transformation services and continue supporting clients in both domestic and international migration projects.

Find more information here.

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About CloudKleyer Frankfurt GmbH

CloudKleyer Frankfurt GmbH is an IT infrastructure provider with more than ten years of experience in the European data center market. The company offers colocation services, IT equipment rental, Remote Hands technical support, high-speed internet connectivity and direct connections to major cloud platforms.

The post CloudKleyer Frankfurt GmbH Announces Completion of Cross-Border IT Infrastructure Migration appeared first on Data Center POST.

By Bob Walicki, Ecolab Senior RD&E Program Leader

The rapid evolution of artificial intelligence has moved from a software trend to a massive physical infrastructure challenge. While headlines often focus on the gigawatt-scale builds of hyperscalers, a significant portion of the AI boom is occurring in the “mid-market” -enterprise data centers, regional colocation hubs, and edge facilities. For these small-to-mid-scale (SMS) operators, the challenge of hosting high-performance graphics processing units (GPUs) and AI accelerators exceeding thermal design powers of 1,000 watts is even more acute. Unlike hyperscalers with dedicated research teams, SMS players must find ways to adapt existing “brownfield” infrastructure to manage unprecedented heat without the luxury of starting from scratch.

The Mid-Market Liquid Cooling Transition

For decades, air cooling was the “flat and boring” standard for the computer centers found in banks, universities, and regional hosting firms. However, as rack densities climb from a traditional 5 kW toward 50 kW or even 100 kW, traditional air-conditioning methods are reaching a physical ceiling. In fact, 2026 is seeing a surge in retrofit activity as colocation sites struggle to let mixed densities coexist efficiently.

The primary hurdle for SMS operators is not just the cooling capacity itself, but the operational complexity and capital investment required for a liquid-cooled transition. Many operators are now moving toward integrated cooling platforms that bridge the building’s traditional chilled-water loop and the new high-density server racks.

The CDU as a Bridge for Existing Facilities

At the center of this shift is the Coolant Distribution Unit (CDU). For a mid-market operator, the CDU acts as a critical thermal “bridge.” A liquid-to-liquid CDU effectively isolates the facility’s existing water loop from the sensitive, high-value electronics via a secondary fluid network (SFN).

This isolation is particularly valuable for colocation and enterprise sites because it allows managers to precisely control the fluid chemistry, flow rate, and temperature for a specific “GPU-heavy” cluster without needing to overhaul the entire building’s plumbing. In-rack CDUs, in particular, offer targeted cooling with a smaller footprint and simplified deployment, making them ideal for the edge or regional high-density setups where floor space is at a premium.

Reliability Through Precision Chemistry

For smaller teams with fewer on-site cooling specialists, the coolant formulation itself becomes a strategic reliability factor. Standard water or traditional glycols often lack the long-term material compatibility required for modern direct-to-chip, where incompatible metals can trigger galvanic corrosion.

SMS operators are increasingly adopting next-generation coolants that match high-performance specifications while offering a lower carbon footprint. To manage these complex fluids, advanced telemetry – such as Ecolab’s 3D TRASAR™ technology – can now be built directly into smart CDUs. This “connected coolant” approach monitors pH, conductivity, and glycol concentration in real-time, allowing smaller teams to shift from reactive maintenance to proactive adjustments. By automating these checks, operators can extend maintenance intervals and significantly reduce the risk of early-life failures.

Stewardship as a Strategic Requirement

As data centers increasingly embed themselves in metro and suburban locations to support low-latency AI, they face rising community scrutiny regarding resource use. Small-to-mid-scale operators must now balance Power Usage Effectiveness (PUE) with Water Usage Effectiveness (WUE) to maintain their social license to operate.

A roadmap for this shift is visible in programs like Microsoft’s Community-First AI Infrastructure initiative, launched in early 2026. This framework commits to five core pillars, including concrete promises to minimize operational water consumption and replenish more water than facilities withdraw. For SMS players, following these stewardship best practices is not just about ethics; it is about securing permits and ensuring long-term operational resilience in power- and water-constrained regions.

Future-Proofing with “Cooling as a Service”

To overcome the “high CapEx” barrier of liquid cooling, many operators are turning to service-led models like Cooling as a Service (CaaS). These models convert complex thermal management stacks into predictable, auditable outcomes. By leveraging specialized vendors who handle commissioning, fluid analysis, and real-time monitoring, SMS data centers can scale their AI capabilities as quickly as the platforms change, without over-engineering their facilities for an uncertain future.

Ultimately, the transition to liquid cooling is not just for the giants of the industry. By integrating smart hardware, precision chemistry, and service-based models, small-to-mid-scale operators can bridge the density gap and reliably host the next generation of mission-critical AI workloads.

# # #

About the Author

Bob Walicki is an innovation leader with nearly 20 years of experience in research, development and engineering at Ecolab, a global leader in water and infection prevention solutions. He is currently responsible for driving innovation for Ecolab’s Global High Tech Data Centers segment. Most of Bob’s career has been oriented to solving customer problems related to industrial water treatment and utilization in many industries, including Mining and Mineral Processing through application of novel chemistries as well as intelligent automation and digital solutions. He holds a Bachelor of Science degree in Chemistry from the University of Notre Dame as well as a Master’s of Science and a PhD in Physical Chemistry from the University of Chicago.

The post Bridging the Density Gap: The Shift Toward Integrated Cooling for the Mid-Market appeared first on Data Center POST.

PTC’26 in Honolulu brought together global leaders shaping the future of connectivity and digital infrastructure. Amid conversations about scale, capacity and next-generation networks, one theme stood out: the growing need to align infrastructure development with the communities it serves. Among the event’s luscious backdrop in Hawaii, Ilissa Miller, founder of iMiller Public Relations and editor-in-chief of Data Center POST, shared how that challenge is shaping her work, and a new industry initiative designed to address it head-on – the OIX Digital Infrastructure Framework Committee. Onsite at PTC ’26, Miller spoke with Isabelle Paradis of Hot Telecom to share how communities are navigating the rapid expansion of digital infrastructure and why a more structured planning approach is urgently needed.

As data centers and digital infrastructure projects proliferate, municipalities are increasingly encountering developments that are far more complex than traditional commercial or residential projects. Power requirements, water usage and long-term resource planning often raise questions and concerns at the community level, leading to hesitation or pushback when local leaders lack clear context or planning tools, slowing projects and complicating conversations with the community.

Drawing on 30  years of experience working at the intersection of infrastructure development and public engagement, Miller explained that the challenge is not opposition to technology itself, but uncertainty and change. For example, digital infrastructure developments, such as data centers, do not impact communities in the same way as housing, or even industrial developments. Yet, many municipalities are being asked to evaluate projects without a framework that reflects those differences. That gap, she noted, is where the industry must do more to educate, engage and partner with local decision-makers in order to be effective.

In response, in September 2025 Miller announced  the Digital Infrastructure Framework Committee through the OIX Association, a nonprofit organization serving the broader digital infrastructure ecosystem of network, cloud and data center operators. The volunteer-led committee is developing a practical planning framework intended specifically for municipalities and city planners. Rather than reacting to individual project proposals, the framework encourages communities to define a long-term vision for technology infrastructure in their communities, assessing what they have today, what will be required to support governments and businesses tomorrow, and how technology can enable sustainable growth over time.

Miller emphasized that the initiative is built around collaboration and real-world expertise. The committee meets every other week and regularly brings in industry specialists to inform the framework, ensuring it reflects how digital infrastructure is actually designed, financed and deployed. The goal is to deliver a draft to market by early summer, giving municipalities a tangible resource at a time when infrastructure decisions are becoming increasingly consequential.

At PTC’26, where global connectivity, data centers and digital ecosystems take center stage, Miller’s message resonated clearly: the future of digital infrastructure depends not only on innovation and investment, but on trust, transparency and alignment with the communities that host it. By helping municipalities better understand what they are evaluating, initiatives like the Digital Infrastructure Framework aim to move the industry toward a more collaborative, sustainable model for growth.

Save the dates for PTC’27 which will take place in Honolulu, Hawaii from January 17-20, 2027.

You can find the full interview here.

The post PTC’ 26: Ilissa Miller on Building a Community-Centered Digital Infrastructure Framework appeared first on Data Center POST.

Originally posted on Datalec LTD.

In a digital economy where uptime is non-negotiable, effective critical facilities management (FM) is becoming a primary lever for managing outage risk in high‑density, AI‑driven data centres. As infrastructure grows more complex and AI-driven compute places unprecedented strain on power and cooling systems, operators face escalating risks, making the cost of getting FM wrong higher than ever.

Evolving Pressures, Escalating Risks: The New Reality for Data Centre Operators

Despite steady year-on-year improvements in resilience, the industry continues to operate under significant pressure. According to Uptime Institute’s 2025 Outage Analysis, outages are occurring less frequently but are becoming more complex and more expensive when they do happen. Power-related failures remain the leading cause of impactful incidents, accounting for 54% of major outages, while 53% of operators reported at least one outage in the past three years, even as overall rates decline.

This challenge is amplified by the rapid rise of AI and the high-density compute requirements. AI workloads are now “straining existing infrastructure, especially around power and cooling,” creating new categories of risk that simply didn’t exist a decade ago. Staffing shortages across the sector add further pressure, reducing the availability of experienced professionals capable of managing mission-critical environments.

The financial implications are equally significant. More than 54% of organisations reported that their most recent outage exceeded $100,000 in cost, and 20% experienced losses above $1 million. For large enterprises, downtime can reach $540,000 to well over $1 million per hour, depending on sector and workload criticality.

This is the operating landscape that data centre leaders must now navigate, where even small procedural missteps can cascade into business-critical failures.

To continue reading, please click here.

The post Why Effective Facilities Management Is Essential for Today’s Data Centre Operators appeared first on Data Center POST.

By Kevin Dickens, CEO at Empire Fiber Internet

Reliable, high-speed Internet access is essential for economic growth, education, and online engagement in today’s rapidly evolving digital landscape. However, many communities in Northeastern Pennsylvania struggle with limited access to affordable broadband options and are often stuck with suboptimal methods such as traditional cable. These factors restrain business and residential users in their ability to fully utilize the modern Internet which has evolved into an essential utility and bedrock of digital business. This leaves rural areas behind their urban counterparts, creating the digital divide. The deployment of fiber optic network infrastructure in these communities has the potential to stimulate economic growth and development while improving bandwidth performance and Internet access for residential users, resulting in substantial benefits on a multitude of levels.

While other Internet technologies exist, fiber is the gold standard. As the CEO of Empire Fiber Internet, a local provider, I understand how these technologies work and affect communities like Bloomsburg. Fiber networks are inherently more reliable and secure than other methods because the cables are installed underground, making them less susceptible to physical damage and weather-induced events. Fiber optic technology is made from glass and transmits data through the network by sending pulses of light which travel at the speed of light, unmatched by any other Internet transport medium. This allows home users to more seamlessly connect to educational resources, streaming services, and online gaming without worrying about buffers and lag time, while businesses can improve their overall efficiency and drive higher levels of customer satisfaction.

Bloomsburg and the surrounding area is receiving major investments in technology through the development of data centers. These secure facilities store and manage Internet data. They support a stronger digital infrastructure by keeping data local, which enhances performance and reliability for nearby users. But how do we get the most out of it? Fiber connects buildings directly to the infrastructure backbone laid out by data centers, which reduces latency (improves Internet speeds), making it the technology of choice.

Fiber optic Internet improves the online experience for residents with significantly faster speeds and better reliability compared to traditional cable and copper facilities. With multi-device functionality, multiple users can simultaneously connect to home Wi-Fi without experiencing significant speed drops, whereas cable Internet users may suffer from lag and connectivity issues during high-usage time. Additionally, if a user needs higher speeds, such as to support work-from-home demands, fiber offers built-in scalability. Speed adjustments are easy to make as needs evolve, thanks to fiber’s ability to accommodate changes without requiring infrastructure upgrades.

While businesses already operating in Northeast Pennsylvania can become more efficient leveraging the superior performance capabilities of fiber, the presence of enhanced performance fiber infrastructure will also attract new businesses. Fiber allows companies to transfer data faster, conduct virtual meetings with quality video, and drive digital business. These are especially relevant for retail, healthcare, manufacturing, professional services, and high-tech businesses, which are major drivers of today’s markets. Fiber can also lead to cost savings for businesses because it is future-proof and scalable, meaning as businesses grow, their Internet needs can be easily met. The impact of stronger and new business ventures can create jobs and increase tax revenue to these communities, stimulating economic growth.

Unlike cable Internet, fiber optic technology provides unparalleled scalability, reliability, security, and speeds. These qualities make fiber the ideal choice for businesses looking to gain a competitive advantage, and for residents who want faster and more consistent services. By embracing the benefits of fiber-based Internet with local providers who strive to bridge the digital divide, Northeastern Pennsylvania can better utilize the full power of the modern Internet.

The post The Impact of Fiber Internet on Northeast Pennsylvania appeared first on Data Center POST.

Datalec Precision Installations (DPI) has introduced its next-generation Data Centre Modularisation Solution, targeting operators that need to add capacity quickly without sacrificing control, reliability or lifecycle value.

Developed in response to surging demand for rapid capacity expansion, the new solution is designed to compress delivery timelines while maintaining full flexibility over configuration, performance and long-term scalability. Each system is precision engineered and manufactured by Datalec to ensure compatibility across structural, mechanical and electrical systems, helping to reduce onsite risk and integration challenges.

Datalec’s modular approach combines pre-engineered design principles with tailored manufacturing, enabling customers to adapt deployments to specific site conditions, operational requirements and growth strategies, including AI-intensive workloads. By shifting more work offsite into a controlled manufacturing environment, the solution minimises disruption associated with traditional construction-led projects and supports safer, more succinct installations and a faster speed to market.

“With organisations under pressure to scale quickly while managing capital expenditure and quality, this launch marks a pivotal shift in how data centre capacity can be delivered,” said John Lever, Director of Modular Solutions at Datalec. “Our modular solution brings these priorities together, giving customers the confidence and agility to develop at the pace their business requires.”

By emphasising reliability, engineering excellence and lifecycle value, Datalec’s new Modularisation Solution reinforces the company’s role in delivering robust, scalable infrastructure for today’s data-driven enterprises and AI-led digital transformation. More information on Datalec’s modular critical infrastructure solutions is available at www.datalecltd.com/critical-infrastructure/modular.

The post Datalec Unveils Next-Generation Modular Data Centre Solution to Accelerate Deployment appeared first on Data Center POST.

While power dominates the headlines in AI infrastructure, water is the silent arbiter of project viability. Investors and developers obsess over megawatts and grid capacity, but the reality is that cooling systems are tethered to a resource that is often less predictable and more politically charged. When water or wastewater capacity hits a ceiling, the fallout moves beyond engineering. It triggers permitting stalls, operational interruptions, and structural impairment of asset value.

Across the U.S., municipalities are no longer just providing service; they are becoming the ultimate ‘gatekeepers’ for high-volume users. For instance, Tucson now requires any new or expanding large water user expecting more than 7.4 million gallons per month to submit a conservation plan, undergo public review, and secure City Council approval before accessing Tucson Water.

Marana’s policy further states that Marana Water will not supply potable water to data centers for cooling and requires documentation of an alternate source. In Chandler, the city council unanimously rejected a proposal to rezone land for a 422,000-square-foot AI data center campus after public opposition emphasized water use, noise, and limited local benefit.

Strategically positioned between engineering and financial close, these water policies represent a major ‘blind spot’ for developers. Late-stage discovery of water limitations results in stranded capital and protracted entitlement delays. For modern investors, such water risk is now a primary underwriting variable that can dictate the viability of an entire transaction.

Why Power Is Only Half the Constraint

Power determines how much IT load can be energized, but cooling determines whether that load can operate within temperature limits on peak summer days. Cooling design also determines whether the site depends on local water, meaning the true constraint is rarely singular.

Data centers typically rely on one of two primary heat rejection approaches.

Evaporative systems, such as cooling towers, remove heat through water evaporation. This requires continuous makeup water to replace evaporative loss and generates blowdown to control mineral concentration. Blowdown becomes a wastewater stream, tying the facility to sewer capacity, discharge regulations, and pretreatment requirements.

Dry systems, such as air-cooled chillers and dry coolers, reduce direct on-site water consumption but increase electrical demand as outdoor temperatures rise, particularly during summer peaks. That shift moves the constraint toward grid capacity and power pricing during the very hours when electricity is most expensive and constrained. In both configurations, the constraint does not disappear but shifts, and each approach carries a distinct exposure profile that must be evaluated at the basin and grid level.

Inside the Water Footprint of AI Data Centers

Water exposure extends beyond the visible intake line and is often more complex than initial site reviews suggest.

In tower-based systems, make-up water demand rises as ambient temperatures increase because more heat must be rejected during peak hours. Blowdown volumes also rise, increasing steady wastewater discharge. In many jurisdictions, wastewater capacity determines viability before raw water supply does. Dissolved solids and treatment chemistry can trigger pretreatment mandates or exceed plant acceptance thresholds, creating operational bottlenecks that were not modeled at the outset.

The true water footprint of an asset is often obscured by ‘siloed’ diligence. While a facility might minimize on-site usage, it remains tethered to the water intensity of the local energy mix—a dependency that creates a hidden risk during peak demand. Because most models consider water, power, and wastewater as isolated variables, the full scale of the water-energy nexus is rarely consolidated. This leaves the project exposed to systemic failure points that only become visible late in the development cycle.

Why Water Risk Is Frequently Mispriced

The assumption that water is a stable, predictable utility is a significant blind spot in traditional underwriting. Standard diligence often stops at a letter of intent from a provider, ignoring regulatory contingencies—such as recycled water mandates or peak-heat restrictions—that govern high-intensity facilities. Failing to account for these municipal requirements leads to Capex volatility and structural delays, turning a simple utility expense into a primary threat to projected returns.

At a portfolio level, aggregated corporate reporting can obscure localized exposure. Average water intensity metrics do not reveal whether specific assets sit in basins facing physical scarcity or wastewater systems operating near capacity. Valuations that assume perpetual expansion can fail at the local level when additional allocation is unavailable, undermining long-term growth assumptions embedded in underwriting models.

From Environmental Constraint to Financial Exposure

Water risk tends to accumulate over time, moving through operations, regulation, and local politics until it becomes a real constraint on performance.

For operators, the first pressure points are often summer peaks, when supply limits tighten and water quality can swing at the exact moment cooling systems are working hardest. This dilemma then leads to emergency operational changes that pull maintenance forward, or take short outages. Ultimately, the revenue impact of those decisions is usually disproportionate to the duration of the disruption.

For developers, on the other hand, regulatory shifts can trigger midstream redesigns. A project engineered around potable water may be required to transition to reclaimed supply, adding infrastructure, storage, and treatment complexity after capital has already been committed.

Public opposition at the local level introduces political friction that stalls approvals and compounds reputational risk. Contentious infrastructure upgrades can derail project schedules and force unfavorable cost-sharing renegotiations. Collectively, these municipal factors feed into underwriting through increased delay risk, Capex volatility, and a diminished capacity for long-term expansion.

What Needs to Change in Infrastructure Planning

Water must be evaluated at the same stage as power during site screening and early design.

A simple confirmation of water availability is no longer sufficient. Basin-level allocation rules, drought contingency plans, wastewater capacity, discharge quality requirements, and embedded grid water intensity must be assessed before engineering assumptions are finalized.

Every investment memo and design review should include a transparent water balance that identifies source type, volume requirements, discharge pathways, and regulatory triggers under peak conditions. This allows engineering and underwriting teams to evaluate exposure in parallel rather than sequentially.

Water limits are now shaping asset values in a direct, measurable way. Resilience starts with expansion plans that can hold up under tighter supply caps, and with capital that funds backup sourcing options and protection against shifting rules. Financing and insurance need to move to basin-by-basin risk models, because water availability is already the deciding factor in approvals and the constraint that most reliably dictates whether an asset can keep performing over time.

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About the Author

Dr. Vian Sharif is the Founder and President of NatureAlpha, an AI-first fintech platform delivering science-based environmental risk insights across nearly $3 trillion in assets under management. With 20 years of experience at the intersection of finance, technology, and sustainability, she also serves as Head of Sustainability at FNZ Group and is a global advisor on nature-aligned investing. She holds a PhD in Environmental Behavior Change and was recognized with a 2025 Fin-Earth Award for Natural Capital and Biodiversity.

The post Why Water Risk Is the Missing Variable in AI Infrastructure Planning appeared first on Data Center POST.

On the waters off O‘ahu, a growing digital infrastructure tradition is quietly helping shape Hawai‘i’s next generation of IT professionals. fifteenfortyseven Critical Systems Realty (1547) recently hosted its 3rd Annual Aloha Charity Fishing Tournament: Fishing for Futures, raising $40,000 to support technology education and workforce development across the islands. Held on January 17, 2026, ahead of the Pacific Telecom Council’s annual PTC’26 conference, the event highlighted how industry collaboration can directly advance technology education and workforce development across the islands.

All proceeds from the tournament will benefit the Chamber of Commerce Hawai’i’s Information Technology Sector Partnership Program, helping to expand technology education, training, and career pathways for students and jobseekers statewide. The initiative aligns with 1547’s ongoing investment in Hawai‘i through its local operations, including DRFortress and AlohaNAP, the state’s premier multi-tenant, carrier-neutral data centers that serve as key hubs in the region’s digital infrastructure ecosystem.​

This year’s tournament also reinforced 1547’s commitment to supporting the local economy by partnering with Hawai‘i-based vendors for catering, hospitality, and charter services. Event catering was provided by Aloha Culinary Group and Fin’s Bagels, while Whipsaw Sportfishing, a local O‘ahu-based charter, coordinated the fleet and donated a charter experience to the tournament winner. Additional local charter operators participating in the tournament included Golden Dragon, Limitless, Magic, Mattie, Play N Hooky, Reel Life, Renegade, Ruckus (Five Star Sportfishing), Ruckus (Ruckus Sportfishing & Diving), and Sea Hawk.

The tournament’s fundraising success was driven by the generous support of sponsors across the digital infrastructure ecosystem, including Allianca Group, Connect Data Centers Powered by Oppidan, DLA Piper, DRFortress, Harrison Street, Hawaiian Telcom, Holt Construction Mission Critical, Oberle Law, Stillwell-Hansen, TPK Consulting, Trane, Competitive Telecoms Group, iMiller Public Relations and WTEC Their contributions will directly support technology education and workforce development programs that help prepare the next generation of IT professionals in Hawai‘i.

“The 1547 Aloha Charity Fishing Tournament is a powerful expression of the Spirit of Aloha, uniting our industry around a shared purpose of investing in Hawai‘i’s future,” said J. Todd Raymond, CEO & Managing Director at 1547. “When we come together as a community, we can do more than build networks; we can open doors for the next generation of technologists, innovators, and leaders across the islands.”​

Building on the momentum of the first three tournaments, which together have raised tens of thousands of dollars for Hawai‘i communities, the Aloha Charity Fishing Tournament has become a highly anticipated tradition ahead of the annual PTC conference, blending industry networking with philanthropy. Looking ahead, 1547 plans to expand the event’s reach and impact, with the 4th Annual Aloha Charity Fishing Tournament scheduled for Saturday, January 16, 2027, followed by an awards presentation and barbecue at Ala Moana Regional Park in Honolulu. Those interested in participating in the 2027 tournament or learning more about 1547, AlohaNAP, and the company’s community initiatives can visit 1547’s website for additional information.

To read the full release, please click here.

The post Aloha Fishing Tournament Casts a Wider Net for Hawai‘i’s Tech Future appeared first on Data Center POST.

A veteran forensic consultant’s patent-pending platform is exposing the hidden scheduling failures that silently destroy value across every major infrastructure project in America.

Every year, billions of dollars in construction value are destroyed; not by bad materials, not by incompetent workers, not even by unforeseen site conditions. They are destroyed by scheduling failures that nobody caught in time.

Ricardo Hinojos has spent more than two decades in the field, from underground utilities to hyperscale data centers serving some of the most demanding clients on the planet. In project after project, he kept seeing the same quiet crisis: schedules that looked clean on paper but were riddled with deficiencies invisible to the human eye — missing logic ties, resource conflicts, unrealistic durations, and cascading risks that would not surface until millions of dollars were already committed.

The industry accepted this as normal. Mr. Hinojos refused to.

The Data Tells a Brutal Story

In forensic work analyzing over $3.2 billion in construction projects, RHSS found that more than 70 percent of construction schedules contain critical deficiencies; errors significant enough to compromise project delivery, inflate costs, and expose owners to litigation. These are not minor formatting issues. These are logic gaps that cause downstream collapse. Duration assumptions that defy physics. Resource allocations that exist only on paper.

For hyperscale data center construction, where a single day of delay can cost hundreds of thousands of dollars in lost revenue, this is not merely an operational problem. It is a financial crisis in slow motion. Amazon, Google, Microsoft, and the broader hyperscale ecosystem are racing to bring capacity online against unprecedented demand, with the margin for error shrinking every quarter.

Why Traditional Scheduling Tools Are Not Enough

Primavera P6. Microsoft Project. Oracle. These are powerful platforms. But they are instruments, not intelligence. They record what you tell them. They do not question whether what you told them is right. The gap between a schedule that looks compliant and one that is defensible has always required a seasoned expert to bridge. Until now, that meant expensive consultants, weeks of review, and subjective judgment calls that did not always hold up in court or in client meetings.

The construction industry has been waiting, perhaps without realizing it, for something categorically better.

A New Paradigm: Predictive Schedule Intelligence

The platform developed by Ricardo Hinojos Scheduling Solutions represents what the firm calls predictive schedule intelligence, an AI-powered validation system purpose-built for the complexity of hyperscale infrastructure projects. The patent-pending system achieves 91 percent accuracy in identifying schedule deficiencies before they become field problems. It does not merely flag errors; it predicts cascading impacts, generates litigation-grade documentation, and produces defensible forensic analysis at a fraction of the time and cost of traditional methods.

“This is not a bolt-on feature for an existing platform,” Mr. Hinojos said. “It is a ground-up rethinking of how construction intelligence should work. The industry has accepted preventable failure for too long.”

What RHSS Delivers

• Automated Schedule Validation: Quality checks against DCMA 14-Point analysis, contract specifications, and industry standards, completed in hours rather than weeks.
• AI-Driven Resource Loading: Manpower forecasting and crew productivity analysis tied to real-world RS Means labor data across all construction disciplines.
• Forensic Delay Analysis: Court-ready documentation and defensible delay analysis built to withstand litigation, arbitration, and regulatory scrutiny.
• Earned Value Integration: Real-time project health visibility through EVM metrics calibrated for hyperscale data center construction workflows.

The Bigger Picture

We are entering an era where the organizations that build the fastest, most reliably, and most cost-effectively will not simply be the ones with the best labor or the best materials. They will be the ones with the best intelligence systems. RHSS was built precisely for this moment, and for the clients, partners, and technology companies that recognize what is at stake in the race to deliver the infrastructure that powers the modern economy.

# # #

About the Author

Ricardo Hinojos is a Certified Forensic Construction Consultant (CFCC) with 20+ years in construction project management and forensic consulting. He specializes in hyperscale data center construction scheduling, forensic delay analysis, and AI-powered project intelligence. He holds a patent-pending AI schedule validation system achieving 91% accuracy across $3.2 billion in analyzed projects and serves as an expert witness in construction delay litigation and arbitration.

The post The Construction Industry Has a $500 Billion Problem — And AI Is Finally Ready to Solve It appeared first on Data Center POST.

Originally posted on DāSTOR LLC.

Healthcare organizations are under increasing pressure to protect patient data while maintaining uninterrupted clinical operations. Ransomware activity continues to target hospitals, regulatory scrutiny is rising, and years of accumulated unstructured data have made security and compliance more difficult to manage. At the same time, many organizations are being asked to modernize infrastructure and prepare for cloud adoption with limited internal resources.

As a strategic technology partner to the New Jersey Hospital Association (NJHA), DāSTOR is working with member hospitals to bring unstructured data under control, strengthen security, and build a more reliable foundation for future AI and analytics. This collaboration focuses on giving hospitals a clearer view of their data so they can reduce risk, curb costs, and move forward with confidence.

Unstructured Data Risk in Healthcare

Much of a hospital’s most sensitive information lives in unstructured form, including clinical documents, imaging files, shared drives, and historical records. These files often remain accessible long after their primary use has ended, increasing storage costs and expanding the attack surface for ransomware and other threats.

When teams lack a complete inventory of this data, several challenges follow:

• Limited visibility into where sensitive patient data resides
• Greater exposure during ransomware and breach events
• Compliance risk from over-retention and inconsistent classification
• Rising storage and backup costs driven by low-value data

Many hospitals already invest in security tools, yet still lack visibility into the data those tools are meant to protect.

To continue reading, please click here.

The post Securing Healthcare Data Without Disrupting Care appeared first on Data Center POST.

As organizations modernize infrastructure, expand cloud environments, and support hybrid workforces, cybersecurity strategies are evolving alongside them. While investments in network security, data center resilience, and endpoint protection continue to grow, one constant remains: people are often the first line of defense against phishing and social engineering threats.

To address this reality, Aureon has introduced a new Security Awareness Training platform designed to help organizations reduce preventable incidents through continuous, behavior-focused education. The solution combines realistic phishing simulations, adaptive learning modules, and executive-level reporting to support measurable improvement over time.

Moving Beyond Check-the-Box Training

Traditional security awareness programs frequently rely on annual compliance-based training. While important, that approach alone may not reflect the pace at which threat actors adapt their tactics.

“Security awareness has to move beyond annual check-the-box training,” said Rhiannon Thompson, Product Manager, Managed Services at Aureon. “With Aureon Security Awareness Training, customers get continuous, adaptive education tied to real-world threats, along with executive-level reporting that helps organizations demonstrate measurable impact.”

Aureon’s platform incorporates multi-vector phishing simulations built around realistic, AI-driven scenarios. These simulations provide employees with practical exposure to common attack techniques, helping reinforce recognition and reporting behaviors in real-world contexts.

Adaptive microlearning modules further tailor content based on role, department, and individual risk exposure. By aligning education with job function and industry requirements, organizations can deliver more relevant training while strengthening overall security culture.

Executive Visibility into Human Risk

In addition to end-user training, the platform provides leadership teams with actionable insight. Human risk dashboards track reporting rates, risky behaviors, and improvement trends, offering a clearer view into how employee behavior evolves over time.

This level of visibility enables organizations to demonstrate progress internally and support audit readiness through policy acknowledgments, attestations, and structured reporting. For regulated industries in particular, tying awareness initiatives to measurable metrics can simplify governance efforts.

“Organizations don’t just need awareness, they need resilience,” said Joseph Johnson, VP Product Development at Aureon. “Our training helps make security an everyday habit, reducing preventable incidents and strengthening security culture across teams.”

Managed Support for Sustainable Impact

Beyond the technology itself, Aureon provides managed program support that includes implementation, campaign oversight, and ongoing reporting. This approach is designed to ensure that security awareness remains consistent and adaptive rather than a one-time initiative.

As digital infrastructure grows more complex, strengthening security posture requires attention not only to systems and networks but also to the individuals interacting with them daily. Continuous education, realistic simulations, and executive-level insight together form a framework that supports long-term organizational resilience.

For more information about Aureon’s Security Awareness Training solution, visit www.aureon.com/landing/what-is-security-awareness-training.

The post Aureon Strengthens Security Culture Through Continuous Awareness Training appeared first on Data Center POST.

Originally posted on Compu Dynamics.

The data center industry is entering a new phase — one defined less by generic flexibility and more by purpose-built design. For years, operators relied on large, adaptable white-space shells to support a wide range of workloads. That model served the cloud era well. But the rise of AI and high-density computing is reshaping infrastructure requirements, pushing the industry toward more integrated, modular, and performance-driven environments.

In a recent QTS podcast with David McCall, Steve Altizer, CEO of Compu Dynamics, shares his perspective on how prefabrication and modular white-space design are becoming foundational to building data centers ready for the AI era.

Why the White Space Is the New Frontier for Modular Innovation

As AI workloads push power density to new extremes, long-standing assumptions about how data centers are designed and built are being challenged. White space, once treated as a static and custom-built environment, is rapidly becoming the next frontier for modular innovation.

Why Density Changes Everything

AI workloads aren’t just hotter, they’re architecturally different. When you’re deploying GPU arrays that demand 100kW per rack today and 600kW tomorrow, you’re not simply installing servers; you’re building a machine. The sheer volume of structural steel, high-pressure liquid cooling pipes, power distribution, and network infrastructure required to support these dense deployments creates an entirely new opportunity: factory assembly.

Traditional cloud data centers were too light and airy to justify prefabrication – components would literally fall apart in transit. But modern AI infrastructure is robust, dense, and highly engineered. It’s perfect for modular construction. Think of it as building a motherboard rather than a room. Every element – power, cooling, network – works in precise coordination to support the chips doing the computational work.

To continue reading, please click here.

The post Rethinking Data Center Construction In The AI Era – The QTS Experience Podcast appeared first on Data Center POST.

PTC’26, held January 18–21 in Honolulu, Hawaii, brought together thousands of leaders across telecommunications, data centers, subsea networks, cloud, and investment to examine the rapidly evolving future of global connectivity. As one of the industry’s most influential annual gatherings, the conference served as a central forum for exploring how artificial intelligence is reshaping infrastructure strategy, workforce planning, and international collaboration.

This year’s agenda reflected a pivotal moment for the digital ecosystem. Discussions throughout the week made clear that AI is no longer an emerging trend, it is a core driver of network design, capital investment, and operational transformation. From subsea capacity planning to power availability and edge computing, nearly every conversation pointed to a shared reality: the infrastructure required to support AI is redefining how the industry plans, builds, and partners.

The AI Era: Technology Accelerated, People Essential

A recurring theme across the conference was the evolving relationship between AI tools and human expertise. One of the most talked-about sessions, “The Future of Recruiting: Powered by AI, Perfected by People,” captured this balance directly.

The panel featured a diverse group of industry leaders: Matt DeMartino, Partner for Competitive Telecoms Group; Phill Lawson-Shanks, Chief Innovation Officer of Aligned Data Centers; Jennifer Parkhill, Senior Director of Strategy Execution/Program Management for Verizon Partner Solutions; Aidan Walker, Founder and CEO, Infraviva; and was moderated by Rhys Morgan, Partner, Infranovus.

The panel highlighted how automation is improving résumé screening, candidate sourcing, and scheduling, while emphasizing that leadership evaluation, cultural alignment, and strategic hiring decisions still require human judgment. The takeaway resonated far beyond HR teams: AI can enhance speed and efficiency, but people remain central to innovation, leadership, and long-term success.

Industry Voices at the Center 

Throughout PTC’26, the interdependence of compute, power, and connectivity shaped nearly every major discussion. Sessions focused on subsea systems, global network capacity, and AI-ready infrastructure reinforced how deeply interconnected the ecosystem has become.

Many companies contributed to these discussions. Assured Communications’ CEO Joel Ogren and Chief Growth Officer Tim Parker shared their insights through poster sessions and lightning talks examining subsea cable capacity, edge computing, and AI inference at scale. Their perspectives highlighted both the opportunities and challenges of meeting surging AI-driven demand, particularly around resilience, regulatory complexity, and global system integration.

A major highlight of the week came with the annual PTC awards ceremony. A number of companies went home with pride of being recognized as a stand out contributor among many categories of submissions, including Duos Edge AI a subsidiary of Duos Technologies Group, which received the Outstanding Innovation Award at PTC’26, one of the conference’s most prestigious honors. The award celebrated Duos Edge AI’s pioneering modular Edge Data Center platform, designed to bring AI-ready compute closer to end users through secure, scalable, and rapidly deployable infrastructure. By localizing computing power at the edge in underserved communities, Duos Edge AI enables real-time AI processing and supports use cases like telemedicine, digital learning, and municipal services.

Beyond formal sessions and awards, hundreds of private meetings and informal discussions echoed the same message: success in the AI era will require closer coordination between carriers, data center operators, technology providers, and investors than ever before.

The Road Ahead

PTC’26 emphasized a powerful reality: the future of digital infrastructure will be built at the intersection of AI, energy, connectivity, and human expertise. While technology is advancing at unprecedented speed, long-term success will depend on collaboration, adaptability, and strategic clarity.

As organizations prepare for the next wave of AI-driven demand, the conversations and relationships formed at PTC continue to serve as a foundation for progress.

For 2027, we expect the event to be as well attended as this year. Strategic support is available, particularly for companies new to the sector or seeking to differentiate and gain greater exposure. Data Center POST’s parent company, iMiller Public Relations provides industry-leading public relations and community engagement programs along with event and trade show marketing packages that help propel and differentiate brands. Companies can learn more by visiting www.imillerpr.com.

In the meantime, SAVE THE DATE for PTC’27 at the Hilton Hawaiian Village in Honolulu, HI: January 17-20, 2027.

To learn more about the Pacific Telecommunications Council and upcoming events, visit www.ptc.org.

The post Inside PTC’26: AI Infrastructure, Edge Innovation, and the Power of Human Expertise appeared first on Data Center POST.

The digital landscape is undergoing a fundamental shift as computing power moves closer to the source of data generation. Distributed edge data centers are becoming the backbone of smart cities and critical infrastructure, providing the low latency and high bandwidth required for real-time applications. However, this decentralized model introduces a significant operational challenge. Unlike traditional centralized facilities, these edge sites are often small, unmanned, and located in diverse environments prone to temperature fluctuations and humidity.

A recent milestone in this sector highlights how large-scale organizations are addressing these complexities. A major Mexican municipality recently implemented a Smart IoT data center solution to oversee its growing network of facilities. This initiative serves as a blueprint for how urban centers can maintain resilient infrastructure without the need for constant on-site personnel. By adopting a proactive management strategy, the municipality ensured that its critical data services remain operational regardless of environmental stressors.

The Imperative for Remote Oversight

Data centers of all sizes require perfect working order to support cloud services and business operations. When facilities are distributed across a wide geographic area, the risks associated with equipment failure or unauthorized access increase. Traditional manual inspections are no longer sufficient or cost-effective. An ideal solution must instead rely on a network of sensors that monitor environmental conditions and potential risks in real time.

Environmental factors such as excessive heat, moisture, or even dust can lead to catastrophic hardware failures. Without automated oversight, a minor leak or a failing cooling fan can escalate into a major outage before it is even detected. Consequently, the industry is moving toward a framework that prioritizes predictive maintenance and real-time visibility.

Core Components of a Modern Monitoring Framework

To achieve true resilience, an ideal remote management system should integrate several key technological pillars.

First, connectivity must be both reliable and simple to deploy. Utilizing Long Range Wide Area Network (LoRaWAN) technology allows for long-range, low-power communication between sensors and the IoT gateway that delivers the data to and from the management platform. This approach eliminates the need for complex wiring or extensive new network infrastructure, significantly reducing setup costs and operational overhead.

Second, the sensor array must be comprehensive. Monitoring temperature and humidity is a baseline requirement, but true protection involves detecting a broader range of anomalies. Effective systems incorporate water leak detectors to protect liquid cooling systems and prevent moisture damage. They also utilize vibration sensors to identify mechanical failures in fans or servers before they cease functioning. Air quality and dust sensors are equally vital for maintaining the integrity of cooling systems over the long term.

Third, physical security must be integrated into the environmental monitoring platform. Automated access control sensors and motion detectors allow for the tracking of authorized personnel while immediately alerting operators to unauthorized entries.

From Data Collection to Actionable Intelligence

The value of an IoT solution lies in its ability to transform raw data into immediate action. A centralized dashboard should provide a clear overview of all conditions across the infrastructure. Rather than overwhelming users with information, alerts should be categorized by severity to allow for the quick resolution of the most critical issues.

Customizable thresholds enable users to define the exact parameters for their specific hardware requirements. When these limits are exceeded, the system should trigger instant notifications, allowing for an incident response that prevents impact on operations. Furthermore, maintaining detailed logs of all events is essential for troubleshooting and ensuring compliance with industry regulations.

Ultimately, the goal of modern data center management is to create a system that is as scalable as the data it processes. As organizations expand their footprint, they should be able to integrate additional sensors and facilities seamlessly into their existing monitoring architecture. This intelligent, proactive approach is the future of maintaining reliable and efficient digital infrastructure.

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About the Author

Bjørn Bæra is RAD’s IoT solution manager. In his networking and Industrial IoT career, he served as a product manager for Nvidia’s Spectrum silicon and prior to that as a solution engineer at Cisco, specializing in internet, switching, routing, and management.

The post The Evolution of Remote Data Center Management: Insights from a Modern Municipality appeared first on Data Center POST.

Data Center POST had the opportunity to connect with Clearfield’s Chief Commercial Officer, Anis Khemakhem, who is deeply passionate about technology, particularly in advancing fiber optics and telecommunications solutions. Throughout his career, he has consistently focused on leveraging cutting-edge technology to improve connectivity and enhance digital access across various sectors. His executive experience, including leadership positions at Clearfield, Amphenol and Carlisle Interconnect Technologies, demonstrates his executive engagement capabilities and capacity to handle complex, multi-stakeholder projects.

The information below is summarized to provide our readers a deeper dive into who Clearfield is, what they do and the problems they are solving in the industry.

What does Clearfield do?  

Clearfield designs and manufactures fiber connectivity solutions that simplify how operators build and scale modern networks. We focus on critical connection points across broadband, data center, edge, and wireless environments.

Since our inception, we’ve helped community broadband providers close the digital divide. Today, we also apply that modular, craft-friendly approach to wireless networks as well as data centers and distributed edge facilities that support AI-driven workloads. Our goal is to help operators deploy high-performance fiber faster, with less complexity and lower long-term operational costs.

What problems does Clearfield solve in the market?

Network operators are facing rising fiber density, limited space and labor constraints – not to mention pressure to scale quickly without disrupting live infrastructure. Clearfield addresses these challenges by simplifying fiber deployment and ongoing management.

Our solutions reduce installation time, streamline maintenance, and enable incremental growth. Whether supporting broadband expansion or high-density data center environments, we help customers reduce operational friction and future-proof their networks as data volumes and performance demands accelerate.

What are Clearfield’s core products or services?

Our core offerings include fiber management, protection, and delivery solutions, such as patch panels, cassettes, passive and edge cabinets, racks, enclosures, and fiber assemblies. A key recent introduction is our NOVA Platform, a modular, high-density fiber ecosystem designed for data centers, modern central offices, and edge environments.

The NOVA Platform features tool-less installation, front-of-rack access, and consistent documentation to simplify scaling. Across our portfolio, we focus on labor lite design and operational consistency to help customers deploy and manage fiber efficiently. NOVA is no exception.

What markets do you serve?

Clearfield serves community broadband providers, regional and national ISPs, incumbent telcos, utilities, municipalities, cooperatives, and enterprise networks. We also support hyperscale and colocation data centers, enterprise campuses, government and military networks, and distributed edge environments.

Increasingly, our solutions are used where fiber connects data centers to AI workloads and local compute resources at the edge. High-bandwidth, low-latency fiber is the only way society will be able to support data-intensive emerging technologies — from autonomous vehicles to precision agriculture. In rural broadband builds and high-density data halls alike, we serve operators that need scalable, reliable fiber infrastructure across diverse environments.

What challenges does the global digital infrastructure industry face today?

The industry is navigating explosive data growth driven by AI, cloud computing, and increasingly distributed architectures. Networks are extending beyond centralized data centers toward edge environments closer to users and applications. So, fiber counts, space, and power requirements are growing while skilled labor remains limited.

Operators must scale capacity quickly without sacrificing reliability or affordability. The challenge is not only bandwidth, but also density, manageability, and the ability to evolve without constant redesign.

How is Clearfield adapting to these challenges?

Clearfield is addressing these challenges by designing platforms that reduce complexity at every stage of deployment. The NOVA Platform exemplifies this approach, offering high-density, modular solutions with tool-less installation and all work performed at the front of the rack.

Across our portfolio, we emphasize consistent installation methods, clean documentation, and incremental scalability. This reduces training requirements, limits downtime, and allows operators to grow capacity without disrupting active networks — whether in a rural head end or a data center supporting AI workloads.

What are Clearfield’s key differentiators?

Our primary differentiator is how intentionally we design for the realities of the field. Clearfield solutions are modular, craft-friendly, and built to minimize labor and operational complexity.

Rather than isolated products, we deliver platform-based ecosystems that scale consistently across environments. This helps customers simplify inventory, standardize training, and deploy fiber with confidence. Our roots in community broadband give us a unique perspective that translates well to today’s data center and edge applications, where efficiency and scalability are critical.

What can we expect to see/hear from Clearfield in the future?  

You can expect Clearfield to continue expanding its footprint in data centers and edge computing while remaining committed to community broadband. We’ll introduce additional high-density, modular solutions that support AI-driven architectures and growing fiber demands. But our focus will remain on platforms that bridge environments.

We want to empower operators to apply a consistent, efficient approach as networks become more distributed. Ultimately, we aim to help customers scale faster, manage complexity more easily, and build infrastructure that supports both current and future workloads.

What upcoming industry events will you be attending? 

Clearfield launched the NOVA Platform at BICSI Winter 2026, where attendees were able to see live demonstrations of our high-density patch panels and cassettes and explore the broader ecosystem. That won’t be the last chance to see NOVA. We will participate in many major industry events this year, engaging with network operators, designers, and partners to share best practices and demonstrate how our solutions simplify fiber deployment.

Do you have any recent news you would like us to highlight?

Clearfield recently launched the NOVA Platform, a modular, high-density fiber ecosystem designed for data centers, enterprise networks, and edge environments. NOVA delivers tool-less installation, higher port density, and improved documentation. This innovative solution suite addresses the growing demands of AI-driven and 100G-plus networks. The platform includes patch panels, cassettes, cabinets, racks, and fiber assemblies that scale consistently across environments and are already generating strong interest across multiple markets.

Is there anything else you would like our readers to know about Clearfield and capabilities?

Clearfield sits at the intersection of broadband and data center infrastructure at a time when AI is reshaping network design. Fiber is the common foundation, but operational simplicity is becoming just as important as speed. Our experience helping operators deploy efficient, scalable networks translates directly to today’s high-density and edge environments. Whether connecting communities or powering AI workloads closer to users, Clearfield delivers fiber infrastructure designed to scale cleanly and perform reliably.

Where can our readers learn more about Clearfield?  

Visit us online at www.seeclearfield.com and follow us on social media.

How can our readers contact Clearfield? 

The contact page on our website has multiple ways to get in touch with our team to learn more about the NOVA Platform and our other solutions.

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About Data Center POST

Data Center POST provides a comprehensive view of the digital infrastructure landscape, delivering industry insights into the global data center ecosystem. As the industry’s only peer-contributed and online publication, we offer relevant information from developers, managers, providers, investors, and trendsetters worldwide.

Data Center POST works hard to get the most current information and thought-provoking ideas most apt to add relevance to the success of the data center industry. Stay informed, visit www.datacenterpost.com.

If you are interested in contributing to Data Center POST, contact us at [email protected] or submit your article here.

Want more digital infrastructure news? Stay in the know and subscribe to Data Center POST today!

The post Company Profile: Clearfield on Simplifying Fiber for AI-Ready Networks appeared first on Data Center POST.

Author: Paulo Campos, President, R&M USA Inc.

U.S. data centers are moving quickly from 100G/200G to 400G and 800G, while preparing for 1.6T. The main driver is AI: training and inference fabrics generate huge east-west (server-to-server) traffic, and any network bottleneck leaves expensive GPUs/accelerators underutilized. Cisco notes that modern AI workloads are “data-intensive” and generate “massive east-west traffic within data centers”.

This step-change is now viable because switching and NIC silicon can deliver much higher bandwidth density. Broadcom’s Tomahawk 5-class devices, for example, support up to 128×400GbE or 64×800GbE in a single chip, enabling higher-radix leaf/spine designs with fewer boxes and links. Optics are improving cost- and power-efficiency as well; a Cisco Live optics session highlights a representative comparison of one 400G module at ~12W versus four 100G modules at ~17W for the same aggregate bandwidth.

In parallel, multi-site “metro cloud” growth is increasing demand for faster data center interconnect (DCI). Coherent pluggables and emerging standards such as OIF 800ZR are making routed IP-over-DWDM architectures more practical for metro DCI.

What this changes

As data centers move to 400G/800G+, the physical layer shifts toward higher-density fiber with tighter loss budgets and stricter operational discipline:

• Parallel optics increase multi-fiber connectivity. Many short-reach 400G links (e.g., 400GBASE-DR4) use four parallel single-mode fiber pairs with 100G PAM4 per lane, which increases the use of MPO/MTP trunking, polarity management and breakout harnesses/cassettes over simple duplex patching. VSFF connectors (for example MMC/SN-MT) are currently becoming an alternative to familiar MTP/MPO connectivity.
• PAM4 is less forgiving. Operators typically specify lower-loss components, reduce mated pairs, and enforce more rigorous inspection and cleaning to protect link margin.
• Single-mode (OS2) expands inside the building. New builds often standardise on OS2 for spine/leaf and any run beyond in-row distances, while copper is largely confined to very short in-rack DACs (with AOCs/AECs or fiber used as lengths increase).
• DCI emphasizes single-mode duplex LC with coherent optics/DWDM, where fiber quality and minimal patching become critical.

The pre-con solution

Pre-connectorized (pre-terminated) cabling systems – including hardened variants – fit current U.S. requirements for speed, performance and repeatability:

• Faster deployment and predictable performance: factory-terminated “plug-and-play” trunks and panels reduce on-site termination, minimize installer variability, and help teams hit tight loss budgets at 400G/800G and beyond.
• Higher density and simpler change control: preterm MPO/MTP trunks with modular panels/cassettes pack more fibers into less space and make adds/changes faster with less disruption.
• Alignment to standards and repeatable architectures: ANSI/TIA-942 defines minimum requirements for data-center infrastructure, while ANSI/BICSI 002-2024 provides widely used best-practice guidance for data-center design and implementation – both encouraging well-defined pathways and modular, repeatable approaches.
• Resilience for harsh pathways: between buildings, in ducts, and at the edge (modular/outdoor DCs), hardened features such as robust pulling grips and improved protection against water/dirt can reduce rework during construction.

As U.S. data centers push into 400G/800G and prepare for 1.6T, pre-connectorized fiber helps deliver deployment speed, high-density layouts, and repeatable, testable performance – often with less reliance on scarce specialist termination labor.

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References

1. Cisco. “AI Networking in Data Centers.” Cisco website. (Accessed Jan 2026).
2. Cisco Live 2025. “400G, 800G, and Terabit Pluggable Optics” (BRKOPT-2699).
3. OIF. “Implementation Agreement for 800ZR Coherent Interfaces (OIF-800ZR-01.0).” Oct 8, 2024.
4. Semiconductor Today. “OIF releases 800ZR coherent interface implementation agreement.” Nov 1, 2024.
5. Ciena. “Standards Update: 200GbE, 400GbE and Beyond.” Jan 29, 2018.
6. TIA. “ANSI/TIA-942 Standard.” TIA Online.
7. BICSI. “ANSI/BICSI 002-2024: The Standard for Data Center Design.” BICSI website.

The post Pre-Connectorized Fiber for 400G/800G and Beyond: Implications for U.S. DCs appeared first on Data Center POST.

Direct-source cooling moves from niche to necessity as AI-era thermal limits collide with traditional airflow design

For decades, server and IT device cooling has followed a predictable playbook: move enough air, manage hot and cold aisles, and rely on increasingly sophisticated fans and facility-level HVAC to keep silicon within tolerance. That model is now approaching its limits.

The rise of AI workloads–characterized by dense computing, high-bandwidth memory, and sustained 24/7 utilization–is forcing a rethink of how heat is removed from systems. The industry is shifting from generalized airflow toward direct-source cooling: targeted, device-level technologies designed to eliminate localized hot spots before they degrade performance or reliability.

2026 will mark a notable turning point as OEM roadmaps, AI-driven performance expectations, and the physical limits of traditional fans converge, making new thermal approaches not optional but inevitable. It will be a pivotal year for system design evolution, with a growing number of manufacturers aligning their roadmaps around architectures that must deliver very high compute horsepower and memory bandwidth to support AI workloads.

As a result, advanced thermal management is emerging as a critical enabler of performance, reliability, and product differentiation across the IT sector.

The Problem: AI Is Breaking the Thermal Envelope

AI-era servers and PCs don’t just run hotter — they also run continuously. Unlike bursty enterprise workloads of the past, AI inference and training systems push CPUs, GPUs, and memory at sustained utilization levels. Heat becomes the dominant constraint.

In practice, this manifests as thermal orphans: localized pockets of trapped heat inside a server or rack that traditional airflow simply can’t reach. When those pockets overheat, the system responds the only way it can: by throttling performance. For data center operators, throttling is not a thermal issue; it’s a business problem. It means paid-for silicon isn’t delivering paid-for performance.

From Airflow to Direct-Source Cooling

The industry needs to supplement, not replace, existing cooling with direct-source airflow applied exactly where heat accumulates. Ventiva’s approach is to add compact ionic modules near problem components, creating just enough directed airflow to clear thermal orphans without redesigning the whole chassis.

Rather than spinning fans faster or redesigning entire racks, system designers can use solid-state, ionic cooling-based solutions that sit close to heat-generating components. These solutions each create airflow by charging ions and using their motion to pull air through a targeted zone.

The result is modest but decisive: 2 to 3 cubic feet per minute (CFM) of airflow, precisely applied, is enough to push trapped hot air out of isolated pockets and back into the main airflow path. That small amount of airflow can be the difference between sustained full performance and permanent throttling.

How Ionic Cooling Works and Why It Matters

With ionic cooling technology, a current is passed through an emitter that ionizes molecules in the surrounding air. Those ions are attracted to an oppositely charged collector, and their movement creates airflow — without any mechanical parts. This has implications enterprises should care about:

• No moving parts means fewer mechanical failures and longer operational life.
• Dust-aware sensing allows the system to detect contamination and trigger automated cleaning, addressing a common failure mode in fans.
• Consistent airflow over time prevents the gradual thermal degradation that shortens component lifespan.

Heat is the fastest way to degrade electronics. By keeping memory and processors within optimal temperature ranges, direct-source cooling doesn’t just improve performance — it improves system longevity.

Performance First, Not Just Efficiency

While energy efficiency is often part of cooling conversations, performance stability is also a key concern. In AI-heavy environments, the worst outcome isn’t higher power draw; it’s unpredictable performance. There are a lot of issues around how high you can go with performance and still deal with the thermal envelopes, such that your system is reliable and can run as required.

By ensuring thermal stability, direct-source cooling allows systems to run at full bore, 24/7, without throttling. For enterprises, this reframes the ROI discussion. Cooling is no longer a facilities cost to be minimized; it’s a performance enabler that protects compute investment.

Fans Are Hitting Their Design Limits

Traditional fan technology is mature, and that’s part of the problem. Incremental gains are getting harder, while fan-based designs face inherent trade-offs. These are: a) higher RPM increases noise and power consumption; b) mechanical wear limits reliability; and c) airflow paths struggle to reach dense, obstructed layouts.

Cold plate and liquid cooling approaches address some of these challenges but add complexity, cost, and service requirements. Ionic cooling occupies a different niche: solid-state, targeted, and augmentative.

Ionic cooling technology isn’t a replacement for fans or liquid cooling. Instead, it fills the gap where traditional methods fail. These include hot spots, edge deployments, and compact systems.

Edge and Client Devices: The Steeper Hill

Ironically, qualifying new cooling technology for laptops and edge devices is more difficult than for data centers. Constrained spaces, lack of physical supervision, dust exposure, and high reliability expectations make these environments unforgiving.

Because there is so much more room in a data center, there’s much more volume of air moving, so you’re not necessarily going to contaminate your data center with, say, pet dander, fibers, or other kinds of dust that you would with a mobile (PC) unit. Edge devices also fall into this category.

Ionic cooling technology has proven particularly well-suited here. Edge devices often run unattended, making mechanical reliability critical. Mini-data center form factors, such as compact AI systems, combine high compute density with limited airflow. Client devices are becoming AI-aware, running inference locally and behaving more like servers than PCs.

As edge systems increasingly process AI workloads on-device, rather than in centralized clouds, they inherit data center-class thermal challenges without data center-class infrastructure.

2026: Why the Timing Matters

2026 is when multiple forces will align. Here’s the evidence:

• OEM “AI-ready” commitments. Major OEMs are locking product release schedules around AI capability. That means more memory, more compute, and higher sustained power.
• Thermal headroom is gone. Existing designs have little margin left. Incremental fan improvements won’t close the gap.
• Market realism. Data center managers are no longer asking if AI workloads will strain cooling but how to prevent performance collapse when they do.

CTO Choices: What to Evaluate Now

For IT and infrastructure buyers planning 2026 and beyond, the cooling decision tree is changing. Key questions include the following:

• Where do performance bottlenecks originate — facility-level airflow or device-level hot spots?
• Is throttling already occurring under sustained AI load?
• Do edge or compact systems lack serviceability or supervision?
• Can targeted airflow extend system life without redesigning the entire rack?

Direct-source ionic cooling technologies such as Ventiva’s don’t replace existing infrastructure, but they can delay costly redesigns, protect performance, and extend hardware ROI.

The Bigger Shift

The transition from fan-centric cooling to hybrid, direct-source approaches mirrors earlier infrastructure shifts. Just as AI forced a rethink of networking, storage, and compute architectures, it is now reshaping thermal design. In that sense, cooling is no longer a background concern. It is becoming a first-class architectural decision–one that will increasingly differentiate AI-ready systems from those that merely claim to be.

2026 is now here, and enterprises that treat cooling as a strategic lever and not an afterthought will be better positioned to extract real value from their AI investments.

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About the Author

Dr. Brian Cumpston is Director of Application Engineering at Ventiva, where he leads the integration of advanced thermal management technologies into consumer electronics and computing platforms. With 25+ years of experience spanning multiple industries, he specializes in the commercialization of disruptive technologies that redefine performance and efficiency standards.

Brian brings a deep background in system architecture and a nuanced understanding of power and performance tradeoffs. He partners with OEMs to solve complex design challenges across acoustics, form factor, and energy efficiency, helping to unlock new possibilities for AI-enabled devices and next-generation platforms.

Brian holds a B.S. in Chemical Engineering from the University of Arizona and a Ph.D. in Chemical Engineering from the Massachusetts Institute of Technology.

The post Why 2026 Will Be a Turning Point for Server Cooling – and What Enterprises Should Know About It appeared first on Data Center POST.

Data Center POST had the opportunity to connect with Christina Mertens, who joined VIRTUS as VP Business Development EMEA in June of 2022. With her she brings over ten years’ experience in developing strategies for, and expanding, existing and new hyperscale infrastructure geographies across EMEA.

For the past decade, she has worked for Amazon in EMEA, where she expanded the existing AWS data centre regions in colocation and self-built facilities, as well as launched new region geographies as the country manager. In her previous role as Data Center Divestiture Principal at Amazon Web Services in EMEA, Christina worked alongside large strategic hyperscale cloud customers, advising them on their infrastructure assets and developing new models to facilitate and enhance their cloud migration journey. She is the Managing Director of Germany and Italy, responsible for overseeing all aspects of the business, including expansions, sales, data centre design, construction and operations.

The information below is summarized to provide our readers a deeper dive into who VIRTUS is, what they do and the problems they are solving in the industry.

What does VIRTUS do?  

VIRTUS is a European data centre provider and the largest in the UK. With over 10 years of experience, whichever sector a business operates in, VIRTUS tailors solutions to specific customer requirements.

What problems does VIRTUS solve in the market?

Businesses have unique workloads, project durations and changing requirements. VIRTUS’ solutions are designed to provide the digital infrastructure which supports these needs. Built to a vast scale, all of our data centres are designed modularly, allowing full flexibility for data centre customers’ requirements. Our facilities operate using 100% renewable energy and are amongst the most efficient facilities in the world.

What are VIRTUS’ core products or services?

We build AI-ready, built to suit and colocation data centres.

VIRTUS’ AI Ready Data Centres are designed to support the high performance computing (HPC) demands of artificial intelligence workloads. Our facilities provide the optimum environment for HPC deployments of any size, including the next generation of AI IT infrastructure and Machine Learning (ML) workloads, which require next generation cooling deployment and increased power per rack.

Our built to suit data centres are those designed specially for the customer. We know that organisations of all sizes need real flexibility, which is why we work with our customers to create bespoke solutions. For example, some require cutting-edge AI solutions which may require space to scale at speed, others might have a hyperscale cloud deployment that needs custom built data halls.

Our colocation service is designed to provide maximum flexibility with individual IT power and space requirements. The modular facilities are designed to scale up with customer growth. This combined with truly flexible commercials allows customers to grow in a cost efficient and unrestrictive environment.

What markets do you serve?

VIRTUS’ European data centres are strategically located in key markets; currently this is London (UK), Berlin (Germany) and Milan (Italy). As part of ST Telemedia Global Data Centres’ (STT GDC) global platform, we have a presence in ten geographies, more than 101 data centres and over 2GW of IT load across 20+ major business markets.

Our vast experience comes from working with many industry sectors – from financial institutions which require ultra-low latency, to thriving tech start ups which rely on contiguous space to grow, and providing entire buildings or campuses for the world’s largest hyperscalers.

What challenges does the global digital infrastructure industry face today?

Many current European data centres simply cannot meet the short- and long-term demands for critical digital infrastructure, often due to a shortage of infrastructure that can support high HPC workloads. It is a fundamental challenge to find land with access to renewable power to build new facilities, quickly and at scale.

For years, development revolved around a handful of key metropolitan hubs. Frankfurt, London, Amsterdam and Paris (collectively known as the FLAP locations) carried much of the continent’s cloud, enterprise and interconnection load, due to their proximity to financial services, global carriers and concentrated digital ecosystems.

Undoubtedly, whilst those hubs continue to grow, their conditions have changed. Power supply is being delayed due to parts of the electricity distribution network not being capable of transporting it, suitable land parcels are becoming scarcer and therefore more expensive to secure, and planning regulations are increasing, lengthening timelines to approvals, if they are granted at all.

Meanwhile, demand for computing power is surging in ways that surpass forecasts made even two years ago. AI training and inference, HPC, analytics and modernised public services all require significant and sustained energy and cooling capacity.

McKinsey suggests that global demand for data centre capacity could more than triple by 2030. It is clear that Europe needs more digital infrastructure, but it needs that infrastructure in places with the headroom and regulatory clarity to support long term expansion. And this is partly why what is sometimes known as the second-tier locations are becoming increasingly more critical to expanding Europe’s digital architecture.

Over the next five years, this is not a marginal shift. Analysts expect Europe’s installed data centre capacity to more than double, from roughly 24 GW in 2025 to around 55 GW by 2030, with secondary markets growing fastest. And, while recent CBRE analysis indicates that in 2025, around 57% of new capacity will still be delivered in the core FLAP-D markets, the remaining 43% will come from secondary locations such as Milan, Madrid and Berlin, many of which are now on track to exceed 100 MW of installed capacity in their own right. This is the context in which tier two locations are moving from “nice to have” to essential if Europe is to keep pace with global demand.

How is VIRTUS adapting to these challenges?

Our strategy is to build new facilities at scale, located close to, but not necessarily in major European metropolitan cities, and supplied with renewable energy.

We are currently building a €3bn 300MW data centre campus development at Wustermark, west of Berlin. Wustermark offers what many central locations cannot – land large enough for a multi-building campus, access to sustainable electricity, proximity to rail and motorway networks, and alignment with Germany’s policy focus on digital capacity. The site is also positioned to benefit from Germany’s wider energy and grid modernisation programmes, including access to renewable energy to power the campus as it is adjacent to Germany’s largest on-shore windfarms capable via a substation and direct coupling, of fulfilling the energy requirements of the facility.

This move towards larger campuses is a calculated strategy that acknowledges the non-linear cost relationship inherent in these types of operations; larger megascale campuses capable of 200-500MWs can often afford providers – and therefore customers – greater efficiencies.

We are also constructing another facility in Italy. Located in Cornaredo, within the Milan West data centre cluster the site will provide ample capacity to support hyperscalers, enterprises and service providers as digital infrastructure demands in Europe continue to grow.

What are VIRTUS’s key differentiators?

What sets VIRTUS apart from our competitors can be found in many aspects of the design, build and operations of our facilities. However, the quality of operations – the Operational Excellence – is where we truly excel. The way we have implemented design innovations makes a difference to the service we provide in terms of efficiency and resilience. It’s how we design, build, test, maintain, change and operate our facilities that differentiates us – ensuring robust and reliable availability is delivered.

What can we expect to see/hear from VIRTUS in the future?  

It’s an exciting time for VIRTUS Europe, but to meet customer demand we’re still increasing our presence as the leader in the UK market, opening two new London data centres in 2026 (LONDON12 and LONDON14) and in the near future a large four data centre campus at Saunderton, whilst continuing our European expansion.

What upcoming industry events will you be attending? 

The VIRTUS team is attending the following events: Platform UK where Adam Eaton will be speaking on a keynote panel, Energy Storage Summit where Helen Kinsman will be speaking on a panel, Compute Summit where Ramzi Charif will be speaking on a panel, and finally Datacloud Energy where Helen Kinsman will be speaking on another panel.

Do you have any recent news you would like us to highlight?

Earlier in 2026 we announced VIRTUS’ new CEO, Adam Eaton. Under his leadership, we will continue to expand our portfolio of high-efficiency, sustainable data centres, building on more than a decade of rapid growth across the UK and Europe. VIRTUS remains committed to its vision to deliver world-class, energy-efficient infrastructure that supports the growth of the digital economy.

Where can our readers learn more about VIRTUS?  

You can learn more about us on our website, www.virtusdatacentres.com.

How can our readers contact VIRTUS? 

You can contact us through the form on our website, www.virtusdatacentres.com/contact-us.

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About Data Center POST

Data Center POST provides a comprehensive view of the digital infrastructure landscape, delivering industry insights into the global data center ecosystem. As the industry’s only peer-contributed and online publication, we offer relevant information from developers, managers, providers, investors, and trendsetters worldwide.

Data Center POST works hard to get the most current information and thought-provoking ideas most apt to add relevance to the success of the data center industry. Stay informed, visit www.datacenterpost.com.

If you are interested in contributing to Data Center POST, contact us at [email protected] or submit your article here.

Want more digital infrastructure news? Stay in the know and subscribe to Data Center POST today!

The post Company Profile: VIRTUS on Redefining Data Centre Growth in Europe appeared first on Data Center POST.

The global data center liquid cooling market was valued at USD 4.8 billion in 2025 and is estimated to grow at a CAGR of 18.2% to reach USD 27.1 billion by 2035, according to a recent report by Global Market Insights Inc.

Rising energy costs, coupled with stringent sustainability requirements, are accelerating the adoption of liquid cooling technologies across data centers. Liquid cooling systems offer significantly lower Power Usage Effectiveness (PUE) ratios ranging from 1.05 to 1.15 compared to 1.4-1.8 for traditional air-cooled facilities, which directly lowers electricity consumption and reduces carbon emissions. Regulatory mandates, including the EU Energy Efficiency Directive, Germany’s Energy Efficiency Act targeting PUE 1.3 by 2027, and California’s energy efficiency standards, are pushing operators toward advanced cooling solutions.

Furthermore, the ability of liquid cooling systems to recover waste heat for district heating or industrial processes transforms data centers into contributors to circular energy economies, supporting corporate net-zero initiatives and enhancing operational sustainability. North America continues to lead the data center liquid cooling market, driven by a dense concentration of hyperscale cloud operators, semiconductor manufacturers, and systems integrators deploying high-density AI and HPC infrastructure.

The solution segment held a 71% share in 2025 and is forecast to grow at a CAGR of 15% from 2026 to 2035. Direct-to-chip cooling is the fastest-growing technology, employing cold plates and micro-channel coolers attached directly to processors, GPUs, and memory to remove 60-80% of heat before it enters the air. These systems circulate coolants such as water with inhibitors or glycol mixtures across chip surfaces, achieving thermal resistances as low as 0.01-0.05°C/W.

The single-phase liquid cooling systems segment reached USD 3.1 billion in 2025. These systems maintain coolant in liquid form throughout the cycle, transferring heat via conduction and convection without phase change. Coolants circulate through cold plates, immersion tanks, or heat exchangers at 18-50°C, depending on design, while facility chillers, dry coolers, or towers remove heat from the loop.

U.S. data center liquid cooling market captured USD 1.29 billion in 2025. Federal initiatives, including AI and HPC programs, semiconductor funding under the CHIPS Act, and defense modernization projects incorporating AI, are key drivers of liquid cooling adoption in public sector data centers.

Leading companies in the data center liquid cooling market include Alfa Laval, Asetek, Boyd, CoolIT Systems, Green Revolution Cooling, LiquidStack, Rittal, Schneider Electric (Motivair), Stulz, and Vertiv. Key strategies adopted by companies in the market focus on technological innovation, such as developing high-efficiency immersion and direct-to-chip cooling solutions for next-generation processors and GPUs. Firms are forming strategic partnerships with hyperscale cloud providers, semiconductor manufacturers, and HPC integrators to expand deployment. Investments in R&D for energy-efficient, modular, and scalable systems strengthen product differentiation. Companies are also emphasizing geographic expansion into emerging markets, supporting sustainability initiatives, and integrating IoT-enabled monitoring tools to optimize performance, enhance reliability, and maintain long-term client relationships.

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Duos Technologies Group, Inc. (Nasdaq: DUOT), a leader in intelligent technologies and digital infrastructure, has announced that it achieved its stated revenue guidance for the fiscal year ending December 31, 2025. The company recorded revenue of $28 million, an estimated 288% increase over the prior year and almost double its previous best year. Duos also expects to achieve positive adjusted EBITDA in the fourth quarter of FY25 which would be the second consecutive quarter this was accomplished.

Building on strong momentum throughout 2025, Duos has expanded its offerings to include Data Center Infrastructure Solutions, enhancing its core data center vertical while supporting the accelerating deployment cadence of Duos Edge AI’s patented modular Edge Data Centers. Duos has rolled out 12 of the EDCs to leased site locations across Texas with an additional two EDCs shipping in the coming week and the final one planned for the Illinois location will be deployed as soon as weather permits.

“I am very pleased that we were able to deliver on our commitment of at least $28 million revenue for 2025 and that we expect to achieve positive adjusted EBITDA in the fourth quarter,” said Doug Recker, President of Duos and Founder of Duos Edge AI. “We continue to roll out our EDCs, now with the patented clean room and can also acknowledge that we are engaged in multiple discussions with industry leaders regarding planned expansion of our EDCs for use in AI applications. I will provide further updates as they are available and in any case, no later than our earnings call in late March.”

Complementing this growth, Duos recently launched its Infrastructure Solutions Group, a dedicated subdivision within Duos Edge AI. In its initial quarter of operation, the Infrastructure Solutions Group signed approximately $7 million in contracts during Q4, demonstrating early traction and validating the strategic value of this expansion.

Final results remain subject to audit. The company expects to report comprehensive fourth quarter and full year 2025 results at the end of March.

To learn more about Duos Technologies Group, Inc., visit www.duostech.com.

The post Duos Technologies Achieves $28 Million Revenue for 2025 appeared first on Data Center POST.

Empire Fiber Internet, a leading fiber optic internet service provider serving communities across New York and Pennsylvania, has been named the presenting sponsor for the 2026 Finger Lakes Film Festival in downtown Geneva, NY. The festival is hosted at the historic Smith Center for the Arts and continues to gain momentum as a regional hub for independent film.

Empire Fiber Internet has served the Geneva area since 2023 and is The Smith’s internet provider. The company has also supported local arts programming, including classic productions like Charles Dickens’ A Christmas Carol, while its 100% fiber service now reaches thousands of residents and businesses across the Finger Lakes.

“The Finger Lakes Film Festival is a rapidly growing event, both in scope and in profile,” said Tim Banach, Deputy Director of the Rochester/Finger Lakes Film Commission and Festival Organizer. “The hundreds of submissions we received for our 2026 festival represent over a third of the total submissions the festival has received since its inception in 2022. We are thrilled to welcome Empire Fiber Internet, a company whose strong reputation and growth mirror our own, as the presenting sponsor of the 2026 Finger Lakes Film Festival. We look forward to working with Empire in the years to come, as our festival continues to expand as a premier cultural event in New York’s world-renowned Finger Lakes region”.​

The 2026 festival will be held on February 28 in downtown Geneva, with short films from around the world screening throughout the day and evening. Programming begins at 10:30 AM at The Dove Block Project on Exchange Street, then moves to The Smith Center for the Arts on Seneca Street for nighttime screenings.

“We’re very excited to support the Finger Lakes Film Festival,” said Kevin Dickens, Empire Fiber Internet CEO. “Our mission is all about connecting communities, not just online, but to the experiences they love, including arts and film. We are proud of our relationship with the Smith Center for the Arts, and look forward to growing this partnership and supporting the festival’s continued success”.

To learn more about Empire Fiber Internet, visit www.empireaccess.com.

The post Empire Fiber Internet Supports Growing Finger Lakes Film Festival appeared first on Data Center POST.

Data Center POST had the opportunity to connect with Jean-François Berche, the Chief Technology Officer at GreenScale, who is guiding the company’s technological vision towards infrastructure that is scalable, efficient, and above all, sustainable. He focuses on developing data centres capable of supporting the complex needs of AI-driven workloads, while ensuring GreenScale leads in technology integration within the energy ecosystem.

Jean-François previously held senior roles at Microsoft and AWS, where he was instrumental in expanding the cloud infrastructure to meet the growing demands of AI. His extensive work in site selection, colocation, and cloud region expansion at Microsoft and AWS positions him to drive GreenScale’s technological capabilities to the pinnacle of what is possible.

His passion for sustainability in technology is well-aligned with GreenScale’s mission. Outside of work, Jean-François remains committed to exploring how technology can positively impact society through sustainable and innovative practices. The interview information below has been summarized to provide readers with clarity into who GreenScale is, what they do and the problems they are solving in the industry.

What does GreenScale do?  

GreenScale is a sustainable data centre platform redefining the future of sustainable digital infrastructure across Europe’s expanding data centre markets.

What problems does GreenScale solve in the market?

As demand for high-performance AI and cloud workloads accelerates, power availability, grid constraints, and environmental impact have become critical bottlenecks. At GreenScale, we are developing a sustainable data centre platform that positively contributes to the grid, local communities, and the wider energy ecosystem. We provide access to long-term power scalability, combined with deep local relationships with grid utilities and local communities, to enable customers to grow compute capacity quickly, efficiently, and responsibly.

What are GreenScale’s core products or services?

Digital infrastructure

What markets do you serve?

We’re developing data centres in Europe, with plans for international expansion.

What challenges does the global digital infrastructure industry face today?

The global digital infrastructure industry faces the challenge of scaling AI and cloud capacity amid constrained power availability, grid limitations, and growing environmental concerns.

How is GreenScale adapting to these challenges?

Sustainability at GreenScale starts with site selection. By focusing on new power-rich regions such as Norway, where hydropower is abundant, and Derry/Londonderry, where strong wind resources support renewable energy generation, we secure clean, scalable energy from the outset. Working closely with local utilities allows us to contribute positively to the grid while accelerating speed to deployment and enabling responsible, long-term growth for digital infrastructure.

What are GreenScale’s key differentiators?

GreenScale’s key differentiators lie in our ability to deliver at speed while maintaining a strong sustainability focus. We prioritise rapid deployment through strategic partnerships, including our recently announced collaboration with Vertiv, and by building in new power-rich markets that support long-term scalability. Our platform is underpinned by a deep commitment to ESG and led by a team with over 100 years of combined industry experience, enabling us to execute reliably in a rapidly evolving market.

What upcoming industry events will you be attending? 

PTC, NVIDIA GTC, DCAC, Data Centre Expo, Data Centre World London, Datacloud Global Congress and many more!

Do you have any recent news you would like us to highlight?

Vertiv and GreenScale Announce Strategic Collaboration to Deploy AI-Ready Data Centre Platforms across Europe.

Where can our readers learn more about GreenScale?  

Readers can learn more on our company website, www.greenscaledc.com.

How can our readers contact GreenScale? 

You can contact us through our website, www.greenscaledc.com/contact.

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About Data Center POST

Data Center POST provides a comprehensive view of the digital infrastructure landscape, delivering industry insights into the global data center ecosystem. As the industry’s only peer-contributed and online publication, we offer relevant information from developers, managers, providers, investors, and trendsetters worldwide.

Data Center POST works hard to get the most current information and thought-provoking ideas most apt to add relevance to the success of the data center industry. Stay informed, visit www.datacenterpost.com.

If you are interested in contributing to Data Center POST, contact us at [email protected] or submit your article here.

Want more digital infrastructure news? Stay in the know and subscribe to Data Center POST today!

The post Company Profile: GreenScale on Building Sustainable, Power-Rich Digital Infrastructure appeared first on Data Center POST.

TA Realty and its data center development arm, TA Digital Group, have completed the sale of two hyperscale data center buildings totaling 745,000 square feet and 165MW of IT load capacity in Leesburg, Virginia. The facilities mark its first two completed and fully leased buildings within a planned five-building, 450MW hyperscale campus designed for a single hyperscale cloud tenant.

“This sale is a significant milestone for TA Realty and TADG,” commented Allison O’Rourke, Partner at TA Realty. “It reflects our strategy of developing build-to-suit facilities for hyperscale customers in Tier 1 U.S. markets and monetizing assets upon stabilization. Northern Virginia is the premier global data center market, and the completion and sale of these initial buildings demonstrates the strength of our development and execution capabilities.”

Located in the heart of Loudoun County’s “Data Center Alley,” this sale reflects TA Realty’s execution of a build-to-suit hyperscale campus in Northern Virginia, the world’s largest data center market. The Leesburg campus has been purpose-built to meet the increasing demand from hyperscale cloud operators for scalable power and connectivity in a Tier 1 market.

In addition to its core development work, TA Realty’s ability to deliver a project of this scale reflects deep coordination with local utilities and regional infrastructure partners. “Being able to assemble the land to support a development of this scale, which also included partnering with some of the local utilities to add additional infrastructure that will not only support this project but provide for growth in the surrounding area, is also part of our strategy in these Tier 1 markets,” said Tim Shaheen, Partner at TA Realty and Chief Development Officer at TADG. “The scale of this campus enabled the delivery of two independent substations to support grid power, providing a level of redundancy and capacity that is increasingly difficult to achieve in core markets.”

TA Realty has established a scaled data center platform that includes more than 12 projects owned or controlled across its investment vehicles, representing nearly 3GW of power capacity. Based in Ashburn, Virginia, the center of global interconnectivity, TA Digital Group oversees development and construction activity across the platform. Alongside its Northern Virginia portfolio, the company’s data center assets also include strategic developments in Chicago and Atlanta, with plans for continued expansion.

As data-heavy workloads and AI-driven infrastructure continue to shape hyperscale demand, TA Realty’s latest sale highlights the firm’s disciplined approach to value creation: designing, developing, and stabilizing mission-critical campuses that contribute to the strength and scalability of the nation’s digital backbone.

The post TA Realty Announces Sale of Two Hyperscale Data Centers in Northern Virginia appeared first on Data Center POST.

The digital infrastructure industry is accelerating rapidly.  New facilities are being built at record speed, and hyperscale customers continue to push for faster deployment timelines.  According to Uptime Institute’s 2024 Staffing Survey, ‘data centers continue to expand their hiring, with 35% reporting more new hires in 2024 compared to 2023.’

Competition has intensified, with Uptime also reporting that ‘57% of organizations increased salary spending in 2024, while only 6% reduced it.’  This aligns with the reality many operators experience: talented technicians routinely receive multiple offers, often at significantly higher pay.

AFCOM’s 2024 State of the Data Center Report underscores how market expansion fuels staffing instability.  The report states, ‘There are nearly 10,000 colocation and wholesale data center facilities across North America, and this number is expected to rise dramatically in the next three years.’

This growth isn’t limited to footprint.  AFCOM adds: ‘New data center builds are expected to multiply sixfold over the next three years,’ contributing to rising wage pressure and aggressive hiring tactics among competitors.

Synergy Research Group provides additional context, noting: ‘The number of hyperscale data centers surpassed 1,000 in early 2024,’ and ‘total hyperscale capacity has doubled in the past four years and is expected to double again in the next four.’

These massive industry shifts increase the demand for qualified operators and heighten turnover risk.  But retaining talent is not solely about matching salary offers, it requires intentional leadership and a strong, supportive culture.

Technicians value trust, recognition, inclusion, and connection.  These emotional drivers often outweigh financial incentives.  Many organizations underestimate their power.  For example, simple cultural investments; providing lunches, snacks, or occasional team entertainment, can materially improve team morale and connection.  These small enhancements help build a positive and inclusive environment.  I have personally turned down external offers because of the strong sense of belonging and support at my current company.

A critical industry-wide shift is also needed.  As operators, we should work collaboratively to reduce extreme market volatility.  Personnel movement will always be part of business but offering 20–30% above market rates just to secure staffing is not sustainable.  More responsible, proactive hiring practices, such as beginning recruitment earlier during buildout and commissioning phases, can help stabilize wage expectations and normalize staffing patterns across the industry.

In one practical example, an engineer on my team appeared increasingly disengaged.  Through direct conversation, I learned he had received an external offer.  Because our leadership team proactively monitored regional wage trends, we were prepared to offer a competitive adjustment and a clear development path.  This combination of financial acknowledgement and emotional investment resulted in his decision to stay, and he eventually became one of our strongest leaders.

Sustainable retention requires long-term systems: continuous market analysis, consistent leadership visibility, structured development pipelines, and meaningful cultural investment.  These practices signal to employees that they are valued, and that their future is worth building inside the organization.

The data center workforce landscape will continue to evolve.  Retention is no longer a transactional process but a strategic, people-centered leadership responsibility.  Organizations that anticipate change, invest in people, and create environments where employees feel valued will be the ones best positioned to thrive in the years ahead.

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About the Author

Tim Shoemaker is a data center operations leader with extensive experience managing mission-critical environments, operational teams, staffing strategies, and organizational change. He has overseen teams through rapid growth cycles, market wage pressures, and major buildouts across multiple data center facilities.  Tim is passionate about developing strong operational cultures that retain talent and reinforce reliability.

The post Leading Through Change: How Data Center Leaders Can Retain Talent in a Competitive Market appeared first on Data Center POST.

Data Center POST had the opportunity to connect with Carlo Malana, President and CEO of STT GDC Philippines, which is a joint venture among Globe Telecom, Ayala Corporation and ST Telemedia Global Data Centres. The company provides secure, reliable, and sustainable data centers to enable digital transformation for global and local businesses. With more than two decades of diverse leadership experience in the ICT industry, his background includes strategic roles at AT&T and as CIO for Globe. He earned a double degree from the University of California at Berkeley and an MBA from Southern Methodist University.

With over 20 years in Information Communications Technology (ICT) including roles with AT&T, across the United States, Mexico, and the Philippines, he has led both technology and business organizations in such diverse areas as strategy, program management, merger integration, retail, finance, customer operations, and sales.

The interview information below has been summarized to provide readers with clarity into who STT GDC Philippines is, what they do and the problems they are solving in the industry.

What does STT GDC Philippines do?  

ST Telemedia Global Data Centres (STT GDC) Philippines empowers business digital transformation through a service model integrating Colocation, Cross connect, and Support Services. We provide Colocation via scalable, sustainable, and secure infrastructure operated to strict global standards, a commitment recently validated by our flagship 124MW STT Fairview Data Center Campus, achieving the IDCA G2 Design Certification, and our STT Cavite 1 data center earning the Uptime Institute Tier III Design Certification. While our Interconnect & Connectivity solutions provide a carrier-neutral platform optimized for seamless access to hybrid and multi-cloud environments, our Support Services complement this technology as your extended technical team, managing critical facility operations so you can focus exclusively on your core business performance.

What problems does STT GDC Philippines solve in the market?

STT GDC Philippines addresses the critical shortage of high-quality digital infrastructure in Southeast Asia (SEA) by replacing outdated systems with massive, scalable facilities built for the future. We solve the capacity shortfall by delivering hyperscale-ready infrastructure, such as our 124MW STT Fairview campus, designed to meet the rigorous TIA-942 Rated 3 and Uptime Institute Tier III standards for concurrent maintainability. We specifically address the urgent demand for AI and high-performance computing by building AI-ready facilities equipped with high power density and advanced liquid cooling support. Most importantly, we eliminate downtime concerns by providing SLA-backed availability, ensuring your mission-critical business operations remain secure and stable 24/7 with a sustainable environment. Finally, we remove connectivity restrictions through our carrier-neutral ecosystem, providing a resilient platform that offers customers superior network choice and the flexibility to connect with the partners that best serve their requirements.

What are STT GDC Philippines’s core products or services?

Our core services are colocation, cross connect, and support services.

What markets do you serve?

ST Telemedia Global Data Centres (STT GDC) Philippines is a leading carrier-neutral provider dedicated to supporting the high-density requirements of Hyperscalers, AI companies, and large enterprises in the banking, financial services, and telecommunications sectors.

As a joint venture between Globe Telecom, Ayala Corporation, and STT GDC, we enable digital transformation by offering scalable, sustainable, and secure infrastructure designed for mission-critical applications. Our facilities are specifically optimized for high-performance workloads, leveraging strategic partnerships with industry leaders and partners to deploy advanced solutions such as liquid cooling for AI-driven demands.

Our data centers provide a flexible technology foundation with direct access to major global cloud platforms and a diverse ecosystem of connectivity partners. This carrier-neutral approach ensures optimal connectivity for hybrid and multi-cloud environments, while our strict operational excellence and 24/7 on-site technical expertise deliver industry-leading uptime. By integrating these best-in-class partnerships, we allow your organization to rely completely on our reliable infrastructure while you focus on driving your core business growth.

What challenges does the global digital infrastructure industry face today?

The industry is currently facing a massive energy and power crisis, where securing reliable electricity has become significantly harder than finding physical land. Because AI operations consume vast amounts of energy, they place an immense strain on local power grids, making it difficult for operators to find suitable locations while sticking to green energy goals.

Secondly, the rapid adoption of AI has created a thermal management challenge; the extreme heat generated by modern high-performance chips exceeds the limits of traditional air cooling, forcing a pivot toward advanced liquid cooling methods even as universal standards remain undefined.

Finally, geopolitical instability and supply chain disruptions are acting as a major brake on progress. Rising global tensions are complicating where secure networks can be built, while acute shortages of essential equipment, like high-voltage transformers and backup generators, are delaying construction and preventing the infrastructure from keeping pace with global demand.

How is STT GDC Philippines adapting to these challenges?

STT GDC Philippines is adapting by building flexible, high-capacity infrastructure, such as the 124 MW STT Fairview Data Center Campus, that is fully ready for AI and liquid cooling but remains adaptable to changing technology rather than being limited to a single purpose. We are addressing the energy challenge by committing to 100% renewable energy for our operations. To navigate global instability, we maintain a fairly neutral position as a carrier-neutral platform, ensuring resilience and open choices for all networks.

What are STT GDC Philippines’s key differentiators?

Our key differentiators begin with our adherence to global standards, ensuring that every facility in our portfolio operates with the same rigor and reliability found across our international platform. This foundation allows us to provide the most extensive capacity in the region, highlighted by the 124MW STT Fairview Data Center Campus, the largest, most interconnected carrier-neutral, and sustainable data center in the Philippines. Our commitment to international, sustainability-driven design is evident in our LEED Gold and TIA-942 Rated 3 certifications, as well as our “AI-ready” infrastructure that supports liquid cooling to reduce environmental impact.

Beyond physical assets, we prioritize our talent through the DC Power Up program, a milestone initiative that trains and certifies the next generation of data center professionals to ensure a future-ready workforce. Our operational excellence is the heartbeat of our business, utilizing advanced automation and AI-powered cooling to maintain peak efficiency 24/7. Finally, we leverage deep local expertise through our powerful partnership with Globe and Ayala, combining the country’s leading telecommunications reach and corporate heritage to provide customers with a seamless, trustworthy gateway into the Philippine digital economy.

What can we expect to see/hear from STT GDC Philippines in the future?  

STT GDC Philippines is focused on rapidly scaling its delivery capabilities, a goal already in motion as we begin operating with our first customers at STT Fairview 1. This marks a significant milestone for what will be the largest and most AI-ready data center campus in the Philippines, featuring infrastructure specifically engineered for high-density computing and advanced liquid cooling. Our commitment to innovation is further showcased at our AI Synergy Lab, where we demonstrate the future of thermal management and high-efficiency power solutions. To support this growth, we are accelerating partnerships across the ecosystem by  recently onboarding key connectivity partners to ensure our facilities serve as the premier, carrier-neutral gateway for Southeast Asia’s digital future.

What upcoming industry events will you be attending? 

We are excited to represent STT GDC Philippines at two of the most influential technology gatherings in the region and the world this year. This February, our team will be in Jakarta for APRICOT 2026, the Asia Pacific region’s premier internet operations and networking summit. This event is a critical forum for us to collaborate with network engineers and policymakers to strengthen the digital fabric of Southeast Asia. Following this, we will be attending NVIDIA GTC in March in San Jose, California. Often called the “Super Bowl of AI,” GTC is where we engage with the latest breakthroughs in AI infrastructure and high-performance computing, ensuring that our data centers remain at the cutting edge of the global AI revolution.

Do you have any recent news you would like us to highlight?

We are excited to share several major milestones that underscore our rapid growth and commitment to the Philippines’ digital future. Most recently, in October 2025, we announced the onboarding of our first connectivity partners at our flagship STT Fairview Data Center campus. These partnerships are significant for our carrier-neutral ecosystem, providing customers with diverse network choices and the resilience needed for AI-powered growth. Additionally, the 124MW STT Fairview Data Center campus recently achieved the prestigious IDCA G2 Design Certification, recognizing its world-class N+1 design and operational excellence. On the sustainability front, we are proud to have transitioned to 100% renewable energy across all our operational data centers as of early 2025.

Is there anything else you would like our readers to know about STT GDC Philippines and capabilities?

Finally, we want your readers to know that STT GDC Philippines is actively pioneering the future of high-performance computing through our AI Synergy Lab. Launched in collaboration with industry leaders, the lab allows enterprises to run actual AI workloads in a controlled environment, providing a live showroom for high-density computing solutions that are essential for modern digital transformation. By bridging the gap between theoretical AI potential and real-world deployment, the AI Synergy Lab ensures that our partners can optimize their hardware configurations for maximum performance and efficiency. This initiative reinforces our commitment to making the Philippines a premier hub for AI innovation in Southeast Asia, providing the specialized environment required to support the next generation of intelligent computing.

Where can our readers learn more about STT GDC Philippines?  

Readers can learn more on our company website, www.sttelemediagdc.com/ph-en.

How can our readers contact STT GDC Philippines? 

You can contact us through Facebook, Linkedin, or our website.

# # #

About Data Center POST

Data Center POST provides a comprehensive view of the digital infrastructure landscape, delivering industry insights into the global data center ecosystem. As the industry’s only peer-contributed and online publication, we offer relevant information from developers, managers, providers, investors, and trendsetters worldwide.

Data Center POST works hard to get the most current information and thought-provoking ideas most apt to add relevance to the success of the data center industry. Stay informed, visit www.datacenterpost.com.

If you are interested in contributing to Data Center POST, contact us at [email protected] or submit your article here.

Want more digital infrastructure news? Stay in the know and subscribe to Data Center POST today!

The post Company Profile: STT GDC Philippines on Building the Philippines’ Largest AI-Ready Data Center Campus appeared first on Data Center POST.

In the latest episode of NEDAS Live!, host Ilissa Miller welcomes David Bacino, CEO of Symphony Towers Infrastructure, for a candid conversation about the evolution of wireless infrastructure. Drawing on more than three decades in telecom and digital infrastructure, Bacino reflects on a career that has spanned leadership roles with wireless carriers, equipment manufacturers, and infrastructure ownership platforms. He notes that what keeps him energized is the ever‑changing, never‑boring nature of the industry and the fact that people now depend on wireless connectivity every day, whether for voice, data, or rich content.

Episode 64 highlights Bacino’s recent appointment as CEO of Symphony Towers in 2025 following Palistar’s integration of CTI’s towers and national telecom easements portfolio. The conversation also discusses his prior roles as CEO of CTI Towers and President of Melody Wireless Infrastructure, where he helped lead a landmark sector exit. Today, as he oversees roughly 3,000 wireless assets across all 50 states, Bacino is focused on how this platform can support the growing demands of carriers and end users alike.

Building a Hard-Asset Platform for Carrier Needs

Bacino explains that Symphony Towers Infrastructure is fundamentally a hard‑asset business, not a services company. The platform owns towers and rooftop rights that provide physical locations for antennas and radio equipment deployments, giving wireless carriers and other users the critical points they need to build and expand their networks. Backed by Palistar Capital, Symphony Towers operates with a dual mandate: acquire as many financially sound tower and rooftop assets as possible each year, and “lease up” those assets so carriers can use them to their fullest capacity.

A key strategic move discussed in the episode is Palistar’s decision to integrate Symphony Wireless into CTI Towers under the Symphony Towers banner. Rather than having two separate 1,500‑asset entities engaging the same carriers, the combined platform now approaches operators as a single company with more than 3,000 assets. For Bacino, this consolidation makes it easier for carriers, like AT&T, Verizon, and T‑Mobile, to interface with one partner for network locations and equipment installations and enables more robust, strategic conversations instead of one‑off, site‑by‑site evaluations.

Growth, 5G, 6G and the Broader Infrastructure Landscape

When Miller asks about Symphony Towers’ growth goals and geographic focus, Bacino breaks the answer into three parts. First, the company aims to acquire new assets where carriers demonstrate demand. Second, it strives to drive utilization across its existing sites, ensuring each asset delivers maximum value. Third, while Symphony Towers is focused across the entire U.S. rather than prioritizing one region over another, the team is ready to pivot if a carrier identifies a specific area or “mobile desert” where additional coverage and capacity are needed.

On technology, Bacino is clear that there is still plenty of work to do with 5G; upgrading from 4G to 5G nationwide is necessary for consistent network performance. Looking ahead, he sees real advantages and room for future technologies such as 6G, particularly for high‑demand use cases like streaming video, live business meetings, and other bandwidth or speed‑sensitive applications. He also frames wireless infrastructure in the broader context of the digital ecosystem, noting that data centers, subsea cables, and other platforms all ultimately rely on reliable wireless links to reach people’s devices. As he observes, it is now rare to attend any meeting, lunch, or dinner where someone does not have a mobile device in front of them. Wireless connectivity has become woven into everyday life.

Partnering with Municipalities and Communities

The conversation moves into how infrastructure providers like Symphony Towers can better partner with municipalities. When Miller raises the challenges of zoning, permitting, and community expectations, Bacino flips the question: the real key, he says, is for municipalities to clearly communicate what they need and expect. He points to “stealth” towers, sites designed to blend into the environment, such as structures that look like pine trees or rocks, as examples of how infrastructure can be deployed in ways that respect local aesthetics and ordinances, provided those requirements are defined up front.

Miller connects this to her work with the OIX Association’s Digital Infrastructure Framework Committee, which aims to educate city planners and economic developers about proactively master‑planning digital infrastructure. The goal is to help communities understand what they have, what they need to support government services and businesses, and what kind of place they want to become, whether a smart city, a tech hub, or something else. Bacino notes that municipalities are generally focused on supporting their residents and constituents, and that companies like Symphony Towers can step in as partners once there is a clear vision and strong communication around objectives and end‑state goals.

To continue the conversation, listen to the full podcast episode here.

The post Building America’s Wireless Future appeared first on Data Center POST.

Data Center POST had the opportunity to connect with Allan Schurr, Chief Commercial Officer at Enchanted Rock, where he leads commercial strategy, partnerships, and market expansion across data centers, utilities, industrial facilities, and critical infrastructure. With deep experience at the intersection of energy, infrastructure, and technology, Allan works closely with hyperscalers, developers, and operators to address one of the industry’s most pressing challenges: securing reliable, scalable power amid tightening grid constraints.

Throughout the conversation, Allan shared a pragmatic perspective to the energy transition, focused on solutions that work today, while enabling lower-carbon outcomes over time. The information below is summarized to provide our readers a deeper dive into who Enchanted Rock is, what they do and the problems they are solving in the industry.

What does Enchanted Rock do?  

Enchanted Rock delivers resilient, dispatchable onsite power generation that enables data centers and other critical facilities to secure power when and where the grid cannot. Working in partnership with utilities, our turnkey power solutions accelerate deployment, protect operations, and strengthen grid reliability.

What problems does Enchanted Rock solve in the market?

Enchanted Rock addresses the growing gap between fast-growing data center power demand and grid capacity. Our solutions help customers overcome interconnection delays, transmission constraints, and utility upgrade timelines, while ensuring reliable power during early operations, peak demand, and grid outages.

What are Enchanted Rock’s core products or services?

At Enchanted Rock, we focus on dispatchable onsite generation systems, end-to-end project delivery (such as design, engineering, EPC, commissioning), and long-term operations and maintenance. We also prioritize portfolio-level power strategy, market participation, and policy support.

What markets do you serve?

Enchanted Rock serves critical infrastructure customers across North America, with a focus on regions experiencing grid congestion, rapid load growth, and constrained interconnection capacity. This includes hyperscale, enterprise, colocation, and edge data center operators, as well as commercial and industrial sites.

What challenges does the global digital infrastructure industry face today?

The defining issue for the global digital infrastructure industry today is power. As AI and cloud adoption accelerate, electricity demand is increasing faster than traditional grid expansion timelines. This has resulted in longer interconnection queues, higher costs, and greater engagement from communities and regulators. In this environment, power availability, reliability, sustainability, and speed to deployment are no longer separate considerations, they must be addressed together.

How is Enchanted Rock adapting to these challenges?

We enable customers to bring capacity online immediately through onsite natural gas or renewable natural gas generation while remaining flexible as grid conditions evolve. Our portfolio-level approach allows developers and operators to standardize scalable solutions, reduce risk across multiple sites, achieve emissions-reduction goals, and align near-term reliability with long-term energy strategies.

What are Enchanted Rock’s key differentiators?

At Enchanted Rock, we focus on proven, dispatchable onsite power that protects customer uptime while supporting grid stability alongside flexible interconnection strategies that adapt to evolving utility, market, and regulatory conditions. Also, we have onsite generation that enables early operations and capacity ramp while data centers await permanent grid interconnection and end-to-end ownership and operational accountability across the full project lifecycle. On top of that, we have portfolio-level scalability for multi-site data center deployments and the ability to integrate with renewable energy and long-term decarbonization strategies.

What can we expect to see/hear from Enchanted Rock in the future?  

Enchanted Rock will continue expanding its role as a long-term power partner across data centers, industrial customers, and other critical infrastructure. We are focused on scaling portfolio-level onsite power solutions, developing new models for collaboration with utilities, and advancing systems that enhance grid reliability and community resilience. Looking ahead, we will continue investing in flexible, lower-emission generation that enables faster infrastructure deployment while supporting the evolving needs of the grid and the communities it serves.

What upcoming industry events will you be attending? 

Enchanted Rock attends and participates in industry events throughout the year focused on energy resiliency, power infrastructure, and digital infrastructure development. Later this month, catch us at PowerGen and the Power Resilience Forum; for a full schedule of upcoming events, visit www.enchantedrock.com/events.

Do you have any recent news you would like us to highlight?

Enchanted Rock recently appointed John Carrington as Chief Executive Officer to guide the company’s next phase of strategic growth, leveraging his extensive experience scaling energy and technology businesses nationwide. The company also introduced new onsite power generation platforms, the ERT500TM natural gas generator and RockBlock TM system, engineered to deliver higher power density, lower emissions, and utility-grade resiliency while reducing reliance on traditional diesel generators.

Is there anything else you would like our readers to know about Enchanted Rock and capabilities?

As grid conditions become more volatile and utility constraints intensify, Enchanted Rock is focused on helping customers and grid operators adapt to both near-term reliability risks and long-term structural change. We work alongside utilities, regulators, and customers to deploy flexible onsite power that not only protects facilities from outages, but also supports grid operations, evolving interconnection models, and emerging policy requirements.

Even in a year without U.S. hurricane landfalls, the grid faced significant stress in 2025, from winter storms and record heat to accelerating load growth driven by data centers and electrification. During that period, Enchanted Rock protected 348 sites, avoided 2,022 outages, and prevented more than 4,800 hours of downtime, including one avoided outage lasting 628 hours. That real-world performance underscores our role as a dependable, adaptive power partner, helping facilities stay powered, utilities manage constraints, and communities remain resilient as reliability margins tighten heading into 2026 and beyond.

Where can our readers learn more about Enchanted Rock?  

Visit www.enchantedrock.com or follow us on LinkedIn.

How can our readers contact Enchanted Rock? 

You can reach us on the contact page on our website; www.enchantedrock.com/contact.

# # #

About Data Center POST

Data Center POST provides a comprehensive view of the digital infrastructure landscape, delivering industry insights into the global data center ecosystem. As the industry’s only peer-contributed and online publication, we offer relevant information from developers, managers, providers, investors, and trendsetters worldwide.

Data Center POST works hard to get the most current information and thought-provoking ideas most apt to add relevance to the success of the data center industry. Stay informed, visit www.datacenterpost.com.

If you are interested in contributing to Data Center POST, contact us at [email protected] or submit your article here.

Want more digital infrastructure news? Stay in the know and subscribe to Data Center POST today!

The post Company Profile: Enchanted Rock – Focused on the Future of Data Center Power Reliability appeared first on Data Center POST.

Datalec Precision Installations (DPI) and PODTECH have announced a global technology partnership focused on delivering pre-staged, deployment-ready AI infrastructure solutions as hyperscaler demand drives data center vacancy rates to historic lows. With capacity tightening to 6.5% in Europe and 5.9% in the U.K., the partnership addresses a critical bottleneck in AI data center commissioning, where deployment timelines and technical complexity have become major constraints for enterprises and cloud platforms scaling GPU-intensive workloads.

The AI Infrastructure Commissioning Challenge

As hyperscalers deploy more than $600 billion in AI data center infrastructure this year, representing 75% of total capital expenditure, the focus has shifted from simply securing capacity to ensuring infrastructure is fully validated and production-ready at deployment. AI workloads demand far more than traditional data center services. NVIDIA-based AI racks require specialized expertise in NVLink fabric configuration, GPU testing, compute node initialization, dead-on-arrival (DOA) testing, site and factory acceptance testing (SAT/FAT), and network validation. These technical requirements, combined with increasingly tight deployment windows, have created demand for integrated commissioning providers capable of delivering turnkey solutions.

Integrated Capabilities Across the AI Lifecycle

The DPI-PODTECH partnership brings together complementary capabilities across the full AI infrastructure stack. DPI contributes expertise in infrastructure connectivity and mechanical systems. PODTECH adds software development, commissioning protocols, and systems integration delivered through more than 60 technical specialists across the U.K., Asia, and the Middle East. Together, the companies offer end-to-end services from pre-deployment validation through network bootstrapping, ensuring AI environments are fully operational before customer handoff.

The partnership builds on successful NVIDIA AI rack deployments for international hyperscaler programs, where both companies demonstrated the ability to manage complex, multi-site rollouts. By formalizing their collaboration, DPI and PODTECH are positioning to scale these capabilities across regions where data center capacity is most constrained and AI infrastructure demand is accelerating fastest.

Strategic Focus on High-Growth Markets

The partnership specifically targets Europe, Asia, and the Middle East, markets experiencing acute capacity constraints and surging AI investment. PODTECH’s existing presence across these regions gives the partnership immediate on-the-ground capacity to support hyperscaler and enterprise deployments. The company’s ISO 27001, ISO 9001, and ISO 20000-1 certifications provide the compliance foundation required for clients in regulated industries and public sector engagements.

Industry Perspective

“As organizations accelerate their AI adoption, the reliability and performance of the underlying infrastructure have never been more critical,” said James Bangs, technology and services director at DPI. “Building on our partnership with PODTECH, we have already delivered multiple successful deployments together, and this formal collaboration enables us to scale our capabilities globally.”

Harry Pod, founder at PODTECH, emphasized the operational benefits of the integrated model: “Following our successful collaborations with Datalec on major NVIDIA AI rack deployments, we are very proud to officially combine our capabilities. By working as one integrated delivery team, we can provide clients with packaged, pre-staged, and deployment-ready AI infrastructure solutions grounded in quality, precision, and engineering excellence.”

Looking Ahead

For enterprises and hyperscalers navigating AI infrastructure decisions in 2026, the partnership signals a shift toward specialized commissioning providers capable of managing the entire deployment lifecycle. With hyperscaler capital expenditure forecast to remain elevated through 2027 and vacancy rates showing no signs of easing, demand for integrated commissioning services is likely to intensify across DPI and PODTECH’s target markets.

Organizations evaluating AI infrastructure commissioning strategies can learn more at datalecltd.com.

The post DPI and PODTECH Partner to Scale AI Infrastructure Commissioning Across Europe, Asia, and the Middle East appeared first on Data Center POST.

Empire Fiber Internet, a leading fiber optic internet service provider serving communities across New York and Pennsylvania, has officially lit up the Downtown Cortland Wi-Fi Project in partnership with the City of Cortland. Residents, visitors, and local businesses can now tap into free, fast, and reliable public Wi-Fi throughout the downtown district.

Empire Fiber Internet first brought its high-speed fiber network to Cortland in 2024, delivering symmetrical, gig-ready connectivity to more than 5,500 homes and businesses. The Downtown Wi-Fi Project extends powerful, reliable internet access into the city’s most active public spaces.

​”Our partnership with the City of Cortland puts connection within everyone’s reach–residents, visitors, students, and families,” said Kevin Dickens, Empire Fiber Internet CEO. “When fast, free Wi-Fi is available in the places people gather, it strengthens community, expands access, and enhances everyday life.”

Empire Fiber Internet completed new community Wi-Fi installations at Beaudry Park, Dexter Park, and Suggett Park in Fall 2025, expanding fast, free public connectivity across some of Cortland’s most popular gathering spaces.

“As we put the finishing touches on Main Street, it’s exciting to expand free Wi-Fi access not only downtown, but into our public parks as well,” said Mayor of Cortland, Scott Steve. “This project strengthens accessibility, supports local businesses, and improves connectivity for residents and visitors alike.”

These projects deliver free, reliable public Wi-Fi across key downtown and park locations, increased foot traffic and visibility for local businesses, stronger community events supported by dependable connectivity, and modern digital infrastructure that fuels innovation, engagement, and economic growth.

To learn more about Empire Fiber Internet, visit www.empireaccess.com.

The post Empire Fiber Internet Lights Up Downtown Cortland with Free Wi-Fi appeared first on Data Center POST.

As artificial intelligence reshapes how organizations generate value from data, a quieter shift is happening beneath the surface. The question is no longer just how data is protected, but where it is processed, who governs it, and how infrastructure decisions intersect with national regulation and digital policy.

Datalec Precision Installations (DPI) is seeing this shift play out across global markets as enterprises and public sector organizations reassess how their data center strategies support both AI performance and regulatory alignment. What was once treated primarily as a compliance issue is increasingly viewed as a foundational design consideration.

Sovereignty moves upstream.

Data sovereignty has traditionally been addressed after systems were deployed, often resulting in fragmented architectures or operational workarounds. That approach is becoming less viable as regulations tighten and AI workloads demand closer proximity to sensitive data.

Organizations are now factoring sovereignty into infrastructure planning from the start, ensuring data remains within national borders and is governed by local legal frameworks. For many, this shift reduces regulatory risk while creating clearer operational boundaries for advanced workloads.

AI raises the complexity

AI intensifies data governance challenges by extending them beyond storage into compute and model execution. Training and inference processes frequently involve regulated or sensitive datasets, increasing exposure when data or workloads cross borders.

This has driven growing interest in sovereign AI environments, where data, compute, and models remain within a defined jurisdiction. Beyond compliance, these environments offer greater control over digital capabilities and reduced dependence on external platforms.

Balancing performance and governance 

Supporting sovereign AI requires infrastructure that can deliver high-density compute and low-latency performance without compromising physical security or regulatory alignment. DPI addresses this by delivering AI-ready data center environments designed to support GPU-intensive workloads while meeting regional compliance requirements.

The objective is to enable organizations to deploy advanced AI systems locally without sacrificing scalability or operational efficiency.

Regional execution at global scale

Demand for localized, compliant infrastructure is growing across regions where digital policy and economic strategy intersect. DPI’s expansion across the Middle East, APAC, and other international markets reflects this trend, combining regional delivery with standardized operational practices across 21 global entities.

According to Michael Aldridge, DPI’s Group Information Security Officer, organizations increasingly view localized infrastructure as a way to future-proof their digital strategies rather than constrain them.

Compliance as differentiation

As AI adoption accelerates, infrastructure and governance decisions are becoming inseparable. Organizations that can control where data lives and how AI systems operate are better positioned to manage risk, meet regulatory expectations, and move faster in regulated markets.

DPI’s approach reflects a broader industry shift: compliance is no longer just about meeting requirements, but about enabling innovation in an AI-driven environment.

To read DPI’s full perspective on data sovereignty and AI readiness, visit the company’s website.

The post Why Data Sovereignty Is Becoming a Strategic Imperative for AI Infrastructure appeared first on Data Center POST.

Originally posted on Sabey Data Centers.

The post 2025 in Review: Sabey’s Biggest Milestones and What They Mean appeared first on Data Center POST.

Duos Technologies Group Inc. (Nasdaq: DUOT), through its operating subsidiary Duos Edge AI, Inc., received the Outstanding Innovation Award at Pacific Telecommunication Conference 2026 (PTC’26). This honor recognizes Duos Edge AI’s leadership in modular Edge Data Center (EDC) solutions that boost efficiency, scalability, security, and customer experience.

Duos Edge AI’s capital-efficient model supports rapid 90-day installations and scalable growth tailored to regional needs like education, healthcare, and municipal services. High-availability designs deliver up to 100 kW+ per cabinet with resilient, 24/7 operations positioned within 12 miles of end users for minimal latency.

“This recognition from Pacific Telecommunications Council (PTC) is a meaningful validation of our strategy and execution,” said Doug Recker, President of Duos and Founder of Duos Edge AI. “Our mission has been to bring secure, low-latency digital infrastructure directly to communities that need it most. By deploying edge data centers where people live, learn, and work, we’re helping close the digital divide while building a scalable platform aligned with long-term growth and shareholder value.”

The award spotlights Duos Edge AI’s patented modular EDCs deployed in underserved communities for low-latency, enterprise-grade infrastructure. These centers enable real-time AI processing, telemedicine, digital learning, and carrier-neutral connectivity without distant cloud reliance.

Duos Edge AI thanks partners like Texas Regions 16 and 3 Education Service Centers, Dumas ISD, and local leaders embracing localized tech for equity.

To learn more about Duos Edge AI, visit www.duosedge.ai.

The post Duos Edge AI Earns PTC’26 Innovation Honor appeared first on Data Center POST.

As AI and high‑performance computing (HPC) workloads strain traditional air‑cooled data centers, Sabey Data Centers is expanding its partnership with JetCool Technologies to make direct‑to‑chip liquid cooling a standard option across its U.S. portfolio. The move signals how multi‑tenant operators are shifting from experimental deployments to programmatic strategies for high‑density, energy‑efficient infrastructure.

Sabey, one of the largest privately held multi‑tenant data center providers in the United States, first teamed with JetCool in 2023 to test direct‑to‑chip cooling in production environments. Those early deployments reported 13.5% server power savings compared with air‑cooled alternatives, while supporting dense AI and HPC racks without heavy reliance on traditional mechanical systems.

The new phase of the collaboration is less about proving the technology and more about scale. Sabey and JetCool are now working to simplify how customers adopt liquid cooling by turning what had been bespoke engineering work into repeatable designs that can be deployed across multiple sites. The goal is to give enterprises and cloud platforms a predictable path to high‑density infrastructure that balances performance, efficiency and operational risk.

A core element of that approach is a set of modular cooling architectures developed with Dell Technologies for select PowerEdge GPU‑based servers. By closely integrating server hardware and direct‑to‑chip liquid cooling, the partners aim to deliver pre‑validated building blocks for AI and HPC clusters, rather than starting from scratch with each project. The design includes unified warranty coverage for both the servers and the cooling system, an assurance that Sabey says is key for customers wary of fragmented support models.

The expanded alliance sits inside Sabey’s broader liquid cooling partnership program, an initiative that aggregates multiple thermal management providers under one framework. Instead of backing a single technology, Sabey is positioning itself as a curator of proven, ready‑to‑integrate cooling options that map to varying density targets and sustainability goals. For IT and facilities teams under pressure to scale GPU‑rich deployments, that structure promises clearer design patterns and faster time to production.

Executives at both companies frame the partnership as a response to converging pressures: soaring compute demand, tightening efficiency requirements and growing scrutiny of data center energy use. Direct‑to‑chip liquid cooling has emerged as one of the more practical levers for improving thermal performance at the rack level, particularly in environments where power and floor space are limited but performance expectations are not.

For Sabey, formalizing JetCool’s technology as a standard, warranty‑backed option is part of a broader message to customers: liquid cooling is no longer a niche or one‑off feature, but an embedded part of the company’s roadmap for AI‑era infrastructure. Organizations evaluating their own cooling strategies can find the full announcement here.

The post Sabey and JetCool Push Liquid Cooling from Pilot to Standard Practice​ appeared first on Data Center POST.

Empire Fiber Internet, a leading fiber optic internet service provider serving communities across New York and Pennsylvania, continues its ongoing expansion in the Greater Rochester area with the completion of its buildout in Irondequoit. This follows the company’s successful launch in Greece in August 2025 and underscores Empire Fiber Internet’s commitment to bringing high speed reliable fiber internet to Rochester area communities.

This expansion delivers 100% high speed fiber internet with symmetrical upload and download speeds to over 3,500 homes, with transparent rates, no hidden fees, no long term contracts, and locally based 24/7 customer support.​

“Irondequoit is a natural fit for our expansion: it’s a community that values choice and reliability, and our local team is already lighting up neighborhoods with 100% fiber, transparent pricing (no hidden fees or contracts), and 24/7 local support for residents and businesses,” said Kevin Dickens, CEO of Empire Fiber Internet. “High speed internet fuels work, learning, innovation, and growth, and we’re proud to bring that kind of game changing connectivity to the Irondequoit community.”​

Empire Fiber Internet’s network is designed to meet the growing needs of today’s households and businesses, supporting streaming, gaming, remote work, cloud applications, and secure operations. Plans in serviceable areas start at $55 per month with symmetrical speeds up to 2 Gig, free installation, no hidden fees, and 24/7 local customer support.​

To learn more about Empire Fiber Internet, visit www.empireaccess.com.

The post Empire Fiber Internet Brings High-Speed Fiber To Irondequoit appeared first on Data Center POST.

Originally posted on TelecomNewsroom.

Telcos are the missing link in AI adoption, say paying AI subscribers

Nearly three-quarters (74%) of US consumers who pay for generative AI services want those tools included directly with their mobile phone plan, according to new research from subscription bundling platform, Bango.

The survey of 1,400 ChatGPT subscribers in the US also reveals that demand for AI-inclusive telco bundles extends beyond mobile. A further 72% of AI subscribers want AI included as part of their home broadband or TV package, while more than three-quarters (77%) want generative AI tools paired with streaming services such as Netflix or Spotify, offering a bundling opportunity for telcos.

The findings signal a major opportunity for telcos to become the primary distributors of AI services. AI subscribers already spend over $65 per month on these tools, representing a high value audience for telcos.

To read the full press release, please click here.

The post Three-quarters of AI Subscribers in the US Want Generative AI Included With Their Mobile Contract appeared first on Data Center POST.

Data Center POST connected with Raul K. Martynek, Chief Executive Officer of DataBank Holdings, Ltd., ahead of PTC’26. Martynek joined DataBank in 2017 and brings more than three decades of leadership experience across telecommunications, Internet infrastructure, and data center operations. His background includes senior executive roles at Net Access, Voxel dot Net, Smart Telecom, and advisory positions with DigitalBridge and Plainfield Asset Management. Under his leadership, DataBank has expanded its national footprint, strengthened its interconnection ecosystems, and positioned its platform to support AI-ready, high-density workloads across enterprise, cloud, and edge environments. In the Q&A below, Martynek shares his perspective on the challenges shaping global digital infrastructure and how DataBank is preparing customers for the next phase of AI-driven growth.

Data Center Post (DCP) Question: What does your company do?  

Raul Martynek (RM) Answer: DataBank helps the world’s largest enterprises, technology, and content providers ensure their data and applications are always on, always secure, always compliant, and ready to scale to meet the needs of the artificial intelligence era.

DCP Q: What problems does your company solve in the market?

RM A: DataBank addresses a broad set of challenges enterprises face when managing critical infrastructure. Reliability and uptime are foundational, as downtime can severely impact revenue and customer trust. We also help organizations meet security and compliance requirements without having to build costly internal expertise. Our platform allows customers to scale infrastructure without large capital expenditures by shifting to an operating expense model. In addition, we provide managed expertise that frees internal teams to focus on strategic priorities, simplify hybrid IT and cloud integration, improve latency for distributed and edge workloads, strengthen cybersecurity posture, and mitigate talent and resource constraints.

DCP Q: What are your company’s core products or services?

RM A: Data center colocation, Interconnection, Enterprise Cloud, Compliance Enablement, Data Protection. Powered by expert, human support

DCP Q: What markets do you serve?

RM A: DataBank serves customers across a broad geographic footprint in the United States and Europe. In the western United States, the company operates in key markets including Irvine, Los Angeles, and Silicon Valley in California, as well as Las Vegas, Salt Lake City, and Seattle. Its central U.S. presence includes Chicago, Denver, Indianapolis, and Kansas City. In the southern region, DataBank supports customers in Atlanta, Austin, Dallas, Houston, Miami, and Waco. Along the East Coast and Midwest, the company operates in markets such as Boston, Cleveland, New Jersey, New York City, Philadelphia, and Pittsburgh. Internationally, DataBank also serves customers in the United Kingdom.

DCP Q: What challenges does the global digital infrastructure industry face today?

RM A: The industry is facing a convergence of challenges, including power availability and grid constraints, sustainability and carbon reduction requirements, cooling demands for high-density AI and HPC workloads, supply chain pressures, land acquisition and zoning issues, and increasing interconnection complexity. At the same time, organizations must contend with talent shortages and rising cybersecurity risks, all while supporting rapidly expanding digital workloads.

DCP Q: How is your company adapting to these challenges?

RM A: We are building in markets with available power headroom and designing scalable power blocks to support future growth. Our facilities are being prepared for AI-era density with liquid-ready designs and more efficient cooling strategies. Sustainability remains a priority, with a focus on lowering energy and water usage. We are standardizing construction to improve efficiency and flexibility while expanding interconnection ecosystems such as DE-CIX. Additionally, our managed services help fill enterprise talent gaps, and we continue to invest in operational excellence, security, and company culture.

DCP Q: What are your company’s key differentiators?

RM A: DataBank differentiates itself through strong engineering and operational management, future-ready platforms, and deep compliance expertise. Our geographic focus allows us to serve customers where they need infrastructure most, while our managed services provide visibility and control across complex environments. We are also supported by patient, long-term investors, enabling disciplined growth and sustained investment.

DCP Q: What can we expect to see/hear from your company in the future?  

RM A: Customers can expect continued commitment to enterprise IT infrastructure alongside expanded AI-ready platforms. We are growing our interconnection ecosystems, advancing sustainability initiatives, modernizing key campuses, and expanding managed and hybrid IT services. Enhancing security, compliance, and customer success will remain central, as will our focus on talent and culture.

DCP Q: What upcoming industry events will you be attending? 

RM A: AI Tinkers; Metro Connect; ATC CEO Summit; MIMSS 26; DCD>Connect 2026; ITW 2026; 7×24 Cloud Run Community Festival; CBRE Digital Infrastructure Summit 2026; AI Infra Conference; TMT M&A Forum; MegaPort Connect; TAG Data Center Summit; Supercomputing 2026; Incompany; DE-DIX Dallas Olde World Holiday Market

DCP Q: Do you have any recent news you would like us to highlight?

RM A: DataBank has recently announced several milestones that underscore its continued growth and long-term strategy. The company expanded its financing vehicle to $1.6 billion to support the next phase of platform expansion and infrastructure investment. DataBank also released new research showing that 60 percent of enterprises are already seeing a return on investment from AI initiatives or expect to within the next 12 months, highlighting the accelerating business impact of AI adoption. In addition, DataBank introduced a company-wide employee ownership program, reinforcing its commitment to culture, alignment, and long-term value creation across the organization.

DCP Q: Is there anything else you would like our readers to know about your company and capabilities?

RM A: DataBank is building the digital foundation for the AI, cloud, and connected-device era. Its national footprint of data centers delivers secure, high-density colocation, interconnection, and managed services that help enterprises deploy mission-critical workloads with confidence.

We are designing for the future with liquid-cooling capabilities, campus modernization, and expanded interconnection ecosystems. We are equally committed to responsible digital infrastructure: improving efficiency, reducing water use, strengthening security, and advancing compliance.

Above all, DataBank we are a trusted infrastructure partner, providing the expertise and operational support organizations need to scale reliably and securely.

DCP Q: Where can our readers learn more about your company?  

RM A: www.databank.com

DCP Q: How can our readers contact your company? 

PQ A: www.databank.com/contact-us

To learn more about PTC’26, please visit www.ptc.org/ptc26. The event takes place January 18-21, 2026 in Honolulu, HI.

If you are interested in contributing to Data Center POST, contact us at [email protected].

Stay in the know! Subscribe to Data Center POST today.

# # #

About Data Center POST

Data Center POST provides a comprehensive view of the digital infrastructure landscape, delivering industry insights into the global data center ecosystem. As the industry’s only peer-contributed and online publication, we offer relevant information from developers, managers, providers, investors, and trendsetters worldwide.

Data Center POST works hard to get the most current information and thought-provoking ideas most apt to add relevance to the success of the data center industry. Stay informed, visit www.datacenterpost.com.

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The post Building the Digital Foundation for the AI Era: DataBank’s Vision for Scalable Infrastructure appeared first on Data Center POST.

Data Center POST had the opportunity to connect with Paul Quigley, President of Airsys Cooling Technologies, Inc., ahead of PTC’26. With more than 36 years of experience spanning HVAC contracting, distribution, and executive leadership in manufacturing, Quigley is widely recognized for his work in large-scale, high-demand cooling environments. His career includes co-designing one of the largest VRF projects in North America and leading complex cooling initiatives across the United States. Since joining Airsys in 2021, Quigley has focused on advancing precision and liquid-assisted cooling technologies to help data center operators address power constraints driven by AI, high-density compute, and rapid digital infrastructure growth. In the Q&A below, Quigley shares his perspective on the challenges facing the global digital infrastructure industry and how Airsys is helping operators turn cooling efficiency into usable compute power.

Data Center Post (DCP) Question: What does your company do?  

Paul Quigley (PQ) Answer: Airsys is an energy-focused cooling solutions company founded on a simple idea: power should serve computation, not be lost protecting it. Every system we build returns power back to the data center where it belongs. Our innovative, award-winning technologies give operators more usable power for compute, improving capacity, resilience, and overall profitability.

DCP Q: What problems does your company solve in the market?

PQ A: Airsys helps data centers recover power lost to cooling. As AI clusters push energy systems past their limits, operators are forced to choose between compute, capacity, and cost. Our cooling technologies solve that problem by returning power back to the data center, reducing stranded capacity, and giving operators more usable power for compute.

DCP Q: What are your company’s core products or services?

PQ A: We design and build the world’s most advanced cooling solutions for data centers, including:

• LiquidRack spray-cooling and liquid-assisted rack systems
• High-efficiency DX and chilled-water cooling systems
• Flooded-evaporator chillers (CritiCool-X)
• Indoor and outdoor precision cooling systems
• Edge, modular, and containerized data-center cooling
• Control systems, energy-optimization tools, and PCE/ROIP performance frameworks

DCP Q: What markets do you serve?

PQ A:

• Hyperscale and AI compute environments
• Colocation and enterprise data centers
• Modular and prefabricated data centers
• Edge and telecom infrastructure
• Education, industrial, government, and defense applications requiring mission-critical cooling

DCP Q: What challenges does the global digital infrastructure industry face today?

PQ A: The industry now operates in an environment of rapid compute expansion and structural power scarcity. Grid limitations, long construction timelines, inefficient legacy cooling, land constraints, and the explosive rise of AI workloads have created an energy bottleneck. Data centers no longer struggle with space… they struggle with power.

DCP Q: How is your company adapting to these challenges?

PQ A: Airsys has always shifted the conversation from cooling to energy stewardship. Every system we design focuses on reducing cooling overhead and returning power to computation. Our LiquidRack spray-cooling platform, low-lift CritiCool-X chillers, and high-efficiency DX systems enable operators to deploy more compute with less infrastructure. We’re also advancing new metrics – PCE and ROIP – to help operators quantify the financial value of returned power.

DCP Q: What are your company’s key differentiators?

PQ A:

• Energy-first design philosophy — our systems return power to compute
• Rapid delivery and global manufacturing — critical in today’s supply-strained market
• LiquidRack spray cooling — enabling high-density AI clusters without stranded power
• Flooded-evaporator chiller technology — high efficiency, low lift, faster deployment
• End-to-end portfolio — DX, chilled water, liquid-assisted cooling, modular systems
• Practical engineering — simple, reliable, maintainable designs
• PCE / ROIP frameworks — financial and operational tools that change how operators evaluate cooling impact

DCP Q: What can we expect to see/hear from your company in the future?  

PQ A: You will see a major expansion of our LiquidRack platform, new ultra-efficient chiller technologies, deeper integration of PCE/ROIP metrics, and broader support for modular and edge deployments. We are continuing to push innovation toward one goal: giving operators more usable power for compute.

DCP Q: What upcoming industry events will you be attending? 

PQ A: Events Airsys is considering for 2026:

PTC’26 Hawaii; Escape the Cold Aisle Phoenix; Advancing DC Construction West; DCD>Connect New York; Data Center World DC; World of Modular Las Vegas; NSPMA; 7×24 Exchange Spring Orlando; Data Center Nation Toronto; Datacloud USA Austin; AI Infra Summit Santa Clara; DCW Power Dallas; Yotta Las Vegas; 7×24 Exchange Fall San Antonio; PTC DC; DCD>Connect Virginia; DCAC Austin; Supercomputing; Gartner IOCS; NVIDIA GTC; OCP Global Summit.

DCP Q: Do you have any recent news you would like us to highlight?

PQ A: Yes, Airsys has expanded its high-density cooling portfolio with several major advancements:

• LiquidRack spray-cooling platform for AI clusters
• CritiCool-X flooded-evaporator chiller line
• PowerOne high-density cooling solutions supporting AI, HPC, and hyperscale growth
• New PCE and ROIP frameworks that help operators quantify power-to-compute efficiency and energy stewardship

More announcements are planned for early 2026 as Airsys continues to expand its advanced cooling portfolio for high-density compute environments

DCP Q: Is there anything else you would like our readers to know about your company and capabilities?

PQ A: Airsys is built on a simple idea: power should serve computation, not be lost protecting it. Our mission is to help operators turn cooling losses into compute gains and to make energy stewardship a competitive advantage in the AI era.

DCP Q: Where can our readers learn more about your company?  

PQ A: www.airsysnorthamerica.com

DCP Q: How can our readers contact your company? 

PQ A: www.airsysnorthamerica.com/contact

To learn more about PTC’26, please visit www.ptc.org/ptc26. The event takes place January 18-21, 2026 in Honolulu, HI.

If you are interested in contributing to Data Center POST, contact us at [email protected].

Stay in the know! Subscribe to Data Center POST today.

# # #

About Data Center POST

Data Center POST provides a comprehensive view of the digital infrastructure landscape, delivering industry insights into the global data center ecosystem. As the industry’s only peer-contributed and online publication, we offer relevant information from developers, managers, providers, investors, and trendsetters worldwide.

Data Center POST works hard to get the most current information and thought-provoking ideas most apt to add relevance to the success of the data center industry. Stay informed, visit www.datacenterpost.com.

ADVERTISE | CONTRIBUTE | SUBSCRIBE

The post Power Should Serve Compute: Airsys’ Energy-First Approach to Data Center Cooling appeared first on Data Center POST.

The global AI data center market was valued at USD 98.2 billion in 2024 and is estimated to grow at a CAGR of 35.5% to reach USD 1.98 trillion by 2034, according to a recent report by Global Market Insights Inc.

Growing adoption of generative AI and machine learning tools requires extraordinary processing power and storage capabilities, increasing reliance on data centers specifically optimized for AI workloads. These environments depend on advanced GPUs, scalable system architecture, and ultra-low-latency networking to support complex model training and inference across industries such as finance, healthcare, and retail. Big data analytics is also accelerating demand, as organizations handle massive streams of structured and unstructured information that must be processed rapidly.

AI-focused facilities enable high-performance computing for real-time workloads, strengthening their role as essential infrastructure for global digital transformation. The rapid expansion of cloud computing, along with the rising number of hyperscale facilities, continues to amplify the need for AI-ready infrastructures. Providers are investing in advanced AI data platforms that offer scalable services to enterprises and developers, further increasing market momentum.

The AI data center market from the hardware segment accounted for USD 61.1 billion in 2024. Growth is driven by expanding use of AI chips, GPU accelerators, advanced cooling technologies, high-density server systems, and optical networking solutions. Rising GPU energy requirements, the shift toward rack densities between 30-120 kW, and large-scale deployment strategies introduced by leading technology companies are shaping long-term capital allocation in the sector.

The cloud-based category held a 58% share in 2024 and is projected to grow at a CAGR of 35.2% from 2025 through 2034. This segment leads due to its unmatched scalability, flexible consumption options, and access to the latest AI-accelerated computing hardware without upfront investment. Hyperscale providers are making multi-billion-dollar commitments to strengthen global AI infrastructures, propelling adoption of AI-driven services and increasing demand for GPUs, TPUs, and specialized processors.

U.S. AI Data Center Market generated USD 33.2 billion in 2024. The country maintains a leading position supported by prominent hyperscale operators and substantial investments in GPU clusters, liquid cooling, and large-scale AI-aligned builds. Federal incentives, regional tax advantages, and infrastructure funding have further solidified the United States as the most capacity-rich region for AI computing.

Key participants in the AI data center market include Huawei, AWS, NVIDIA, HPE, Digital Realty, Google, Lenovo, Microsoft, Equinix, and Dell Technologies. Companies expanding their foothold in the market are focusing on infrastructure modernization, large-scale GPU deployments, and energy-efficient system design.

Many firms are investing in high-density racks, integrated liquid cooling, and next-generation networking to support advanced AI workloads. Strategic partnerships with chipmakers, cloud providers, and colocation operators help accelerate capacity expansion and ensure access to cutting-edge AI hardware. Providers are also scaling global data center footprints, enhancing automation capabilities, and optimizing power utilization through renewable-energy integration. Long-term contracts with enterprises, AI-as-a-service offerings, and the buildout of specialized AI clusters further reinforce competitive positioning and market dominance.

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Data centers are the backbone of modern digital infrastructure. They power cloud services, financial systems, healthcare platforms, and nearly every technology-driven business. As demand for data storage and processing grows, so do the operational, financial, and risk-related challenges data centers face. For managers, understanding these issues and knowing how to address them proactively is critical to maintaining uptime, security, and long-term viability. This is what you need to know to ensure you can meet up with demand.

Rising Energy Costs and Efficiency Demands

One of the most persistent challenges for data centers is energy consumption. Powering servers, cooling systems, and redundancy infrastructure requires enormous amounts of electricity, and energy costs continue to rise globally. Beyond cost, there is increasing pressure from regulators and customers to reduce environmental impact.

Managers can address this by investing in energy-efficient hardware, optimizing airflow and cooling layouts, and adopting real-time monitoring tools to identify waste. Long-term strategies may include transitioning to renewable energy sources or partnering with utility providers for more favorable pricing structures.

Cooling and Thermal Management Challenges

Heat is an unavoidable byproduct of high-density computing. Inefficient cooling not only increases costs but also raises the risk of equipment failure and downtime. As server densities increase, traditional cooling methods often struggle to keep up.

Modern solutions include hot-aisle/cold-aisle containment, liquid cooling, and AI-driven thermal monitoring systems. For managers, the key is treating cooling as a dynamic system rather than a fixed infrastructure. However, this needs to be one that evolves alongside hardware demands.

Financial Risk and Insurance Considerations

Data centers face significant financial exposure from equipment damage, downtime, liability claims, and unforeseen events. Even with strong operational controls, risk cannot be eliminated entirely.

This is where insurance becomes a critical part of risk management. Evaluating coverage that aligns with the unique needs of data center operations can help protect against losses that would otherwise threaten business continuity. BOP insurance by Next Insurance can help managers think more holistically about protecting assets, operations, and revenue streams as part of an overall risk strategy.

Downtime and Business Continuity Risks

Even brief outages can result in significant financial losses, reputational damage, and contractual penalties. This downtime may be caused by:

• Power failures
• Human error
• Equipment malfunction
• External events

To mitigate this risk, managers should prioritize redundancy at every critical point, including power supplies, network connections, and backup systems. Regular testing of disaster recovery plans is just as important as having them documented, too. A plan that hasn’t been tested is often unreliable in real-world conditions. You put your business and those whom you cater to at risk.

Cybersecurity and Physical Security Threats

Data centers face a dual security challenge: digital threats and physical risks. Cyberattacks continue to grow in sophistication, while physical threats such as unauthorized access, theft, or vandalism remain real concerns.

Addressing this requires layered security. On the digital side, this includes continuous patching, network segmentation, and monitoring for unusual activity. Physically, access controls, surveillance systems, and strict visitor protocols are essential. Managers should also ensure that staff training keeps pace with evolving threats, as human error remains a major vulnerability.

Compliance and Regulatory Pressure

Data centers often operate under complex regulatory requirements related to data privacy, industry standards, and regional laws. Compliance failures can result in fines, legal exposure, and loss of customer trust.

Managers can stay ahead by maintaining clear documentation, conducting regular audits, and working closely with legal and compliance teams. Building compliance into operational processes, rather than treating it as an afterthought, reduces risk and simplifies reporting.

Turning Challenges Into Strategic Advantage

While data centers face a wide range of operational and strategic challenges, these issues also present opportunities for improvement and differentiation. Managers who address all of the above proactively are better positioned to deliver reliability and value in a competitive market. Don’t let yours be the one that falls victim to the issues and instead take action.

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About the Author:

James Daniels is a freelance writer, business enthusiast, a bit of a tech buff, and an overall geek. He is also an avid reader, who can spend hours reading and knowing about the latest gadgets and tech, whilst offering views and opinions on these topics.

The post Issues Data Centers Face and How to Overcome Them: A Guide for Managers appeared first on Data Center POST.

Cyber incidents haven’t ceased to escalate in 2025, and they keep making their presence felt more and more impactfully as we transition into 2026. The quick evolution of novel cyber threat trends leaves data centers increasingly exposed to disruptions extending beyond the traditional IT boundaries.

The Uptime Institute’s annual outage analysis shows that in 2024, cyber-related disruptions occurred at roughly twice the average rate seen over the previous four years. This trend aligns with findings from Honeywell’s 2025 Cyber Threat Report, which identified a sharp increase in ransomware and extortion activity targeting operational technology environments based on large-scale system data.

There are many discussions today around infrastructure complexity and attack sophistication, but it’s a lesser-known reality that human error in cybersecurity remains a central factor behind many of these incidents. Routine configuration changes, access decisions, or decisions taken under stress can create conditions that allow errors to sneak in. Looking at high-availability environments, human error often becomes the point at which otherwise contained threats begin to escalate into bigger problems.

As cyberattacks on data centers continue to grow in number, downtime is carrying heavier and heavier financial and reputational consequences. Addressing human error in cybersecurity means recognizing that human behavior plays a direct role in how a security architecture performs in practice. Let’s take a closer look.

How  Attackers Take Advantage of Human Error in Cybersecurity

Cyberattacks often exploit vulnerabilities that stem from both superficial, maybe even preventable mistakes, as well as deeper, systemic issues. Human error in cybersecurity often arises when established procedures are not followed through consistently, which can create gaps that attackers are more than eager to exploit. A delayed firmware update or not completing maintenance tasks can leave infrastructure exposed, even when the risks are already known. And even if organizations have defined policies to reduce these exposures, noncompliance or insufficient follow-through often weakens their effectiveness.

In many environments, operators are aware that parts of their IT and operational technology infrastructure carry known weaknesses, but due to a lack of time or oversight, they fail to address them consistently. Limited training also adds to the problem, especially when employees are expected to recognize and respond to social engineering techniques. Phishing, impersonation, and ransomware attacks are increasingly targeting organizations with complex supply chains and third-party dependencies, and in these situations, human error often enables the initial breach, after which attackers move laterally through systems, using minor mistakes to trigger disruptions.

Why Following Procedures is Crucial

Having policies in place doesn’t always guarantee that the follow-through will be consistent. In everyday operations, teams often have to juggle many things at once: updates, alerts, and routine maintenance, and small steps can be missed unintentionally. Even experienced staff can make these kinds of mistakes, especially when managing large or complex environments over an extended period of time. Gradually, these small oversights can add up and leave systems exposed.

Account management works similarly. Password rules, or the policies for the handling of inactive accounts are usually well-defined; however, they are not always applied homogeneously. Dormant accounts may go unnoticed, and teams can fall behind on updates or escape regular review. Human error in cybersecurity often develops step by step through workloads, familiarity, and everyday stress, and not because of a lack of skill or awareness.

The Danger of Interacting With Social Engineering Without Even Knowing

Social engineering is a method of attack that uses deception and impersonation to influence people into revealing information or providing access. It relies on trust and context to make people perform actions that appear harmless and legitimate at the moment.

The trick of deepfakes is that they mirror everyday communication very accurately. Attackers today have all the tools to impersonate colleagues, service providers, or internal support staff. A phone call from someone claiming to be part of the IT help desk can easily seem routine, especially when framed as a quick fix or standard check. Similar approaches can be seen in emails or messaging platforms, and the pattern is the same: urgency overrides safety.

With the various new tools available, visual deception has become very common. Employees may be directed to login pages that closely resemble internal systems and enter credentials without hesitation. Emerging techniques like AI-assisted voice or video impersonation further blur the line between legitimate requests and malicious activity, making social engineering interactions very difficult to recognize in real time.

Ignoring Security Policies and Best Practices

It’s not enough if security policies exist only as formal documentation, but are not followed consistently on the floor. Sometimes, even if access procedures are defined, employees under the pressure of time can make undocumented exceptions. Access policies, or change management rules, for example, require peer review and approval, but urgent maintenance or capacity pressures often lead to decisions that bypass those steps.

These small deviations create gaps between how systems are supposed to be protected and how they are actually handled. When policies become situational or optional, security controls lose their purpose and reliability, leaving the infrastructure exposed, even though there’s a mature security framework in place.

When Policies Leave Room for Interpretation

Policies that lack precision introduce variability into how security controls are applied across teams and shifts. When procedures don’t explicitly define how credentials should be managed on shared systems, retained login sessions, or administrative access can remain in place beyond their intended scope. Similarly, if requirements for password rotation or periodic access reviews are loosely framed or undocumented, they are more likely to be deferred during routine operations.

These conditions rarely trigger immediate alerts or audit findings. However, over time, they accumulate into systemic weaknesses that expand the attack surface and increase the likelihood of attacks.

Best Practices That Erode in Daily Operations

Security issues often emerge through slow, incremental changes. When operational pressure increases, teams might want to rely on more informal workarounds to keep everything running. Routine best practices like updates, access reviews, and configuration standards can slip down the priority list or become sloppy in their application. Individually, all of these decisions can seem reasonable at the moment; over time, however, they do add up and dilute the established safeguards, which leaves the organization exposed even without a single clearly identifiable incident.

Overlooking Access and Offboarding Control

Ignoring best practices around access management introduces the next line of risks. Employees and third-party contractors often retain privileges beyond their active role if offboarding steps are not followed through. In the lack of clear deprovisioning rules, like disabling accounts, dormant access can linger on unnoticed. These inactive accounts are not monitored closely enough to detect and identify if misuse or compromise happens.

Policy Gaps During Incident Response

The consequences of ignoring procedures become most visible when an actual cybersecurity incident occurs. When teams are forced to act quickly without clear guidance, errors start to surface. Procedures that are outdated, untested, or difficult to locate offer little support during an emergency. There’s no policy that can eliminate risks completely, however, organizations that treat procedures as living, enforceable tools are better positioned to respond effectively when an incident occurs.

A Weak Approach to Security Governance

Weak security governance often allows risks to persist unnoticed, especially when oversight from management is limited or unclear. Without clear ownership and accountability, routine tasks like applying security patches or reviewing alerts can be delayed or overlooked, leaving systems exposed. These seemingly insignificant gaps create an environment over time in which vulnerabilities are known but not actively addressed.

Training plays a very important role in closing this gap, but only when it is treated as part of governance,and not as an isolated activity. Regular, structured training helps employees develop a habit of verification and reinforces the checks and balances defined by organizational policies. To remain effective, training has to evolve in tandem with the threat landscape. Employees need ongoing exposure to emerging attack techniques and practical guidance on how to recognize and respond to them within their daily workflows. Aligned governance and training help organizations position themselves better to reduce risk driven by human factors.

Understanding the Stakes

Human error in cybersecurity is often discussed as a collection of isolated missteps, but in reality, it reflects how people operate within complex systems under constant pressure.

In data center environments, these errors rarely occur as isolated events but are influenced by interconnected processes, tight timelines, and attackers who deliberately exploit trust, familiarity, and routine behavior. Looking at it from this angle, human error doesn’t show only individual mistakes but provides insight into how risks develop across an organization over time.

Recognizing the role of human error in cybersecurity is essential for reducing future incidents, but awareness alone is not enough. Training also plays an important role, but it cannot compensate for unclear processes, weak governance, or a culture that prioritizes speed more than safety.

Data center operators have to continuously adapt their security practices and reinforce expectations through daily operations instead of treating security best practices as rigid formalities. Building a culture where employees understand how their actions influence security outcomes helps organizations respond more effectively to evolving threats and limits the conditions that allow small errors to turn into major, devastating incidents.

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About the Author

Michael Zrihen  is the Senior Director of Marketing & Internal Operations Manager at Volico Data Centers.

The post Human Error in Cybersecurity and the Growing Threat to Data Centers appeared first on Data Center POST.

Sabey Data Centers is adding OptiCool Technologies to its growing ecosystem of advanced cooling partners, aiming to make high-density and AI-driven compute deployments more practical and energy efficient across its U.S. footprint. This move highlights how colocation providers are turning to specialized liquid and refrigerant-based solutions as rack densities outstrip the capabilities of traditional air cooling.

OptiCool is known for two-phase refrigerant pumped systems that use a non-conductive refrigerant to absorb heat through phase change at the rack level. This approach enables efficient heat removal without chilled water loops or extensive mechanical plant build-outs, which can simplify facility design and cut both capital and operating costs for data centers pushing into higher power densities. Sabey is positioning the OptiCool alliance as part of its integrated cooling technologies partnership program, which is designed to lower barriers to liquid and alternative cooling adoption for customers. Instead of forcing enterprises to engineer bespoke solutions for each deployment, Sabey is curating pre-vetted architectures and partners that align cooling technology, facility infrastructure and operational responsibility. For operators planning AI and HPC rollouts, that can translate into clearer deployment paths and reduced integration risk.

The appeal of two-phase refrigerant cooling lies in its combination of density, efficiency and retrofit friendliness. Because the systems move heat directly from the rack to localized condensers using a pumped refrigerant, they can often be deployed with minimal disruption to existing white space. That makes them attractive for operators that need to increase rack power without rebuilding entire data halls or adding large amounts of chilled water infrastructure.

Sabey executives frame the partnership as a response to customer demand for flexible, future-ready cooling options. As more organizations standardize on GPU-rich architectures and high-density configurations, cooling strategy has become a primary constraint on capacity planning. By incorporating OptiCool’s technology into its program, Sabey is signaling to customers that they will have multiple, validated pathways to support emerging workload profiles while staying within power and sustainability envelopes.

As liquid and refrigerant-based cooling rapidly move into the mainstream, customers evaluating their own AI and high-density strategies may benefit from understanding how Sabey is standardizing these technologies across its portfolio. To explore how this partnership and Sabey’s broader integrated cooling program could support specific deployment plans, readers can visit Sabey’s website for more information at www. sabeydatacenters.com.

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Alphabet, Amazon, and Microsoft; these tech giants’ cloud services, Google Cloud, AWS, and Azure, respectively, are considered the driving force behind all current business computing, data, and mobile services. But back in the mid-2000s, they weren’t immediately seen as best bets on Wall Street. When Amazon launched AWS, analysts and investors were skeptical. They dismissed AWS as a distraction from Amazon’s core retail business. The Wall Street wizards did not understand the potential of cloud computing services. Many critics believed enterprises would never move their mission-critical workloads off-premises and into remote data centers.

As we all know, the naysayers were wrong, and cloud computing took off, redefining global business. It turbo-charged the economy, creating trillions in enterprise value while reducing IT costs, increasing application agility, and enabling new business models. In addition, the advent of cloud services lowered barriers to entry for startups and enabled rapid service scaling. Improving efficiency, collaboration, and innovation through scalable, pay-as-you-go access to computing resources was part of the formula for astounding success. The cloud pushed innovation to every corner of society, and those wise financiers misunderstood it. They could not see how this capital-intensive, long-horizon bet would ever pay off.

Now, we are at that moment again. This time with artificial intelligence.

Headlines appear every day saying that we’re in an “AI bubble.” But AI has gone beyond mere speculation as companies (hyperscalers) are in early-stage infrastructure buildout mode. Hyperscalers understand this momentum. They have seen this movie before with a different protagonist, and they know the story ends with transformation, not collapse. The need for transformative compute, power, and connectivity is the catalyst driving a new generation of data center buildouts. The applications, the productivity, and the tools are there. And unlike the early cloud era, sustainable AI-related revenue is a predictable balance sheet line item.

The Data

Consider these most recent quarterly earnings:

• Microsoft Q3 2025: Revenue: $70.1B, up 13%. Net income: $25.8B, up 18%. Intelligent Cloud grew 21% led by Azure, with 16 points of growth from AI services.
• Amazon Q3 2025: Revenue: $180.2B, up 13%. AWS grew 20% to $33B. Trainium2, its second-gen AI chip, is a multi-billion-dollar line. AWS added 3.8 GW of power capacity in 12 months due to high demand.

• Alphabet (Google Parent) Q3 2025: Revenue: $102.35B, up 16%. Cloud revenue grew 33% to $15.2B. Operating income: up nearly 85%, backed by $155B cloud backlog.
• Meta Q3 2025: Revenue: $51.2B, up 26%. Increased infrastructure spend focused on expanding AI compute capacity. (4)

These are not the signs of a bubble. These are the signatures of a platform shift, and the companies leading it are already realizing returns while businesses weave AI into operations.

Bubble or Bottleneck

However, let’s be clear about this analogy: AI is not simply the next chapter of the cloud. Instead, it builds on and accelerates the cloud’s original mission: making extraordinary computing capabilities accessible and scalable. While the cloud democratized computing, AI is now democratizing intelligence and autonomy. This evolution will transform how we work, secure systems, travel, heal, build, educate, and solve problems.

Just as there were cloud critics, we now have AI critics. They say that aggressive capital spending, rising energy demand, and grid strain are signs that the market is already overextended. The pundits are correct about the spending:

• Alphabet (Google) Q3 2025: ~US $24B on infrastructure oriented toward AI/data centers.
• Amazon (AWS) Q3 2025: ~US $34.2B, largely on infrastructure/AI-related efforts.
• Meta Q3 2025: US $19.4B directed at servers/data centers/network infrastructure for AI.
• Microsoft Q3 2025: Roughly US $34.9B, of which perhaps US $17-18B or more is directly AI/data-center infrastructure (based on “half” of capex).

However, the pundits’ underlying argument is predicated on the same misunderstandings seen in the run-up to the cloud era: it confuses infrastructure investment with excess spending. The challenge with AI is not too much capacity; it is not enough. Demand is already exceeding grid capacity, land availability, power transmission expansion, and specialized equipment supply.

Bubbles do not behave that way; they generate idle capacity. For example, consider the collapse of Global Crossing. The company created the first transcontinental internet backbone by laying 100,000 route-miles of undersea fiber linking 27 countries.

Unfortunately, Global Crossing did not survive the dot-com bubble burst (1990-2000) and filed for bankruptcy. However, Level 3, then CenturyLink (2017), and Lumen Technologies knew better than to listen to Wall Street and acquired Global Crossing’s cables. Today, Lumen has reported total 2024 revenue of $13.1 billion. Although they don’t specifically list submarine cable business revenue, it’s reasonable to infer that these cables are still generating in the low billion-dollar revenue figures—a nice perpetual paycheck for not listening to the penny pinchers.

The AI economy is moving the value chain down the same path of sustainable profitability. But first, we must address factors such as data center proximity to grid strength, access to substation expansion, transformer supply, water access, cooling capacity, and land for modern power-intensive compute loads.

Power, Land, and the New Workforce

The cloud era prioritized fiber; the AI era is prioritizing power. Transmission corridors, utility partnerships, renewable integration, cooling systems, and purpose-built digital land strategies are essential for AI expansion. And with all that comes the “pick and shovel” jobs building data centers, which Wall Street does not factor into the AI economy. You need to look no further than Caterpillar’s Q3 2025 sales and revenue of $16.1 billion, up 10 percent.

Often overlooked in the tech hype are the industrial, real estate, and power grid requirements for data center builds, which require skilled workers such as electricians, steelworkers, construction crews, civil engineers, equipment manufacturers, utility operators, grid modernizers, and renewable developers. And once they’re up and running, data centers need cloud and network architects, cybersecurity analysts, and AI professionals.

As AI scales, it will lift industrial landowners, renewable power developers, utilities, semiconductor manufacturers, equipment suppliers, telecom networks, and thousands of local trades and service ecosystems, just as it’s lifting Caterpillar. It will accelerate infrastructure revitalization and strengthen rural and suburban economies. It will create new industries, just like the cloud did with Software as a Service (SaaS), e-commerce logistics, digital banking, streaming media, and remote-work platforms.

Conclusion

We’ve seen Wall Street mislabel some of the most significant tech expansions, from the telecom-hotel buildout of the 1990s to the co-location wave, global fiber expansion, hyperscale cloud, and now, with AI. Just like all revolutionary ideas, skepticism tends to precede them, even though there’s an inevitability to them. But stay focused: infrastructure comes before revenue, and revenue tends to arrive sooner than predicted, which brings home the point that AI is not inflating; it is expanding.

Smartphones reshaped consumer behavior within a decade; AI will reshape the industry in less than half that time. This is not a bubble. It is an infrastructure super-cycle predicated on electricity, land, silicon, and ingenuity. Now is the time to act: those who build power-first digital infrastructure are not in the hype business; they’re laying the foundation for the next century of economic growth.

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About the Author

Ryne Friedman is an Associate at hi-tequity, where he leverages his commercial real estate expertise to guide strategic site selection and location analysis for data center development. A U.S. Coast Guard veteran and licensed Florida real estate professional, he previously supported national brands such as Dairy Queen, Crunch Fitness, Jimmy John’s, and 7-Eleven with market research and site acquisition. His background spans roles at SLC Commercial, Lambert Commercial Real Estate, DSA Encore, and DataCenterAndColocation. Ryne studied Business Administration and Management at Central Connecticut State University.

The post It’s Not An AI Bubble — We’re Witnessing the Next “Cloud” Revolution appeared first on Data Center POST.

Equinix customers can now order last-mile connectivity from enterprise edge locations to any of Equinix’s 270+ data centers globally, eliminating weeks of manual sourcing and the margin stacking that has long plagued enterprise network procurement.

The collaboration integrates Resolute CS’s NEXUS platform directly into the Equinix Customer Portal, giving enterprises transparent access to 3,200+ carriers across 180 countries. Rather than navigating opaque pricing through multiple intermediaries, customers can design, price, and order last-mile access with full visibility into costs and carrier options.

The Last-Mile Problem

While interconnection platforms like Equinix Fabric have transformed data center connectivity, the edge connectivity gap has remained a persistent friction point. Enterprises connecting branch offices or remote facilities to data centers typically face weeks-long sourcing cycles, opaque pricing structures with 2-4 layers of margin stacking (25-30% each), and inconsistent delivery across geographies.

This inefficiency becomes particularly acute as AI workloads shift toward distributed architectures. Unlike centralized applications, AI infrastructure increasingly requires connectivity across edge locations, multiple data centers, and cloud platforms, creating exponentially more last-mile requirements that manual sourcing processes cannot efficiently handle.

How It Works

Resolute NEXUS automates route design, identifies diversity and resiliency options, simplifies cloud access paths, and coordinates direct ordering with carriers. The result: enterprises can manage connectivity from branch office to data center to cloud through a single portal, with transparent pricing and no hidden margin layers.

“We are empowering customers to design their network architecture without access constraints,” said Patrick C. Shutt, CEO and co-founder of Resolute CS. “With Equinix and Resolute NEXUS, customers can design, price, and order global last-mile access with full transparency, removing complexity and lowering costs.”

Benefits for Carriers Too

The platform also creates opportunities for network providers. By operating as a carrier-neutral marketplace, Resolute NEXUS gives providers direct visibility into qualified enterprise demand, improved infrastructure utilization, and lower customer acquisition costs, all without the traditional intermediary layers.

AI and Distributed Infrastructure

With Equinix operating 270+ AI-optimized data centers across 77 markets, automated last-mile sourcing directly addresses the connectivity requirements for distributed AI deployments. Enterprises can now provision edge-to-cloud connectivity with the speed and transparency expected from modern cloud services.

Equinix Fabric customers can access the platform immediately through the Equinix Customer Portal by navigating to “Find Service Providers” and searching for Resolute NEXUS – Last Mile Access.

To learn more, read the full press release here.

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DC BLOX has taken a significant step in accelerating digital transformation across the Southeast with the closing of a new $240 million HoldCo financing facility from Global Infrastructure Partners (GIP), a part of BlackRock. This strategic funding positions the company to rapidly advance its hyperscale data center expansion while reinforcing its role as a critical enabler of AI and cloud growth in the region.​

Strategic growth financing

The $240 million facility from GIP provides fresh growth capital dedicated to DC BLOX’s hyperscale data center strategy, building on the company’s recently announced $1.15 billion and $265 million Senior Secured Green Loans. Together, these financings support the development and construction of an expanding portfolio of digital infrastructure projects designed to meet surging demand from hyperscalers and carriers.​

Powering AI and cloud innovation

DC BLOX has emerged as a leader in connected data center and fiber network solutions, with a vertically integrated platform that includes hyperscale data centers, subsea cable landing stations, colocation, and fiber services. This model allows the company to offer end-to-end solutions for hyperscalers and communications providers seeking capacity, connectivity, and resiliency in high-growth Southeastern markets.​

Community and economic impact

The new financing is about more than infrastructure; it is also about regional economic development. DC BLOX’s investments help bring cutting-edge AI and cloud technology into local communities, while driving construction jobs, tax revenues, and power grid enhancements that benefit both customers and ratepayers.

“We are excited to partner with GIP, a part of BlackRock, to fuel our ambitious growth goals,” said Melih Ileri, Chief Investment Officer at DC BLOX. “This financing underscores our commitment to serving communities in the Southeast by bringing cutting-edge AI and cloud technology investments with leading hyperscalers into the region, and creating economic development activity through construction jobs, taxes paid, and making investments into the power grid for the benefit of our customers and local ratepayers alike.”​

Backing from leading investors

Michael Bogdan, Chairman of DC BLOX and Head of the Digital Infrastructure Group at Future Standard, highlighted that this milestone showcases the strength of the company’s vision and execution. Future Standard, a global alternative asset manager based in Philadelphia with over 86.0 billion in assets under management, leads DC BLOX’s sponsorship and recently launched its Future Standard Digital Infrastructure platform with more than 2 billion in assets. GIP, now a part of BlackRock and overseeing over 189 billion in assets, brings deep sector experience across energy, transport, and digital infrastructure, further validating DC BLOX’s role in shaping the Southeast as a global hub for AI-driven innovation.​

Read the full release here.

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Yotta 2026 is officially open for registration, returning Sept. 28–30 to Las Vegas with a larger footprint, a new venue and an expanded platform designed to meet the accelerating demands of AI-driven infrastructure. Now hosted at Caesars Forum, Yotta 2026 reflects both the rapid growth of the event and the unprecedented pace at which AI is reshaping compute, power and digital infrastructure worldwide.

As AI workloads scale faster than existing systems were designed to handle, infrastructure leaders are facing mounting challenges around power availability, capital deployment, resilience and integration across traditionally siloed industries. Yotta 2026 is built to convene the full ecosystem grappling with these realities, bringing together operators, hyperscalers, enterprise leaders, energy executives, investors, builders, policymakers and technology partners in one place.

Rebecca Sausner, CEO of Yotta, emphasizes that the event is designed for practical progress, not theoretical discussion. From chips and racks to networks, cooling, power and community engagement, AI is transforming every layer of digital infrastructure. Yotta 2026 aims to move conversations beyond vision and into real-world solutions that address scale, reliability and investment risk in an AI-first era.

A defining feature of Yotta 2026 is its advisory board-led approach to programming. The conference agenda is being developed in collaboration with the newly announced Yotta Advisory Board, which includes senior leaders from organizations spanning AI, cloud, energy, finance and infrastructure, including OpenAI, Oracle, Schneider Electric, KKR, Xcel Energy, GEICO and the Electric Power Research Institute (EPRI). This cross-sector guidance ensures the program reflects how the industry actually operates, as an interconnected system where decisions around power, compute, capital, design and policy are inseparable.

The 2026 agenda will focus on the most urgent challenges shaping the AI infrastructure era. Key themes include AI infrastructure and compute density, power generation and grid interconnection, capital formation and investment risk, design and operational resilience, and policy and public-private alignment. Together, these topics offer a market-driven view of how digital infrastructure must be designed, financed and operated to support AI at scale.

With an anticipated 6,000+ AI and digital infrastructure leaders in attendance, Yotta 2026 will feature a significantly expanded indoor and outdoor expo hall, curated conference programming and immersive networking experiences. Hosted at Caesars Forum, the event is designed to support both strategic planning and hands-on execution, creating space for collaboration across the entire infrastructure value chain.

Early registration is now open, with passes starting at $795 and discounted rates available for early registrants. As AI continues to drive unprecedented infrastructure demand, Yotta 2026 positions itself as a critical forum for the conversations and decisions shaping the future of compute, power and digital infrastructure.

To learn more or register, visit yotta-event.com.

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ESI Total Fuel Management is expanding its Hydrotreated Vegetable Oil (HVO/R99) services to help data centers and other mission-critical facilities advance their sustainability strategies without sacrificing reliability. With this move, the company is deepening its role as a long-term partner for operators pursuing Net-Zero 2030 goals in an increasingly demanding digital infrastructure landscape.​

Advancing data center sustainability

Across the data center industry, operators are under growing pressure to reduce the environmental impact of standby power systems while maintaining assured uptime. ESI draws on decades of experience in fuel lifecycle management, having previously championed ultra-low sulfur diesel adoption, to guide customers through the transition to renewable diesel.​

To support practical and scalable adoption, ESI has established the first secure HVO/R99 supply chain on the East Coast, giving operators dependable access to renewable diesel as part of a long-term fuel strategy. This infrastructure enables data center and mission-critical operators to integrate HVO into their operations as a realistic step toward emissions reduction and operational continuity.​

Renewable diesel performance benefits

HVO/R99 can reduce carbon emissions by up to 90 percent compared with conventional diesel, while maintaining strong cold-weather performance and long-term fuel stability suited to standby generator storage cycles. As a drop-in fuel, it requires no modifications to existing infrastructure and directly supports Scope 1 emissions reduction initiatives.​

Integrated lifecycle approach

Within ESI’s broader portfolio, HVO is one component of a comprehensive approach encompassing fuel quality, monitoring, compliance, and system resiliency.

“Sustainability goals do not replace the need for resiliency, and they can be complementary,” said Alex Marcus, CEO and president of ESI Total Fuel Management. “Our focus is helping customers implement solutions that are technically sound and operationally proven. By managing the entire fuel lifecycle, from supply and storage to monitoring, consumption, and pollution control, we help customers reduce environmental impact while maintaining resilient, mission-critical systems.”​

Supporting Net-Zero 2030 objectives

For data center operators pursuing Net-Zero 2030, ESI provides the engineering expertise, infrastructure, and operational support needed to move beyond isolated initiatives toward coordinated, data-driven fuel strategies. This combination of renewable fuel options and full lifecycle management helps strengthen both sustainability and resiliency for mission-critical environments.​

Read the full release here.

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Duos Technologies Group Inc. (Nasdaq: DUOT), through its operating subsidiary Duos Edge AI, Inc., has deployed another patented modular Edge Data Center (EDC) in Hereford, Texas. The facility was deployed in partnership with Hereford Independent School District (Hereford ISD) and marks another milestone in Duos Edge AI’s mission to deliver localized, low-latency compute infrastructure that supports education and community technology growth across rural and underserved markets.

​”We are thrilled to partner with Duos Edge AI to bring a state-of-the-art Edge Data Center directly to our Administration location in Hereford ISD,” said Dr. Ralph Carter, Superintendent of Hereford Independent School District. “This innovative deployment will dramatically enhance our digital infrastructure, providing low-latency access to advanced computing resources that will empower our teachers with cutting-edge tools, enable real-time AI applications in the classroom, and ensure faster, more reliable connectivity for our students and staff.​

Each modular facility is designed for rapid 90-day deployment and delivers scalable, high-performance computing power with enterprise-grade security controls, including third-party SOC 2 Type II certification under AICPA standards.

​Duos Edge AI’s patented modular infrastructure incorporates a U.S. patent for an Entryway for a Modular Data Center (Patent No. US 12,404,690 B1), providing customers with secure, compliant, and differentiated Edge infrastructure that operates exclusively on on-grid power and requires no water for cooling. Duos Edge AI continues to expand nationwide, capitalizing on growing demand for localized compute, AI enablement, and resilient digital infrastructure across underserved and high-growth markets.

“Each deployment strengthens our ability to scale a repeatable, capital-efficient edge infrastructure platform,” said Doug Recker, President of Duos and Founder of Duos Edge AI. “Our patented, SOC 2 Type II-audited EDCs are purpose-built to meet real customer demand for secure, low-latency computing while supporting long-term revenue growth and disciplined execution across our targeted markets.”

To learn more about Duos Edge AI, visit www.duosedge.ai.

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PowerBridge’s mission has always centered on developing powered, gigawatt-scale data center campuses that combine energy infrastructure and digital infrastructure. As demand for gigawatt-scale campuses accelerates across the U.S., the company continues to build a team designed to meet that movement. The appointment of Debra L. Raggio as Executive Vice President and General Counsel marks an important milestone in that journey.

Debra joins PowerBridge at a time of significant growth, as the convergence of energy, power, and digital infrastructure continues to reshape how large-scale data center campuses are developed. With more than 40 years of experience in the energy industry, as well as digital infrastructure experience, specializing in natural gas, electricity, and data center markets, she brings deep regulatory and commercial expertise to the role. At PowerBridge, she will oversee legal, regulatory, environmental, government affairs, and communications, while serving as a strategic advisor to Founder and CEO Alex Hernandez and the Board.

Throughout her career, Debra has been a leading national voice in shaping regulatory frameworks across energy and digital infrastructure sectors in the United States, with experience spanning power markets such as PJM and ERCOT. Her background includes private practice at Baker Botts and executive leadership roles at major energy companies, including Talen Energy Corp.

Debra was also a founding management team member of Cumulus Data LLC, a multi-gigawatt data center campus co-located with the Susquehanna Nuclear generation station in Pennsylvania. Her regulatory, commercial, and legal leadership helped enable the development and execution of the project, culminating in its sale to Amazon in 2024. Today, that campus is the foundation for an approximately $20 billion investment supporting the continued expansion of Amazon Web Services.

That experience directly aligns with PowerBridge’s approach to combining power generation, electric campus infrastructure, pad-ready data center sites, and fiber infrastructure to serve growing data center demand while adding needed power supply to regional electric grids. Reflecting on her decision to join the company, Debra shared, “I am honored to be joining CEO Alex Hernandez and the team of executives I worked with in the formation and execution of the Cumulus Data Center Campus. I look forward to helping PowerBridge become the country’s premier powered-campus development company at multi-gigawatt scale, combining power generation, electric campus infrastructure, pad-ready data center sites, and fiber infrastructure to serve the growing need for data centers, while adding needed power supply to the electric grids, including PJM and ERCOT.”

Debra’s appointment reinforces PowerBridge’s focus on regulatory leadership, strategic execution, and disciplined growth as the company advances powered, gigawatt-scale data center campuses across the United States.

Click here to read the full press release.

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Spain’s digital infrastructure landscape is entering a pivotal new phase, and Nostrum Data Centers is positioning itself at the center of that transformation. By engaging global real estate and data center advisory firm JLL, Nostrum is accelerating the development of a next-generation, AI-ready data center platform designed to support Spain’s emergence as a major connectivity hub for Europe and beyond.

Building the Foundation for an AI-Driven Future

Nostrum Data Centers, the digital infrastructure division of Nostrum Group, is developing a portfolio of sustainable, high-performance data centers purpose-built for artificial intelligence, cloud computing, and high-density workloads. In December 2025, the company announced that its data center assets will be available in 2027, with land and power already secured across all sites, an increasingly rare advantage in today’s constrained infrastructure markets.

The platform includes 500 MW of secured IT capacity, with an additional 300 MW planned for future expansion, bringing total planned development to 800 MW across Spain. This scale positions Nostrum as one of the country’s most ambitious digital infrastructure developers at a time when demand for compute capacity is accelerating across Europe.

Strategic Locations, Connected by Design

Nostrum’s six data center developments are strategically distributed throughout Spain to capitalize on existing power availability, fiber routes, internet exchanges, and subsea connectivity. This geographic diversity allows customers to deploy capacity where it best supports latency-sensitive workloads, redundancy requirements, and long-term growth strategies.

Equally central to Nostrum’s approach is sustainability. Each facility is designed in alignment with the United Nations Sustainable Development Goals (SDGs), delivering industry-leading efficiency metrics, including a Power Usage Effectiveness (PUE) of 1.1 and zero Water Usage Effectiveness (WUE), eliminating water consumption for cooling.

Why JLL? And Why Now?

To support this next phase of growth, Nostrum has engaged JLL to strengthen its go-to-market strategy and customer engagement efforts. JLL brings deep global experience in data center advisory, site selection, and market positioning, helping operators translate technical infrastructure into compelling value for hyperscalers, enterprises, and AI-driven tenants.

“Nostrum Data Centers has a long-term vision for balancing innovation and sustainability. We offer our customers speed to market and scalability throughout our various locations in Spain, all while leading a green revolution to ensure development is done the right way as we position Spain as the next connectivity hub,” says Gabriel Nebreda, Chief Executive Officer at Nostrum Group. “We are confident that our engagement with JLL will be able to help us bolster our efforts and achieve our long-term vision.”

From JLL’s perspective, Spain presents a unique convergence of advantages.

“Spain has a unique market position with its access to robust power infrastructure, its proximity to Points of Presence (PoPs), internet exchanges, subsea connectivity, and being one of the lowest total cost of ownership (TCO) markets,” says Jason Bell, JLL Senior Vice President of Data Center and Technology Services in North America. “JLL is excited to be working with Nostrum Data Centers, providing our expertise and guidance to support their quest to be a leading data center platform in Spain, as well as position Spain as the next connectivity hub in Europe and beyond.”

Advancing Spain’s Role in the Global Digital Economy

With JLL’s support, Nostrum Data Centers is further refining its strategy to meet the technical and operational demands of AI and high-density computing without compromising on efficiency or sustainability. The result is a platform designed not just to meet today’s requirements, but to anticipate what the next decade of digital infrastructure will demand.

As hyperscalers, AI developers, and global enterprises look for scalable, energy-efficient alternatives to traditional European hubs, Spain, and Nostrum Data Centers, are increasingly part of the conversation.

Learn more about Nostrum Data Centers: www.thenostrumgroup.com/nostrum-data-centres

Click here to read the press release!

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Duos Technologies Group Inc. (Nasdaq: DUOT), through its operating subsidiary Duos Edge AI, Inc, has deployed a new Edge Data Center (EDC) in Abilene, Texas, in collaboration with Region 14 Education Service Center (ESC).​ This deployment expands Duos Edge AI’s presence in Texas while bringing advanced digital infrastructure to support K-12 education, healthcare, workforce development, and local businesses across West Texas.​

This installation builds on Duos Edge AI’s recent Texas deployments in Amarillo (Region 16), Waco (Region 12), and Victoria (Region 3), supporting a broader strategy to deploy edge computing solutions tailored to education, healthcare, and enterprise needs.​

“We are excited to partner with Region 14 ESC to bring cutting-edge technology to Abilene and West Texas, bringing a carrier neutral colocation facility to the market while empowering educators and communities with the tools they need to thrive in a digital world,” said Doug Recker, President of Duos and Founder of Duos Edge AI.​ “This EDC represents our commitment to fostering innovation and economic growth in regions that have historically faced connectivity challenges.”

The Abilene EDC will serve as a local carrier-neutral colocation facility and computing hub, delivering enhanced bandwidth, secure data processing, and low-latency AI capabilities to more than 40 school districts and charter schools across an 11-county region spanning over 13,000 square miles.​

Chris Wigington, Executive Director for Region 14 ESC, added, “Collaborating with Duos Edge AI allows us to elevate the technological capabilities of our schools and partners, ensuring equitable access to high-speed computing and AI resources. This data center will be a game-changer for student learning, teacher development, and regional collaboration.”

By locating the data center at Region 14 ESC, the partnership aims to help bridge digital divides in rural and underserved communities by enabling faster access to educational tools, cloud services, and AI-driven applications, while reducing reliance on distant centralized data centers.​

The EDC is expected to be fully operational in early 2026, with plans for a launch event at Region 14 ESC’s headquarters in Abilene.​

To learn more about Duos Edge AI, visit www.duosedge.ai.

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Originally posted on 1547Realty.

AI is changing what infrastructure needs to do. It is no longer enough to provide power cooling and a basic network connection. Modern AI and high performance computing workloads depend on constant access to large data sets and fast communication between systems. That makes interconnection an essential part of the environment that supports them.

Traditional cloud environments were not built for dense GPU clusters or latency sensitive applications. This has helped drive the rise of neocloud providers, which focus on specialized compute and rely on data centers for the physical setting in which it operates.

Industry reporting from RCR Wireless notes that many neocloud providers choose to colocate in established facilities instead of building new data centers. This gives them faster speed to market and direct access to network ecosystems that would take years to recreate on their own. In this context data centers with strong connectivity play a central role.

1547 operates facilities that combine space and power with the network access needed for AI and neocloud deployments. These environments allow operators to place infrastructure where it can perform as intended.

The Shift from Cloud First to Cloud Right

For many years, the default approach for new applications was simple. Put it in the cloud. That cloud first mindset is now giving way to a cloud-right strategy. The question is no longer only whether something can run in the cloud, but whether it should.

AI and high-performance workloads often need to run close to users, to data sources, or along specific network routes. They require predictable latency and steady throughput. When model training or inference spans many GPUs across different clusters, even small delays can affect performance and cost.

Analysts have observed that organizations are matching each workload to the environment that fits it best. As RTInsights highlights, not every workload performs well in a single centralized cloud. Some applications remain in hyperscale environments. Others move to edge sites, private clouds or colocation facilities that offer greater control over performance. Neocloud operators support this shift by offering GPU focused infrastructure from locations chosen for both efficiency and access to network routes.

To do that, they need more than space. They need carriers, cloud on-ramps, internet exchanges and private connection options. They need a fabric that lets them move data efficiently between customers, partners, and providers. Connectivity within the facility brings these elements together and supports cloud right placement.

1547 facilities support this shift by giving operators access to diverse networks in key markets. These environments allow AI workloads to sit where they perform best while staying connected to the wider ecosystem.

To continue reading, please click here.

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A new development on the Jersey Shore is signaling a shift in how and where AI infrastructure will grow. A subsea cable landing station has announced plans for a data hall built specifically for AI, complete with liquid-cooled GPU clusters and an advertised PUE of 1.25. That number reflects a well-designed facility, but it highlights an emerging reality. PUE only tells us how much power reaches the IT load. It tells us nothing about how much work that power actually produces.

As more “AI-ready” landing stations come online, the industry is beginning to move beyond energy efficiency alone and toward compute productivity. The question is no longer just how much power a facility uses, but how much useful compute it generates per megawatt. That is the core of Power Compute Effectiveness, PCE. When high-density AI hardware is placed at the exact point where global traffic enters a continent, PCE becomes far more relevant than PUE.

To understand why this matters, it helps to look at the role subsea landing stations play. These are the locations where the massive internet cables from overseas come ashore. They carry banking records, streaming platforms, enterprise applications, gaming traffic, and government communications. Most people never notice them, yet they are the physical beginning of the global internet.

For years, large data centers moved inland, following cheaper land and more available power. But as AI shifts from training to real-time inference, location again influences performance. Some AI workloads benefit from sitting directly on the network path instead of hundreds of miles away. This is why placing AI hardware at a cable landing station is suddenly becoming not just possible, but strategic.

A familiar example is Netflix. When millions of viewers press Play, the platform makes moment-to-moment decisions about resolution, bitrate, and content delivery paths. These decisions happen faster and more accurately when the intelligence sits closer to the traffic itself. Moving that logic to the cable landing reduces distance, delays, and potential bottlenecks. The result is a smoother user experience.

Governments have their own motivations. Many countries regulate which types of data can leave their borders. This concept, often called sovereignty, simply means that certain information must stay within the nation’s control. Placing AI infrastructure at the point where international traffic enters the country gives agencies the ability to analyze, enforce, and protect sensitive data without letting it cross a boundary.

This trend also exposes a challenge. High-density AI hardware produces far more heat than traditional servers. Most legacy facilities, especially multi-tenant carrier hotels in large cities, were never built to support liquid cooling, reinforced floors, or the weight of modern GPU racks. Purpose-built coastal sites are beginning to fill this gap.

And here is the real eye-opener. Two facilities can each draw 10 megawatts, yet one may produce twice the compute of the other. PUE will give both of them the same high efficiency score because it cannot see the difference in output. Their actual productivity, and even their revenue potential, could be worlds apart.

PCE and ROIP, Return on Invested Power, expose that difference immediately. PCE reveals how much compute is produced per watt, and ROIP shows the financial return on that power. These metrics are quickly becoming essential in AI-era build strategies, and investors and boards are beginning to incorporate them into their decision frameworks.

What is happening at these coastal sites is the early sign of a new class of data center. High density. Advanced cooling. Strategic placement at global entry points for digital traffic. Smaller footprints but far higher productivity per square foot.

The industry will increasingly judge facilities not by how much power they receive, but by how effectively they turn that power into intelligence. That shift is already underway, and the emergence of AI-ready landing stations is the clearest signal yet that compute productivity will guide the next generation of infrastructure.

# # #

About the Author

Paul Quigley is the former President and current Chief Strategic Partnership Officer of Airsys Cooling Technologies, and a global advocate for high density, energy efficient data center design. With more than three decades in HVAC and mission critical cooling, he focuses on practical solutions that connect energy stewardship with real world compute performance. Paul writes and speaks internationally about PCE, ROIP, and the future of data center health in the age of AI.

The post AI Is Moving to the Water’s Edge, and It Changes Everything appeared first on Data Center POST.

Duos Technologies Group Inc. (Nasdaq: DUOT), through its operating subsidiary Duos Edge AI, Inc, has expanded its Edge Data Center (EDC) infrastructure beyond Texas. The company has deployed its first EDC serving the Greater Chicagoland Area and added two carrier-neutral EDCs in Lubbock, Texas.

This milestone marks a significant step in Duos Edge AI’s national growth strategy as the company broadens its geographic footprint into the Midwest. The expansion builds on strong momentum across multiple Texas markets, where Duos Edge AI has deployed EDCs supporting Education, Healthcare, and Service Providers in Amarillo, Victoria, Waco, Dumas, and Corpus Christi.

​Each modular facility is designed for rapid 90-day deployment and delivers scalable, high-performance computing power with enterprise-grade security controls, including third-party SOC 2 Type II certification under AICPA standards.

“Expanding within Texas and into the Illinois market is a meaningful milestone that reflects both execution discipline and rising demand for our Edge Data Center,” said Doug Recker, President of Duos and Founder of Duos Edge AI. “We are building a scalable, repeatable deployment model that supports education, carriers, and enterprises with secure, low-latency infrastructure. These expansions align with our growth strategy and reinforce our confidence in continued momentum as we execute against our long-term guidance.”

The Chicagoland deployment represents the first of multiple planned Midwest installations, while the two carrier-neutral EDCs in Lubbock emphasize the company’s focus on service provider demands. Duos Edge AI’s patented modular infrastructure incorporates a U.S. patent for an Entryway for a Modular Data Center (Patent No. US 12,404,690 B1), providing customers with secure, compliant, and differentiated Edge infrastructure.

Duos Edge AI continues to expand nationwide, capitalizing on growing demand for carrier-neutral facilities with localized compute, AI enablement, and resilient digital infrastructure across underserved and high-growth markets.

To learn more about Duos Edge AI, visit www.duosedge.ai.

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As data centers evolve to support AI, edge computing, and high-density cloud architectures, the challenge is no longer just maintaining an optimal power usage effectiveness (PUE), it is about achieving thermal reliability with unprecedented compute loads. Direct-to-chip liquid cooling continues to push the envelope on heat transfer performance, but one underestimated element in overall system reliability is the material composition of the fluid conveyance network itself. The hoses and fittings that transport coolant through these systems operate in extreme thermal and chemical environments, and their design directly influences uptime, maintenance intervals, and total cost of ownership.

Why Material Selection Matters

At its core, a liquid cooling system is only as reliable as its weakest component. If hoses, fittings, or seals fail due to poor material compatibility, the result could be leaks, contamination, or shortened system life, leading to downtime and costly remediation. Rubber, and rubber-like, materials are critical in hose assemblies, as they must balance flexibility for installation and serviceability with long-term resistance to temperature, pressure, permeation, coolant and coolant additives.

The challenge lies in the fact that not all rubbers, or rubber-like materials, are created equal. Each formulation is a complex recipe of polymers, plasticizers, fillers, and curing agents designed to deliver specific performance characteristics. The wrong selection can lead to issues such as fluid permeation, premature aging, or contamination of the coolant. In mission-critical environments like data centers, where even minor disruptions are unacceptable, this risk is magnified.

Temperature and Chemical Compatibility

Although data center cooling systems typically operate at temperatures between 45°C (113°F) and 65°C (149°F), sometimes reaching 100°C (212°F), those ranges can stress certain materials. Nitrile rubber, for example, performs well in oil-based environments but ages quickly in water-glycol systems, especially at higher temperatures. This can cause hardening, cracking, or coolant contamination.

By contrast, ethylene propylene diene monomer (EPDM) rubber has excellent resistance to water, glycols, and the additives commonly used in data center coolants, such as corrosion inhibitors and biocides. EPDM maintains its properties across the required operating range, making it a proven choice for direct-to-chip applications.

However, not all EPDM is the same. Developing the right EPDM for the application demands a deep understanding of polymer chemistry, filler interactions, and process control to precisely balance flexibility, heat resistance, and long-term stability.

Additionally, two curing processes, sulfur-cured and peroxide-cured, produce different performance outcomes. Sulfur-cured EPDM, while widely used, introduces zinc ions during the curing process. When exposed to deionized water, these ions can leach into the coolant, causing contamination and potentially degrading system performance. Peroxide-cured EPDM avoids this issue, offering higher temperature resistance, lower permeation rates, and greater chemical stability, making it the superior choice for modern liquid cooling.

Even among peroxide-cured EPDM compounds, long term performance is not uniform. While the cure system defines the crosslink chemistry, other formulation choices, particularly filler selection and dispersion, can influence how the material performs over time.

The use of fillers and additives is common in rubber compounding. These ingredients are often selected to control cost, improve processability, or achieve certain performance characteristics such as flame resistance, strength, or flexibility.

The challenge is that some filler systems perform well during initial qualification but are not optimized for long-term exposures faced in the operating environment. Certain fillers or processing aids can slowly migrate over time, introducing extractables into the coolant or subtly altering elastomer properties. For data center applications, EPDM compounds must therefore be engineered with a focus on long term stability, reinforcing why EPDM should not be treated as a commodity material in critical cooling systems.

Risks of Non-Compatible Materials

Material incompatibility can have several cascading effects:

• Contamination – Non-compatible materials can leach extractables into the coolant, leading to discoloration, chemical imbalance, and reduced thermal efficiency.
• Permeation – Some rubbers allow fluid to slowly migrate through the hose walls, causing coolant loss or altering the fluid mixture over time.
• Premature Failure – Elevated temperatures can accelerate aging, leading to cracking, swelling, or loss of mechanical strength.
• Leakage – Rubber under compression may deform over time, jeopardizing seal integrity if not properly formulated for resistance to compression set and tear.

In a recent two-week aging test at 80°C using a water-glycol coolant, hoses made of nitrile and sulfur-cured EPDM showed visible discoloration of the coolant, indicating leaching and breakdown of the material. Peroxide-cured EPDM, on the other hand, maintained stability, demonstrating its compatibility and reliability in long-term data center applications.

The Gates Approach

Drawing on lessons from mission critical industries that have managed thermal challenges for decades, Gates engineers apply material science rigor to the design of liquid cooling hoses for data center applications.

Rather than relying solely on initial material ratings or short-term qualification criteria, Gates begins by tailoring compound design to the operating environment. This includes deliberate control of polymer selection, filler systems, and cure chemistry to manage long term aging behavior, extractables, permeation, and retention of mechanical properties over time in high purity coolant systems.

Compounds are validated through extended aging and immersion testing that reflects real operating conditions, including exposure to heat, deionized water, and water-glycol coolants. This allows potential material changes to be identified and addressed during development, before installation in the field.

This material science driven process is applied across Gates liquid cooling platforms, including the Data Master, Data Master MegaFlex, and newly released Data Master Eco product lines. By engineering for long term stability rather than only initial compliance, Gates designs hose solutions intended to support reliable operation, predictable maintenance intervals, and extended service life in direct-to-chip liquid cooled data center environments.

Looking Ahead

As data centers continue to scale, thermal management solutions must adapt in parallel. Advanced architectures, higher rack densities, and growing environmental regulations all point to a future where liquid cooling is standard. In this environment, material selection is no longer a secondary consideration; it is foundational to system reliability.

Operators who prioritize material compatibility in fluid conveyance lines will benefit from longer service intervals, improved coolant stability, and reduced risk of downtime. In other words, the proper rubber formulation doesn’t just move fluid, it moves the industry forward.

At Gates, sustainable, high-performance cooling begins with the details. By focusing on the science of materials, we help ensure that data center operators can confidently deploy liquid cooling systems designed for the challenges of today and the innovations of tomorrow.

# # #

About the Author

Chad Chapman is a Mechanical Engineer with over 20 years of experience in the fluid power industry. He currently serves as a Product Application Engineering Manager at Gates, where he leads a team that provides technical guidance, recommendations, and innovative solutions to customers utilizing Gates products and services.

Driven by a passion for problem-solving, Chad thrives on collaborating with customers to understand their unique challenges and deliver solutions that optimize performance. He is energized by learning about new applications and technologies, especially where insights can be shared across industries. At Gates, he has been exploring the emerging field of direct-to-chip liquid cooling, an exciting extension of his deep expertise in thermal management. The rapid advancements in IT technology and AI have made his journey an inspiring and rewarding learning experience.

The post The Critical Role of Material Selection in Direct-to-Chip Liquid Cooling appeared first on Data Center POST.

The 2025 INCOMPAS Show, held November 2–4 at the JW Marriott and Tampa Marriott Water Street in Tampa, Florida, brought together more than 3,000 leaders across communications, broadband, fiber, and technology sectors to explore the evolving landscape of connectivity and competition. One of the most influential gatherings in the U.S. communications ecosystem, the event provided a platform for senior executives, policymakers, and innovators to align on strategies shaping the future of broadband deployment, infrastructure investment, and digital transformation.

This year’s theme of collaboration and convergence set the tone for a comprehensive agenda that highlighted how technology, policy, and innovation are coming together to expand connectivity and bridge the digital divide. Across three days of panels, workshops, and executive-level discussions, speakers addressed the accelerating impact of AI, automation, and public-private partnerships on both network operations and competitive strategy.

The Convergence Era: Policy, Infrastructure, and AI

The opening remarks emphasized the urgency of convergence in today’s communications landscape. Chip Pickering, CEO of INCOMPAS, framed the event with a focus on consolidation, critical infrastructure, and the growing interdependence of networks, power, and policy.

That theme carried into high-profile sessions featuring executives from Verizon, Lumen Technologies, and Bluebird Fiber, where speakers examined how fiber density, cloud connectivity, and edge infrastructure are reshaping both network design and M&A strategy. Panels such as Future-Proofing the Network and Strategic Convergence: How Wireline-Wireless Integration Is Impacting M&A highlighted how capacity planning and integration are now central drivers of transaction value.

AI-driven transformation emerged as a defining force throughout the agenda. In the session Powering Intelligence: The Convergence of Energy, Networks, and AI Infrastructure, leaders including Jeff Uphues, CEO, DC BLOX and Dan Davis, CEO and Co-Founder, Arcadian Infracom explored the mounting energy demands of AI workloads and the need for resilient, scalable infrastructure. Discussions emphasized that AI is no longer an overlay, but a foundational consideration in network architecture, power strategy, and long-term investment planning.

Cybersecurity also took center stage, with experts from Granite Telecommunications, UNITEL, Axcent Networks, and Verizon Partner Solutions outlining how AI is being deployed to detect threats, automate responses, and protect increasingly complex telecom environments.

Policy at the Center of Broadband Expansion

Policy reform remained a cornerstone of the INCOMPAS agenda. Sessions focused on the future of the Universal Service Fund, broadband permitting reform, and federal regulatory alignment drew strong engagement from both providers and policymakers. Led by INCOMPAS policy leadership and legal experts from firms including Morgan Lewis, Cooley, Nelson Mullins Riley & Scarborough LLP, and JSI, these discussions reinforced the critical role of permitting, spectrum access, and funding mechanisms such as BEAD in accelerating equitable broadband deployment nationwide.

Modern Marketing and the Human Element

Beyond infrastructure and policy, the Marketing Workshop Series delivered some of the show’s most actionable insights. The opening session, Marketing’s New Blueprint: Balancing AI, Automation, and Authenticity, featured Laura Johns, Founder and CEO of The Business Growers, and Joy Milkowski, Partner at Access Marketing Company. Together, they explored how communications and technology companies can leverage automation and AI tools without losing the authenticity and strategic clarity required to build trust and drive revenue.

The discussion reinforced that AI should function as a strategic enabler rather than a replacement for human insight. Follow-on workshops expanded on this theme, with sessions focused on revenue-driven AI strategy, practical prompt frameworks, and marketing automation systems designed to align sales and marketing teams while supporting scalable growth.

Networking, Partnerships, and Industry Momentum

As always, the INCOMPAS Show excelled as a venue for relationship-building and deal-making. The Buyers Forum and Deal Center facilitated high-value, pre-scheduled meetings, while exhibit hall programming and networking events fostered collaboration across fiber providers, technology vendors, and service partners.

Workforce development, sustainability, and inclusion also emerged as shared priorities. Speakers stressed the need to build talent pipelines capable of supporting AI-driven networks while ensuring that digital transformation delivers measurable benefits across communities.

The Road Ahead

The 2025 INCOMPAS Show made one thing clear: the future of communications will be defined by integration, collaboration, and adaptability. From AI-powered networks and evolving policy frameworks to authentic marketing and workforce readiness, the conversations in Tampa reflected an industry actively shaping its next chapter.

As the ecosystem looks toward 2026, the momentum from INCOMPAS reinforces a collective commitment to closing connectivity gaps, modernizing infrastructure, and aligning innovation with opportunity.

To learn more about INCOMPAS and upcoming events, visit www.incompas.org and www.show.incompas.org.

The post Inside the 2025 INCOMPAS Show and the Convergence of Policy Infrastructure and AI appeared first on Data Center POST.

Individual data centers are now being planned with power loads that exceed those of America’s largest nuclear plants. This is happening for the first time in U.S. history, and it’s reshaping how and where AI infrastructure can realistically be built.

The scale of demand is like nothing we’ve seen before, and developers who once focused on site access, tax incentives, and interconnection speed are now having to evaluate something far more fundamental. They’re assessing whether the grid can deliver the gigawatts of reliable capacity that AI truly requires. This shift is redrawing the map of U.S. data center development, simply because traditional markets are straining under this new, unprecedented load. As a result, new regions are emerging as contenders.

There’s no shortage of opinions on which states are best positioned to capitalize on this moment. Environmentally, states like Texas, Montana, South Dakota, and Nebraska offer low-carbon power, minimal water stress, and long-term sustainability advantages that could help hyperscalers move toward net-zero goals. But development doesn’t always follow ideals. It follows infrastructure. And today, project velocity is rapidly accelerating in states with existing fiber, redundant grid access, fast permitting, and an experienced labor pool, not just green credentials.

The Power Constraint Reality

Transmission and generation limitations have become the number-one barrier to new development. Utilities that once welcomed projects are now warning developers about decade-long delays. In San Antonio, for example, utility officials are telling data center companies that additional capacity may not be available until 2032.

Five years ago, a typical large data center might have drawn 20 to 50 megawatts. Today, AI-focused facilities are routinely planned at 300 megawatts or more; in theory, that’s enough power to sustain a small city. The U.S. currently has 40 gigawatts of operational data center capacity, up from just 26 gigawatts at the end of 2023, and another 24 gigawatts is under construction. In other words, total capacity is set to double in roughly two years.

At Industrial Info Resources, we’re tracking $3.3 trillion in global data center infrastructure investments, including $1 trillion announced in the U.S. in just the past nine months. Yet much of the transmission system these projects rely on is more than 40 years old, strained, and unable to accommodate this surge without major upgrades.

Every data center project is now, ultimately, a power project.

Why Traditional Hotspots Are Reaching Capacity

States like Texas, Ohio, Georgia, and Illinois rose to prominence because of low-cost electricity, abundant natural gas, deep labor pools, and cooperative regulatory environments. But even these markets are showing signs of saturation. Interconnection queues are backed up, delivery timelines are slipping, and developers who once viewed these areas as infinitely scalable are reassessing their options.

The PJM Interconnection, a regional transmission organization covering 13 states, recorded an 800% spike in wholesale capacity prices in its latest auction. The surge was driven by tightening reserve margins and insufficient baseload additions.

Still, not all leading markets are losing momentum; the reality is much more nuanced. Let me explain:

1) Virginia Still Dominates, Here’s Why

Roughly 70% of the world’s internet traffic flows through Loudoun County. That alone keeps Northern Virginia at the top of the list. Add unmatched fiber density, low latency access to East Coast population centers, $50 billion in Dominion Energy grid upgrades, and powerful tax incentives, and one could argue that Virginia remains the most competitive and strategically essential data center market in the world.

2) Despite the Circumstances, Texas Remains a Growth Engine

Texas offers massive wind, solar, and battery energy storage growth, abundant natural gas, and a regulatory environment that supports rapid load growth. ERCOT’s structure allows for faster interconnections, and the state is fast-tracking permits for behind-the-meter natural gas plants to bridge developers until zero-carbon grid supply scales. Again, one could argue that this combination keeps Texas squarely in the number-one or number-two position for AI capacity additions.

3) And the Next Tier of High-Velocity Markets

Georgia continues to attract hyperscale interest with low power prices, tax credits, and significant fiber expansion across the Southeast. This draws development into Alabama and Florida as well. Other hot markets remain in Pennsylvania, Utah, Arizona, Illinois, and Ohio due to their mix of low-cost power, fiber proximity, and access to skilled labor.

The Behind-the-Meter Power Trend

With grid availability tightening, more operators are turning to behind-the-meter solutions such as natural gas fuel cells, turbines, and reciprocating engines. These systems provide bridge power while utilities work through multi-year transmission expansions, and states that permit these assets quickly have a clear advantage.

Even operators committed to 100% renewable energy now recognize the need for reliable natural gas backup to maintain uptime and support local grid stability. A Duke University study found that 40 demand-curtailment events could enable 75 gigawatts of additional data center capacity without requiring new transmission.

The study illustrates a clear reality: flexible load management and temporary curtailment will become essential tools for enabling the next wave of AI-driven growth.

What Emerging States Need to Win

For states seeking to break into the market, the fundamentals matter most. This looks like lower-cost electricity, abundant natural gas, rural land with favorable tax structures, and large parcels suitable for multi-hundred-megawatt campuses.

Arizona is a great example. The state is developing a new natural gas pipeline from the Permian Basin, specifically to support its expanding data center ecosystem. But not all announced projects move forward. Constraints in interconnection studies, available power, or realistic timelines cause many proposals to stall. Tracking approved projects versus announced projects is essential to understanding true market momentum, especially in an industry where nondisclosure agreements tend to limit visibility.

The Reliability Crisis and the Path Forward

From roughly 2014 to 2024, U.S. electricity demand was essentially flat. Today, it is growing about 2% annually, driven largely by AI. The challenge is that renewable energy has expanded far faster than the dispatchable baseload required to support it, widening the reliability gap.

Meeting future AI needs will require a multi-pronged strategy that entails new natural gas plants, delayed coal retirements over the next five to six years, expanded battery storage, and eventually next-generation nuclear. Several major technology companies are already investing in small modular reactors as part of their long-term portfolios.

Data centers themselves can help stabilize the grid through battery storage deployments, demand-response participation, and flexible load practices. But long-term success ultimately depends on whether states can modernize transmission infrastructure, streamline interconnection processes, and commit to realistic baseload planning.

The states that move decisively to address these constraints, and align their infrastructure with the power-first reality of AI, will capture an outsized share of the coming investment. AI-driven demand is not slowing, and the next chapter of America’s energy and technology landscape will be written by those preparing for this moment now.

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About the Author

Shane Mullins brings over 30 years of experience in energy market intelligence and database management to his role at Industrial Info Resources. He specializes in product development for energy equipment and service providers, leveraging decades of industry insight to help clients make informed, data-driven decisions in a rapidly evolving energy landscape.

The post The Factors That Are Actually Determining the Whereabouts of Hyperscale Data Center Growth appeared first on Data Center POST.

APR Energy, a global leader in fast-track power generation solutions, has secured a $300 million revolving line of credit from Wingspire Capital to support continued growth. The expanded facility doubles the revolver Wingspire Capital provided earlier this year, and APR will use proceeds for capital expenditures, maintenance, equipment refurbishment, daily operations, and additional liquidity for growth.

“Demand for fast, reliable power continues to accelerate, particularly from data center customers. This expanded revolver from Wingspire Capital supports our ability to expand our fleet, scale quickly, and deliver power on the timelines our data center and infrastructure customers require,” said Chuck Ferry, Executive Chairman and Chief Executive Officer of APR Energy.

As data center demand grows and grid buildouts take longer, APR helps customers accelerate timelines by deploying large-scale projects in weeks instead of years, while also supporting longer-term behind-the-meter and utility-scale needs.

Wingspire Capital, the Administrative Agent on the facility, expanded its partnership with APR alongside Great Rock Capital and Siena Lending Group.

“This upsized revolver is a wonderful example of the close relationship Wingspire Capital maintains with borrowers in its portfolio. We learn their business and understand their capital needs so that we can provide the right solutions at the right time to support their business strategy,” John Olsen, Managing Director at Wingspire Capital, said.

APR Energy provides rapidly deployable bridging and permanent power for mission-critical customers, including data center operators and utilities. This upsized revolver supports APR’s ability to respond quickly to customer needs while maintaining the flexibility to execute at scale.

To learn more about APR Energy, visit www.aprenergy.com.

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As data centers push toward terabit-scale bandwidth, legacy copper interconnects are hitting their limit or as the industry calls it, the “copper cliff.” Traditional copper cabling, once the workhorse of short-reach connectivity, has become too thick, too inflexible, and too short to keep pace with the scale of xPU bandwidth growth in the data center. On the other hand, optical solutions will work but are saddled with the “optical penalty,” that includes power-hungry and expensive electrical and optical components, manufacturing design complexity,  latency challenges and more importantly, reliability issues after deployment.

With performance, cost, and operational downsides increasing for both copper and optical interconnect, network operators are looking beyond the old interconnect paradigm and toward more scalable options to scale at the pace of the next generation AI clusters in data centers.

Enter e-Tube: the industry’s third interconnect option.

e-Tube Technology is a scalable multi-terabit interconnect platform that uses RF data transmission through a plastic dielectric waveguide. Designed to meet the coming demands of 1.6T and 3.2T bandwidth requirements, e-Tube leverages cables made from common plastic material such as low-density polyethylene (LDPE), which avoids the high-frequency loss and physical constraints inherent to copper. The result is a flexible, power-efficient, and highly reliable link that delivers the reach and performance required to scale up AI clusters in next-generation data center designs.

Figure 1 [Patented e-Tube Platform]

The industry is taking notice of the impact e-Tube will make, with results showing up to 10x the reach of copper while being 5x lighter and 2x thinner. Compared with optical cables, e-Tube consumes 3x less power, achieves 1,000x lower latency, and an impressive 3x less cost. Its scalable design architecture delivers consistent bandwidth for future data speeds to 448Gbps and beyond across networks, extending existing use cases and creating new applications that copper and optical interconnects cannot support.

With the impending copper cliff and optical penalty looming in the horizon, the time is now for data center operators to consider a third interconnect option. e-Tube RF transmission over a plastic dielectric delivers measurable impact with longer reach, best-in-class energy efficiency, near-zero latency, not to mention a cost-effective option. As AI workloads explode and terabit-scale fabrics become the norm, e‑Tube is posed to be a foundational cable interconnect for scaling up AI clusters for the next generation of data centers.

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About the Author

Sean Park is a seasoned executive with over 25 years of experience in the semiconductors, wireless, and networking market. Throughout his career, Sean has held several leadership positions at prominent technology companies, including IDT, TeraSquare, and Marvell Semiconductor. As the CEO, CTO, and Founder at Point2 Technology, Sean was responsible for leading the company’s strategic direction and overseeing its day-to-day operations. He also served as a Director at Marvell, where he provided invaluable guidance and expertise to help the company achieve its goals. He holds a Ph.D. in Electrical Engineering from the University of Washington and also attended Seoul National University.

The post Beyond Copper and Optics: How e‑Tube Powers the Terabit Era appeared first on Data Center POST.

The digital technology ecosystem and virtual spaces are powered by data – its storage, processing, and computation; and data centers are the mitochondrion on which this ecosystem depends. From online gaming and video streaming (including live events) to e-commerce transactions, credit and debit card payments, and the complex algorithms that drive artificial intelligence (AI), machine learning (ML), cloud services, and enterprise applications, data centers support nearly every aspect of modern life. Yet the professionals who operate and maintain these facilities like data center facilities engineers, technicians, and operators, remain largely unsung heroes of the information age.

Most end users, particularly consumers, rarely consider the backend infrastructure that enables their digital experiences. The continuous operation of data centers depends on the availability of adequate and reliable power and cooling for critical IT loads, robust fire protection systems and tightly managed operational processes that together ensure uptime, and system reliability. For users, however, the expectation is simple and unambiguous; online services must work seamlessly and be available whenever they are needed.

According to the Data Center Map, there are 668 data centers in Virginia, more than 4000 in the United States, and over 11,000 globally. Despite the rapid growth, the industry faces a significant challenge: it is not producing enough qualified technicians, engineers, and operators to keep pace with the growth of data center infrastructure in the United States despite an average total compensation of $70,000 which may go as high as $109,000 in Northern Virginia, as estimated by Glassdoor.

Data center professionals require highly specialized electrical and mechanical maintenance skills and knowledge of network/server operations gained through robust training and hands-on experience. Sadly, the industry risks falling short of its workforce needs due to the unprecedented scale and speed of data center construction. This growth is being fueled by the global race for AI dominance, increasing demand for digital connectivity, and the continued expansion of cloud computing services.

Industry projections highlight the magnitude of the challenge. Omdia (As reported by Data Center Dynamics) suggests data center investment will likely hit $1.6 trillion by 2030 while BloombergNEF forecasts data-center demand of 106 gigawatts by 2035. All these projects and projections demand skilled individuals which the industry does not currently have, and the vacuum might create problems in the future if not filled with the right individuals. According to the Uptime Institute’s 2023 survey, 58% of operators are finding it difficult to get qualified candidates and 55% claim they are having difficulty retaining staff. The Uptime Institute’s 2024 data center staffing and recruitment survey shows that there was 26% and 21% turnover rate for electrical and mechanical trades respectively. It was estimated by The Birmingham Group that AI facilities will create about 45,000 data center technicians and engineers jobs and employment is projected to be at 780,000 by 2030.

Meeting the current and future workforce demands requires both leveraging talent pipelines and creating new ones. Technology is growing and evolving at a high speed and filling critical data center positions increasingly demands professionals who are not only technically skilled, but also continuously trained to keep up with rapidly changing industry standards and technologies

Organizational Apprenticeship and Training Programs

Organizations should invest in organizational training and apprenticeship programs for individuals with technical training from community colleges so that they can create pipelines of technically skilled individuals to fill critical positions. This will ensure the future of critical positions within the data center industry is secured.

Trade Programs Expansion in Community College

Community colleges should expand the teachings of technical trades because these programs create life-sustaining careers with the possibility of earning high incomes. Northern Virginia Community College has spearheaded data center operations programs to train individuals who can comfortably fill entry level data center critical facilities positions in northern Virginia and everywhere else.

Veterans Re-entry Programs 

A lot of military veterans possess the required transferrable skills needed within data center critical facilities, and organizations need to leverage this opportunity. Organizations need to harness the opportunities provided by the Disabled American Veterans and DOD’s Transition Assistance Program, and other military and DOD programs.

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About the Author

Rafiu Sunmonu is the Supervisor of Critical Facilities Operations at NTT Global Data Centers Americas, Inc.

The post Creating Critical Facilities Manpower Pipelines for Data Centers appeared first on Data Center POST.

If you’re an IT executive in a mid-sized business, planning your 2026-2027 budget, you’re seeing continued pressure to dedicate more budget to AI related investments. Businesses now must add AI spending to weighing the ROI against budget allocations for virtual desktop infrastructure (VDI), digital transformation, and SaaS applications.

With more limited budgets, mid-sized businesses are in constant struggle to correctly prioritize spending. In the case of VDI, budgeting has gotten more interesting as the market has undergone a major upheaval with new brands, acquisitions and some vendors trying to hold on to market share they gained pre-upheaval. As a result, mid-market businesses, somewhat unwillingly, have had to reassess their VDI related investments and relationships, including their investment in the hardware and software needed to support their hybrid workforce.

VDI market changes have prompted mid-sized businesses to explore new options for their endpoint VDI deployments. They’re looking for improved economies, more ability to customize and to avoid legacy-style locked-in agreements.

Moving Past the Chaos

VDI remains a dominant force in enabling digital transformation and hybrid workforce productivity. The global VDI market is estimated to reach $78 billion by 2032, a CAGR growth rate of 22.1% from 2024. While vendors and providers serving the VDI market may change, the reality is, the need to deploy VDI will only increase as security concerns, remote work and cloud computing continue to make virtual desktops a desired choice.

The VDI industry can look a bit chaotic, but course correction was inevitable as long-term players face a different market in which businesses are looking for more flexibility and the ability to change relationships as their business and operational strategy evolves. It has opened the door to entities like Omnissa which offers a menu of subscription term lengths starting at one year. The legacy, multi-year agreements are giving way to these more flexible options.

To move past VDI market changes, it’s best to focus first on what a business needs in endpoint investments over the next several years. Key considerations include:

• New technology investments to improve workspace productivity and employee engagement.
• Clarifying AI business strategy to determine what is needed in endpoint device support.
• Updating anticipated hybrid workforce headcount to avoid purchasing shortfalls.
• Evaluating needed endpoint security and compliance improvements.

Once this evaluation is done a business can look at the landscape of VDI choices and fine tune purchasing.

Where Endpoint Hardware Fits

Businesses’ changing approach to VDI and endpoint investment has spurred new interest in evaluating hardware options, notably thin clients and zero clients. Thin clients, in one form or another, have been in use for decades. However, the adoption of VDI and acceleration of remote work has made modern thin clients an essential element in endpoint computing. They offer time and money savings compared to legacy ‘fat’ PCs, with a smaller form factor. Thin clients display remote desktop sessions, while virtual machines (VMs) host the centralized compute operations. Since data is not stored locally, thin clients offer improved security when a hybrid workforce is accessing files and applications at different locations around the globe.

For mid-sized businesses, with few IT professionals already managing many tasks, a modern thin client offers centralized management of on-premises and off-premises endpoints, saving IT considerable time.

Zero clients connect solely and instantly to a remote desktop and reduce cyber threats even further, since they are a leaned down version of a thin client, often connecting to a singular platform only. They are based around zero trust principles and restrict users from saving data locally. When evaluating thin client and zero client choices, some key questions to ask are:

• Are you supplying thin clients for primarily task workers, power users, or a combination of both? A task worker may only need an Intel Atom x5-E8000 Quad Core Processor, two display ports and four USB ports with an RJ45 connector. A knowledge worker or power user will likely need an Intel N100 Quad Core Processor, two HDMI connectors, 60Hz screen support, six USB ports and an RJ45 connector.
• Will a thin client need to integrate with a number of VDI and application providers? A flexible thin client will be able to connect to (AVD) Azure Virtual Desktop, Citrix, Omnissa and Windows 365 Cloud PC, among others, to satisfy the needs of different workers and use cases.
• Does your business involve protecting highly sensitive data subject to stringent compliance regulations? Thin and zero clients that are feature-rich to comply with strict data protection protocols will be a necessary requirement.
• Do you have separate licensing agreements for endpoint management software and hardware? In many cases integration of licensing agreements can help save budgets and streamline management.
• Are you looking to move to different subscription and payment models? Mid-sized businesses will find more competitive options in the market that offer flexible term agreements. Businesses also want to avoid being locked into pricier agreements due to vendor mergers, and to avoid ‘tag-on’ fees that can multiply when a vendor adds technology features. They will be critically evaluating options to avoid any unnecessary budget increases.
• What level of technical support will your IT staff require, from initial installations to firmware updates? Providers vary in pricing for ongoing tech support and what’s covered in the purchasing agreement.

Creating the 2026 Strategy

Going into 2026, it is more of a buyer’s market as companies want to customize their VDI and related investments to better support overall business and endpoint computing goals. Flexible, finely curated agreements will win in the marketplace. To be the most effective, a business will benefit from first examining 2026’s larger goals in workspace improvements, security and compliance and technology investments. This analysis will help more precisely evaluate thin clients and zero purchasing. The VDI market is still recovering from its chaotic period, but mid-sized businesses can avoid the chaos with well thought-out strategies and informed decision making.

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About the Author

Kevin Greenway joined 10ZiG in 2012 and became CTO in 2015. He leads the company’s overall technology and product strategy, collaborating with global teams to ensure continuous innovation in a fast-paced, disruptive market. Under his leadership, 10ZiG delivers modern, managed, and secure endpoints through a unified hardware and software approach.

A computer science graduate with numerous IT certifications, Kevin has more than 25 years of experience in the IT sector, including remote connectivity, terminal emulation, VoIP, unified communications, and VDI remoting protocols. Since joining 10ZiG, he has focused exclusively on VDI and End User Computing (EUC) and oversees strategic technology alliances with leading partners such as Citrix, Microsoft, and Omnissa.

Outside of work, Kevin is a devoted family man who enjoys spending time with his wife, two children, and their dog. He enjoys running, cycling and watching sports such as Motorsport & Football/Soccer, especially his son’s team and Leicester City FC.

The post Making Sense Out of VDI Chaos appeared first on Data Center POST.

As 2025 comes to a close, Tim Hickinbottom, Head of Strategic Accounts at Datalec Precision Installations (DPI), is reflecting on a milestone year both personally and professionally. With nearly four decades in the digital infrastructure and technology sector, Hickinbottom’s perspective offers insight into how experience, adaptability, and long-term vision continue to shape growth in an evolving industry.

A Career Built on Experience and Adaptability

Hickinbottom’s career began in 1986 at Compucorp and includes formative years in the Royal Navy and with British Aerospace in Saudi Arabia. These early experiences helped shape a leadership approach grounded in resilience, discipline, and adaptability. These are qualities that remain critical as data center and mission-critical services grow more complex and globally connected.

A Defining Year 

In 2025, DPI sustained its year-on-year growth while expanding into new regions. The launch of operations in APAC, continued momentum in the Middle East, and steady growth across Europe marked one of the company’s busiest periods to date. By year-end, DPI expects to operate 23 entities worldwide, with further expansion already underway.

According to Hickinbottom, this progress reflects both strong market demand and a deliberate strategy focused on operational discipline and long-term stability.

Strategy, Engagement, and Sustainability

Behind the visible growth is a leadership team focused on reinvestment and sustainable expansion. While much of this work occurs behind the scenes, evolving strategies and internal alignment are shaping DPI’s direction.

Throughout the year, DPI reinforced its global presence at major industry events including Datacentre World and GITEX conferences across multiple regions. At the same time, the company advanced its sustainability efforts, earning recognition from CDP and EcoVadis and preparing to share its Science Based Targets.

“These initiatives matter deeply to our clients and partners,” Hickinbottom notes, emphasizing accountability and environmental stewardship as core elements of industry leadership.

Looking Ahead to 2026

As DPI looks toward 2026, Hickinbottom remains optimistic about the challenges and opportunities ahead. With hard work embedded in the company’s culture and a clear focus on innovation, DPI is positioned to continue supporting data center operators and digital infrastructure stakeholders worldwide.

“Work should be enjoyable,” Hickinbottom reflects. “It’s been an incredible journey so far, and I’m excited for what’s next.”

To explore Hickinbottom’s full reflections on 2025 and his perspective on the year ahead, read the complete blog on Datalec Precision Installations’ website here.

The post Reflecting on a Year of Global Growth at Datalec Precision Installations appeared first on Data Center POST.

Empire Fiber Internet, a leading fiber optic internet service provider serving communities across New York and Pennsylvania, is expanding its high speed fiber network in Williamsport, bringing more residents and businesses access to fast, reliable connectivity. This latest buildout continues the company’s investment in Pennsylvania communities and supports long term economic growth across the region.

Since first announcing plans to enter Williamsport in 2023, Empire Fiber Internet has grown to serve more than 9,000 homes across Williamsport and South Williamsport. With this new phase of construction, service is extending into the Garden View, Grimesville, and Newberry neighborhoods, as well as northern and eastern areas of Downtown Williamsport.

“Our commitment is to expand fiber access where it’s needed most, and Williamsport has been a priority for us in Pennsylvania,” said Kevin Dickens, CEO of Empire Fiber Internet. “Strong, reliable connectivity plays an important role in supporting economic growth, education, telehealth, and remote work, and we are proud to help bring these benefits to more households and businesses.”

The project will add fiber access to 2,500 additional homes, giving residents and businesses access to symmetrical speeds and performance advantages that traditional cable or copper networks cannot match. Plans in serviceable areas start at 55 per month with symmetrical speeds up to 2 Gig, free installation, no hidden fees, and 24/7 local customer support.

Empire Fiber Internet’s investment in Williamsport strengthens local infrastructure and supports long term community growth, backed by local customer service teams and partnerships with organizations such as area chambers of commerce.

To learn more about Empire Fiber Internet, visit www.empireaccess.com.

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At infra/STRUCTURE 2025, held at The Wynn Las Vegas, industry leaders from Structure Research, Iron Mountain, Compass Datacenters, and TA Realty examined how hyperscales are evolving faster than ever and changing the landscape in data infrastructure.

During the infra/STRUCTURE Summit 2025, held at The Wynn Las Vegas from October 15-16, a panel of industry leaders explored how global hyperscale development models are being transformed by changing procurement dynamics, third-party partnerships, and market-specific constraints.

Moderated by Ainsley Woods, Research Director at Structure Research, the session “Shifting Hyperscale Landscape and Engagement Models” brought together a mix of perspectives from across the ecosystem: Rohit Kinra, Senior Vice President and General Manager of Hyperscale at Iron Mountain; Chris Crosby, CEO of Compass Datacenters; and Adam Black, Senior Vice President of Design and Construction at TA Realty. Together, they discussed how hyperscalers and operators are realigning strategies to manage cost, speed, and risk in an increasingly complex global landscape.

Shifting Toward Third-Party Leasing

Opening the session, Woods noted that while self-build remains a significant approach for hyperscalers, the shift toward third-party leasing continues to accelerate. Kinra explained that this movement reflects a growing appetite to transfer financial and operational risk to providers better equipped to deliver consistent, on-schedule capacity.

“This dynamic enables hyperscalers to focus on core digital capabilities while maintaining agility,” said Kinra.

Crosby observed that data center companies have evolved from highly specialized infrastructure firms into multifunctional operators that behave more like software-driven entities. “The mindset is shifting from ‘construction’ to ‘continuous delivery,’ emphasizing iterative improvement and efficiency at scale.”

Procurement Models and Utility Coordination

Woods directed the discussion toward procurement models, noting “that evolving regulations and nimbyism are materially reshaping project timelines and commitments.”

“Hyperscale leasing can range from single-megawatt tranches to long-term strategic leases, striking a balance between flexibility and guaranteed availability,” said Kinra.

“The necessity of robust collaboration with utilities, pointing out that committed paperwork and confirmed timelines are now prerequisites for greenlighting new projects,” said Crosby. “This transparency and early engagement build trust and ensure that supply chains remain resilient amid rapid scaling.”

Standardization versus Customization

Bringing an engineering and construction perspective, Black said, “The industry is adopting a manufacturing approach to design and delivery. By standardizing components and processes, data center builders are compressing construction cycles, driving down costs, and minimizing rework.”

At the same time, Kinra warned that “flexibility remains crucial, as hyperscalers must frequently adjust designs based on power availability and evolving hardware requirements. Balancing repeatability and adaptability will continue to define long-term competitiveness in global hyperscale markets.”

Partnering for Speed and Scale

When asked whether third-party providers could outperform self-build models, Kinra pointed to overseas examples.

“In high-density Asian markets,” said Kinra, “it’s where leasing has provided a faster and less risky entry point.”

“Experienced operators, especially those with industrial real estate expertise, bring an unlocking function to hyperscalers, helping them secure viable space and navigate permitting challenges,” Crosby underscored.

This is where partners may play a key role in both speed and scale.

“Collaboration, not competition, between hyperscalers and third-party providers will define the next frontier of scale,” said Black. “Flexibility, transparency, and shared accountability are now non-negotiable for long-term partnership success.”

Research, Adaptation, and the Path Forward

In closing, Woods prompted the group for key takeaways. The panelists unanimously emphasized continuous innovation, research, and foresight as the only way to stay aligned with hyperscale’s relentless pace.

“With infrastructure design cycles shortening and technology requirements diversifying,” Kinra concluded, “the winners will be those who can adapt fastest while maintaining reliability and customer focus.”

Infra/STRUCTURE Summit 2026: Save the Date

Want to tune in live, receive all presentations, gain access to C-level executives, investors and/or industry-leading research? Then save the date for infra/STRUCTURE 2026, set for October 7-8, 2026, at The Wynn Las Vegas. Pre-Registration for the 2026 event is now open, and you can visit www.infrastructuresummit.io to learn more.

The post Shifting Hyperscale Landscape: Exploring New Models of Growth, Collaboration, and Risk in Data Infrastructure appeared first on Data Center POST.

In an era where sustainability is no longer just a buzzword but a business imperative, the data center industry is under increasing pressure to demonstrate measurable environmental progress. Datalec Precision Installations (DPI), a provider of world-class global data center design, supply, build, and installation services, has taken a significant step in this direction. The company announced this week that it has been recognized for its transparency on environmental issues with a ‘B’ score from CDP Worldwide, the global non-profit that runs the world’s leading environmental disclosure system.

A Benchmark for Transparency

DPI’s ‘B’ rating in the climate change category places it among a select group of organizations demonstrating “Management” level stewardship. This score indicates that Datalec is not just aware of its environmental impact but is taking coordinated action on climate issues.

The achievement is notable given the rigour of the CDP process. In 2025, nearly 20,000 companies were scored, with CDP’s methodology widely considered the gold standard for corporate environmental reporting. By aligning with the Task Force on Climate-related Financial Disclosures (TCFD) framework, CDP scores are a critical metric for the 640 institutional investors – representing over $127 trillion in assets – who use this data to inform their investment and procurement decisions.

Driving an Earth-Positive Economy

For the data center sector, where Scope 3 emissions and supply chain transparency are critical challenges, DPI’s disclosure represents a commitment to the future.

“We are proud to receive a B score from CDP, which is a meaningful recognition of the tireless and consistent work of our entire team towards achieving our ESG goals,” said Tim Hickinbottom, DPI ESG Group Lead. “Transparency and accountability are at the heart of our sustainability strategy, and this result reflects our commitment to driving positive environmental impact. While we celebrate this milestone, we remain focused on continuous improvement and advancing sustainable practices.”

The Importance of Disclosure

Sherry Madera, CEO of CDP, emphasized that these scores are about more than just accolades. They are about future-proofing operations. “A CDP score is a sign of commitment to high-quality data that enables companies to take earth-positive economic decisions,” Madera noted. “Tackling environmental risks head-on will create a more resilient economy and increase companies’ ability to innovate and invest.”

To learn more about Datalec’s services and sustainability initiatives, visit www.datalecltd.com.

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Evocative, a global provider of Internet infrastructure, has announced that it has raised debt financing from a large global investment firm, complementing continued equity support from its long-term investment partner, Crestline Investors. The financing reflects the next phase of a multi-year growth plan focused on scaling capacity in step with customer demand.

The investment will enable targeted infrastructure initiatives, including capacity upgrades, strategic metro expansions, and continued enhancements across Evocative’s data center, network, bare metal, and cloud platforms as the company responds to rising requirements for power, space, and network density to support enterprise and service provider customers.

“Crestline has worked closely with Evocative as the company continues to execute its strategic business plan,” said Will Palmer, Executive Managing Director and Co-Head of US Corporate Credit. “We believe Evocative is well positioned to meet the increasing demands of the digital infrastructure industry, and we are pleased to support their ongoing expansion and long-term vision.”

Crestline Investors has partnered with Evocative for several years, supporting the company through multiple phases of its strategic growth plan and backing its efforts to scale a global digital infrastructure platform focused on high-density colocation and connectivity. This latest financing builds on that foundation, providing capital to expand where demand is already taking shape.

“This financing marks a significant milestone in Evocative’s continued journey to expand capacity and deliver on our long-term vision of high density colocation and a robust global network to support next generation AI applications,” said Derek Garnier, CEO at Evocative. “We remain committed to building with discipline, scale, and customer focus. Our aim is to continue delivering the space, power, and connectivity required for AI development, hybrid cloud environments, and infrastructure diversification.”

As demand for AI-driven and hybrid infrastructure continues to grow, Evocative remains focused on expanding capacity with discipline across its digital infrastructure platform, aligning investment with real-world deployment needs rather than speculative buildout.

To learn more about Evocative’s digital infrastructure solutions, read the full press release here.

The post Evocative Advances Data Center Growth Strategy With New Financing appeared first on Data Center POST.

Insights from ASG, Oklo Inc., Switch, and Equinix

Why Nuclear Energy is Back in the Data Center Conversation

At the infra/STRUCTURE Summit 2025, held October 15–16 at the Wynn Las Vegas, one of the most talked-about sessions was “Now and Going Nuclear.” The discussion explored how nuclear energy, long viewed as complex and controversial, is rapidly emerging as a viable solution for powering the data center industry’s next phase of growth.

Moderated by Daniel Golding, CTO of ASG, the panel featured Brian Gitt, Senior Vice President of Business Development at Oklo Inc.; Jason Hoffman, Chief Strategy Officer at Switch; and Philip Read, Senior Director of Product Management at Equinix. Together, they examined how technology, regulation, and market forces are aligning to make small modular reactors (SMRs) and nuclear-derived power a credible and necessary part of the digital infrastructure ecosystem.

A Generational Shift in Nuclear Perception

Daniel Golding opened the discussion by highlighting how dramatically attitudes toward nuclear energy have changed in recent years. “The political opposition has evaporated entirely in the past three to four years,” Golding observed. “What’s happened is a generational change. For younger generations who’ve grown up in a world shaped by climate change, nuclear risk seems modest compared to the risk of inaction.”

This generational shift, Golding noted, is paving the way for new conversations around nuclear deployment, not just as an energy option, but as an environmental imperative. The narrative has moved from “if” to “when,” setting the stage for nuclear integration into the world’s largest digital infrastructure operations.

Policy Momentum and Market Acceleration

Brian Gitt of Oklo described how a wave of regulatory and policy reforms has transformed the U.S. nuclear landscape in just the last year. “Since May, the federal government has released a series of executive orders removing barriers, unlocking fuel supply, and streamlining licensing,” Gitt said. “The NRC is now required to approve reactor applications within 18 months, and the DOE is opening federal lands for AI factories and power infrastructure.”

Gitt also announced that Oklo is leading construction on a $1.68 billion fuel recycling facility in Oak Ridge, Tennessee, the first of its kind in the U.S., designed to convert spent fuel into usable energy. “We’re taking what used to be seen as waste and turning it into 24/7 baseload power,” he explained. “We’ve moved from vision to execution, and the timeline from now to nuclear is about three years.”

Designing for a Nuclear-Powered Future

Jason Hoffman of Switch spoke to how data center design must evolve to integrate nuclear energy at the gigawatt scale. “When we talk about AI factories, we’re talking about facilities that are five times larger than what we’ve traditionally built,” Hoffman said. “These are sites measured in hundreds of acres, with power demand comparable to naval-scale energy systems. Nuclear makes that scale possible.”

He added that Switch and other major operators are actively exploring how to integrate self-generated nuclear power into future campuses. “It’s not just about access to power,” Hoffman said. “It’s about reliability, control, and sustainability. Nuclear enables all three.”

Philip Read of Equinix echoed this point from a customer perspective, emphasizing that clients want certainty. “Our customers want confidence in their power supply, growth strategy, and sustainability goals,” Read said. “They’re asking, ‘Do we need a different strategy for locations and energy sources?’ Nuclear provides that line of sight.”

Security, Scale, and Sustainability

The conversation also touched on key challenges. When asked what keeps him up at night, Hoffman was quick to answer: “Security posture.” Hoffman noted that as nuclear and data centers intersect, ensuring robust cybersecurity and operational safety will be critical.

Gitt added that misconceptions about nuclear waste remain one of the industry’s biggest hurdles. “We have enough stored fuel in the U.S. to power the country for generations,” Gitt said. “It’s not dangerous, it’s energy waiting to be unlocked. We’re sitting on the equivalent of five Saudi Arabias of energy, and we’re burying it instead of using it. That needs to change.”

Golding agreed, noting that for decades, the U.S. has stored waste in temporary pools, a model that is no longer scalable. The consensus: recycling and reusing fuel through modern SMRs is not only possible but essential.

Economic and Community Impact

Beyond technical feasibility, the panel highlighted the broader economic upside of nuclear development. Gitt shared that Oklo’s projects are already generating significant local economic benefits. “We just broke ground in Iowa, and the job creation has been incredible,” Gitt said. “This isn’t just energy innovation, it’s economic revitalization. Communities are competing to host these facilities because they bring skilled jobs, tax revenue, and long-term prosperity.”

Hoffman and Read both agreed that pairing nuclear generation with data center campuses could redefine industrial development in the U.S. “These are long-term, high-value assets,” Hoffman said. “They’re not speculative, they’re the backbone of America’s digital and economic future.”

From Renewable to Reliable: The Role of Baseload Power

Golding raised the question of whether hyperscalers are ready to embrace nuclear as part of their sustainability strategies. Gitt’s answer was unequivocal: “Every major hyperscaler now includes nuclear in their long-term power roadmap. It’s part of the equation for net-zero.”

Gitt noted that nuclear has the smallest materials footprint of any energy source, smaller even than wind or solar; making it one of the most resource-efficient options available. “If we want to keep the lights on and cut emissions, there’s really no alternative,” Gitt said. “The data center industry has realized that nuclear isn’t optional, it’s inevitable.”

From Vision to Reality

The panel made clear that the intersection of nuclear energy and data center infrastructure is no longer theoretical. Regulatory pathways are opening, commercial projects are underway, and the industry’s largest power consumers are preparing to integrate nuclear into their long-term sustainability and capacity strategies.

As Golding concluded, “This isn’t a thought experiment anymore. It’s happening. By the end of the decade, nuclear will be powering data centers, and helping our industry lead the global energy transition.”

Infra/STRUCTURE 2026: Save the Date

Want to tune in live, receive all presentations, gain access to C-level executives, investors and industry leading research? Then save the date for infra/STRUCTURE 2026 set for October 7-8, 2026 at The Wynn Las Vegas.  Pre-Registration for the 2026 event is now open, and you can visit www.infrastructuresummit.io to learn more.

The post Now and Going Nuclear: Powering the Next Generation of Data Centers appeared first on Data Center POST.

As demand for AI, cloud, and hyperscale infrastructure accelerates across Europe, Nostrum Data Centers is advancing a new generation of sustainable, high-performance data center assets in Spain, with availability beginning in 2027.

The Spain-based developer is delivering more than 500 MW of IT capacity, supported by secured land and power, enabling customers to move quickly from planning to deployment. With 300 MW of power already secured and scalable to 500 MW, Nostrum is addressing Europe’s growing need for resilient, efficient digital infrastructure.

Earlier this month, Nostrum Data Centers, part of Nostrum Group, recently announced that AECOM will design and manage its $2.1 billion data center campus in Badajoz, one of six strategically located developments across the country. These sites leverage Spain’s strong subsea connectivity, competitive energy costs, and robust power availability to support scalable growth.

“Our Spain-based data centers combine strategic site selection, secured power connections, and AI-ready infrastructure to meet the demands of the next-generation digital economy,” said Gabriel Nebreda, Chief Executive Officer at Nostrum Group. “Our team of industry leaders with over 25 years of experience are developing facilities that are not only highly efficient and scalable but also fully sustainable, supporting both our customers’ growth and global climate goals.”

Engineered for high-density AI and cloud workloads, Nostrum’s facilities are designed to achieve a PUE of 1.1 and a WUE of zero, eliminating water usage for cooling. Collectively, the developments are expected to prevent 10 million metric tonnes of CO2 emissions, aligning with the United Nations Sustainable Development Goals.

Nostrum’s 2027 delivery timeline reinforces its commitment to providing efficient, future-ready infrastructure across Spain for AI, cloud, and hyperscale customers.

Learn more about Nostrum Data Centers: www.thenostrumgroup.com/nostrum-data-centres

Click here to read the press release!

The post Nostrum Data Centers to Deliver 500 MW of AI-Ready, Sustainable Capacity in Spain by 2027 appeared first on Data Center POST.

Fifteenfortyseven Critical Systems Realty (1547) is building on years of network activity in South Texas with the launch of the McAllen Internet Exchange (MCT-IX) and a series of infrastructure expansions at Chase Tower in downtown McAllen. Together, these developments reflect how the region’s role as a U.S.–Mexico connectivity point continues to take shape.

MCT-IX is deployed inside the 1547-owned Chase Tower, long recognized as the primary carrier hotel and aggregation point for cross-border network traffic in McAllen. By placing the exchange directly within this established ecosystem, MCT-IX creates a natural place for networks to exchange traffic locally and has secured formal ARIN recognition under ASN AS402079. Early port commitments from participating networks mark the initial phase of onboarding and signal early interest from the existing ecosystem.

The launch of MCT-IX builds on a year of sustained growth inside Chase Tower, which has seen new carrier deployments, capacity expansions from long-standing partners, and rising cross-connect activity throughout 2025. To support this momentum and maintain the building’s role as the region’s primary network interconnection hub, 1547 has invested more than $6 million in critical infrastructure upgrades, including backup power, elevators, fire and life safety systems, and a comprehensive HVAC overhaul.

Beyond core building upgrades, 1547 is expanding its interconnection infrastructure with a new meet-me room and a dedicated carrier room designed to serve dozens of carrier cabinets. These additions are intended to simplify how networks connect with one another, with MCT-IX, and with the broader Chase Tower ecosystem. To meet future demand from both data center tenants and MCT-IX participants, 1547 is currently developing 500 kilowatts of additional colocation capacity inside the tower, along with a 3 megawatt, 13,000-square-foot dedicated data center annex targeted for completion in Q4 2026.

MCT-IX is designed to address a long-standing challenge in the region, where cross-border connectivity has traditionally relied on upstream routes that leave McAllen before reaching their destination. By enabling a more localized peering option, the exchange gives networks greater control over routing efficiency and performance, while supporting route diversity and resiliency.

“Announcing MCT-IX is an important milestone for both 1547 and the McAllen market,” said J. Todd Raymond, CEO and Managing Director of 1547. “With formal ARIN recognition and early port commitments already underway, it is clear there is strong demand for an Internet Exchange that builds on the long-established interconnection ecosystem inside Chase Tower. As owners of the carrier hotel, we are committed to supporting this next phase of growth.”

As interconnection activity continues to increase, 1547’s leadership sees MCT-IX as a natural extension of what is already happening inside Chase Tower. “Across Chase Tower, we are seeing measurable increases in interconnection activity, from new deployments to expanded capacity and growing interest in route diversity,” said John Bonczek, Chief Revenue Officer of 1547. “MCT-IX aligns with the needs of the ecosystem inside the building and adds another layer of functionality as that activity continues to grow.”

Read the full release here.

The post 1547 Strengthens McAllen’s Role as a Cross-Border Connectivity Hub with Launch of MCT-IX appeared first on Data Center POST.

Originally posted on Enterprise Times.

As blockchain adoption moves beyond crypto-native startups into the enterprise mainstream, the infrastructure demands of validator nodes are becoming a strategic consideration.

Across industries, enterprises are exploring blockchain not for speculation but for operational transparency and data integrity. Financial institutions use private and consortium chains to streamline settlement and compliance. Logistics companies apply blockchain to track provenance and supply chain authenticity, in addition, healthcare and government sectors are testing it for secure records management and digital identity.

This shift from experimentation to integration is prompting IT leaders to evaluate how validator infrastructure fits within existing enterprise standards for performance, reliability, and governance.

Validators keep blockchain networks honest. They confirm transactions, secure consensus, and maintain the integrity of digital assets in motion. For organizations participating in staking or building on decentralized protocols, validator performance is not optional. Reliability, uptime, and security directly affect financial outcomes and brand trust.

While cloud computing has long been the default for fast deployment, validator workloads have unique requirements that challenge shared virtual environments. High latency, unpredictable resource allocation, and compliance concerns can undermine both performance and profitability. To achieve the scale and precision modern networks demand, enterprises are re-evaluating their infrastructure foundations.

To be clear, cloud infrastructure has earned its place in enterprise IT for good reason. Rapid provisioning, elastic scaling, and minimal upfront investment make it ideal for development environments, variable workloads, and teams that need to move fast without dedicated infrastructure expertise.

For many blockchain applications—particularly in early-stage testing or low-stakes environments—cloud remains a practical choice. The question isn’t whether cloud works, but whether it works well enough for the specific demands of production validator operations where penalties, rewards, and reputation are on the line.

To continue reading, please click here.

The post Powering Enterprise Blockchain Validators with Bare Metal Infrastructure appeared first on Data Center POST.

The infra/STRUCTURE Summit 2025, held recently at The Wynn in Las Vegas on October 15-16, brought together industry leaders from Innovorg and Syntax to discuss the intersection of business strategy and technological innovation.

This infra/STRUCTURE Summit 2025 session spotlighted pivotal discussions on how organizations are shifting their models, developing AI capabilities, and managing talent for sustainable growth. Understanding these insights is crucial for infrastructure professionals aiming to stay ahead in a rapidly evolving landscape.

Key Voices and Perspectives

The session was led by prominent platform innovator, Elya McCleave, CEO of Innovorg, a strategic leader passionate about integrating business and technology, and whose company is at the forefront of digital transformation. Additionally, Christian Primeau, CEO of Syntax, shared insights on leadership and the importance of curiosity and continuous education, drawing from its experience with product engagement and strategic positioning. Together, they emphasized the significance of a clear strategy, identity, and skill management in driving growth.

Throughout the discussion, McCleave underscored the importance of leveraging mergers and acquisitions for talent addition, citing Innovorg’s efforts in developing over 700 AI agents through employee training programs.

“This initiative illustrates the ongoing shift from a data center-centric model to an ecosystem-focused approach,” said McCleave, “which has drastically reduced data center revenue from 90% to less than 1%.”

They also highlighted the importance of strategic market exploration, exploring talent sourcing in Korea and Argentina, and fostering employee mobility through programs like “global tourism.”

Major Takeaways and Their Relevance

Speaking extensively about the connection between business and technology integration, McCleave emphasized that success depends on a clear strategy, strong identity, and skill management.

“Leaders are focusing on defining clear identities, strategies, and service models that create sustainable value,” said McCleave. “The commitment to upskilling over 3,000 employees in AI and automation reflects a proactive approach to future-proofing the workforce. Whereas, the bottom-up model of AI agent development demonstrates empowering employees to innovate directly.”

The shift away from traditional data centers toward a broader ecosystem model signifies a fundamental change in infrastructure operations. This evolution enhances agility and trust management across multi-cloud environments.

“Exploring global markets and flexible work arrangements indicate a strategic move to attract and retain top talent,” said McCleave. “Programs allowing employees to work remotely from diverse locations reinforce this commitment.”

Primeau contributed perspectives on leadership and engagement, emphasizing curiosity and lifelong learning as key elements of effective leadership.

“I encourage integrating personal experiences and storytelling into leadership development to strengthen connection and authenticity,” said Primeau. “Managing an extensive portfolio of applications across multiple clouds requires sophistication, trust, and strategic orchestration,” he said. “This is an essential focus area for modern infrastructure teams.”

Final Thoughts and Call to Action

These insights from the infra/STRUCTURE Summit 2025 demonstrate that innovation, strategic talent management, and technological agility are pivotal for infrastructure success. As organizations look to the future, embracing these trends will not only drive growth but also ensure resilience in an increasingly complex digital landscape.

Infra/STRUCTURE 2026: Save the date

Join industry leaders and pioneers to explore new horizons in infrastructure innovation. To tune in live, receive all presentations, gain access to C-level executives, investors and/or industry-leading research, save the date for infra/STRUCTURE 2026. It will be held October 7-8, 2026, at The Wynn Las Vegas. Pre-Registration for next year’s event is now open, so visit www.infrastructuresummit.io to learn more.

The post Transforming Infrastructure with Business and Technology appeared first on Data Center POST.

Sabey Data Centers’ Manhattan facility is emerging as a key hub for AI inference, giving enterprises a way to run real-time, AI-powered services in the heart of New York City. Located at 375 Pearl Street, the site combines immediate high-density capacity with proximity to Wall Street, media companies and other major business hubs, positioning AI infrastructure closer to users, data and critical partners.​

The facility offers nearly one megawatt of turnkey capacity today, with an additional seven megawatts available across powered shells, allowing organizations to scale from pilots to production without relocating workloads. Engineered for high-density, GPU-driven environments, SDC Manhattan supports modern AI architectures while maintaining the resiliency and operational excellence that define Sabey’s portfolio.​

Carrier-neutral connectivity and direct, low-latency access to New York’s network and cloud ecosystems make the facility an ideal interconnection point for latency-sensitive AI applications such as trading, risk analysis and real-time personalization. This is increasingly important for the industry as AI becomes embedded in core business processes, where milliseconds directly affect revenue, user experience and competitive differentiation. Locating inference closer to these ecosystems helps operators overcome limitations of distant, centralized infrastructure and unlock more responsive, data-rich services.​

“The future of AI isn’t just about training, it’s about delivering intelligence at scale,” said Tim Mirick, President of Sabey Data Centers. “Our Manhattan facility places that capability at the edge of one of the world’s largest and most connected markets. That’s an enormous advantage for inference models powering everything from financial services to media to healthcare.”​

By positioning its Manhattan site as an AI inference hub, Sabey Data Centers helps enterprises place their most advanced workloads where connectivity, capacity and proximity converge, aligning AI-optimized infrastructure with trusted, mission-critical operations. For the wider digital infrastructure landscape, this approach signals how urban data centers can evolve to meet the demands of AI at scale. This will bring intelligence closer to the markets it serves and set a direction for how facilities in other global metros will need to adapt as AI adoption accelerates.​

To learn more about Sabey’s Manhattan data center, visit sabeydatacenters.com.

The post How Sabey Data Centers’ Manhattan Site Is Powering the Next Wave of AI Innovation appeared first on Data Center POST.

In the latest episode of NEDAS Live!, episode 63 features a fresh and vital perspective on the data center industry with Luke Adams, analyst at DPGlobal Assets and the co-founder of Data Center Youngbloods. Host, and CEO of iMiller Public Relations, Ilissa Miller explores how this young leader is paving the way for new talent and greater inclusivity in the digital infrastructure sector.​

Creating Opportunity in the Foundation of AI

DPGlobal Assets specializes in global digital infrastructure development, particularly data centers, from ideation through operation. Adams, who transitioned from being a college graduate to an industry analyst, shares what drew him to the sector: the realization that data centers are at the heart of the AI revolution and the backbone of the digital world. “Data centers are the reason that ChatGPT exists, and they’re the reason that AI will continue to skyrocket,” Adams explains, reflecting on how the sector’s unseen complexity offers immense opportunities for recent graduates willing to learn and grow.​

Launching Data Center Youngbloods

Noting the disconnect between academia and the industry, Adams co-founded Data Center Youngbloods with his brother to fix the pipeline. Adams observed that most industry events were filled with seasoned professionals, making young entrants feel like the odd ones who were out of place. Data Center Youngbloods aims to make digital infrastructure careers visible, accessible, and welcoming by bridging the workforce gap and connecting newcomers with mentorship, certification pathways, and a growing peer community. “We’re building the community that I wish existed when I first started out,” says Adams.​

Empowerment, Mentorship, and Debunking Myths

Adams also highlights the power of mentorship and networking. Young professionals often get discouraged by strict experience requirements, but he urges them to be curious, proactive, and fearless in asking questions. He credits mentorship for his rapid growth and emphasizes that skills and knowledge can be gained on the job with the right attitude. Data Center Youngbloods is cultivating in-person events, virtual meetings, and access to supportive mentors, resources that Adams lacked when he began.​

Driving Change One Conversation at a Time

As Data Center Youngbloods’ network expands, Adams’s message centers on paying it forward and breaking down barriers for newcomers. The initiative welcomes both seasoned professionals and emerging talent, offering a booking portal for mentorship and building their community through LinkedIn and direct outreach. Adams’s core advice for future leaders: “Everything is learnable. Be proactive, get involved, and don’t be afraid to reach out, no matter your background”.​

To continue the conversation, listen to episode 63 of the podcast here.

The post Building the Next Generation of Data Center Leaders: A Conversation with Luke Adams appeared first on Data Center POST.

At infra/STRUCTURE Summit 2025, industry leaders from Layer 7 Capital, Hivelocity, and 365 Data Centers discussed issues facing private and edge cloud services.

The infra/STRUCTURE Summit 2025, held at The Wynn Las Vegas October 15-16, 2025, brought together some of the most dynamic individuals in the digital infrastructure industry to explore some of the major challenges in the age of artificial intelligence. Among the most future-forward sessions was “M&A Challenges and Opportunities in Private Cloud and Edge Cloud” markets.

Moderated by Steve Lee, managing director at Layer 7 Capital, a seasoned voice in infrastructure services, the discussion included Jeremy Pease, CEO of Hivelocity, and Bob DeSantis, CEO of 365 Data Centers, where they covered the rapidly evolving digital-infrastructure landscape of mergers and acquisitions (M&A) in private-cloud and edge-cloud markets.

AI Is Redrawing the Map of Global Opportunity

The changes in this landscape are being driven not just by traditional scale, but by shifting partner ecosystems, platform consolidation, and the rising importance of bare-metal/edge solutions.

This topic matters because as a major platform, vendors change strategy and partner models and cloud/colocation providers must adapt or risk being left behind. The conversation touched on the implications of big acquisitions (for example, around virtualization platforms), how service-providers are responding, and what this means for M&A opportunities. Major platform shifts – particularly by vendors like Broadcom after its acquisition of VMware – are up-ending partner ecosystems, costing service-providers, and forcing new strategies.

“VMware’s partner count has been dramatically cut, from thousands to around 15 in the U.S., creating major uncertainty for providers,” Pease said.

“365 Data Centers,” DeSantis said, “is moving toward open-source solutions and white-labeling strategies to manage cost and complexity.”

Platform Disruption Impacts Partner Ecosystems and Cost Models

Acquisitions, like Broadcom’s, has disrupted the virtualization and private-cloud ecosystem by reducing the number of official partners significantly. “This has ripple effects,” Pease said, “for colocation and cloud-services providers: Many must now renegotiate, restructure, or even exit current programs to continue offering VMware-based services.”

Cost models have changed, Pease noted: “Some companies are saving, but many solution-providers are challenged by the new partner-economics and the uncertain support model. This is relevant because, when the vendor-partner dynamic changes so drastically, service-providers face strategic and operational recalibration: Which platform do I back? What will customers expect? What will the margin look like?”

Differentiating Between Virtualization Platforms Versus Open-Source/Alternative Solutions

“VMware as a virtualization platform still holds strong in large-scale infrastructure with heavy storage, IOPS [input/output operations per second], and virtualization demands,” said Pease. “In contrast, platforms like OpenShift may be suitable for smaller environments, but lag in enterprise-grade features for massive scale.”

Bare-metal hosting has evolved beyond simply providing racks and servers – it now includes automation, ingestion capabilities and edge readiness, they discussed.

“Providers must decide technology bets,” said Pease. “If the large-scale platform evolves, but cost or partner support changes drastically, there may be incentives to go with alternative stacks or bare-metal/edge models. This has direct implications for M&A: acquiring or merging capabilities that support multiple platforms may become more attractive.”

Service-provider Strategies: Cost Optimization, White-labelling, Multi-platform Support

Strategies do differ among firms in the industry. “They are a colocation and multi-tenant cloud services provider,” said DeSantis, “and instead of staying in the ‘premier partner’ tier of VMware which is likely expensive and restrictive under the new model, they decided to work via larger partners for what they need and also to launch an open-source initiative that allows them to hedge risk.”

They mentioned cost differentials in the VMware program, and are exploring white-labeling open-source products through a partner.

“We learn that contractually,” Pease said, “Broadcom’s model now requires partners to hold gear and provide support – some partners are doing lease-back arrangements. There is a heavier requirement for level-one and level-two expert support for the VMware platform.”

Varying strategies matter due to cost pressures and changing partner models, which may force providers to rethink business models. “They might shift to white-labelling,” added Pease, “offering multi-platform to stay competitive. M&A may become a way to acquire those capabilities quickly.”

M&A and Consolidation Driven by Platform Shifts and Multi-technology Complexity

These platform disruptions may have fundamental impacts on the M&A market, the moderator observed.

“Indeed, the ecosystem is changing,” said Pease. “Broadcom’s attempt to simplify support by reducing partner count means service providers must weigh which platforms matter and how to support multiple technologies. If a provider has a mix of platforms, acquiring or merging with specialists can be an easier path to capability than building in-house.”

Lee reflected on his board experience: “Convergence into key players is happening. M&A isn’t just about adding scale, but about adding capability and flexibility – especially in an era where edge, bare-metal, and private cloud co-exist with public cloud. Consolidation may accelerate as smaller providers decide to join forces to gain platform-agnostic service capability and stronger vendor partner status.”

Future of Cloud Services, Edge Computing, and Customer Use Cases

Pease talked about bare-metal customers who are trying to reach end-users directly, like streaming, gaming, and crypto-validation. “Private cloud and bare-metal differ not just in hardware, but in how they are managed: bare-metal often powers edge computing and low-latency use-cases, with requirements for automation and ingestion, whereas private cloud may provide more managed abstractions.”

This is relevant as we look toward the future: “As customer demands diversify,” said Pease, “service-providers must build infrastructure that supports those use-cases. M&A can accelerate access to those capabilities. Also, providers must think about the total addressable market, not just in traditional colocation, but in edge‐adjacent segments.”

Infra/STRUCTURE Summit 2026: Save the Date

If you found these insights from the session useful, mark your calendar now: infra/STRUCTURE Summit 2026 – October 7-8, 2026, at The Wynn Las Vegas in Las Vegas. Pre-registration for next year’s event is now open; please visit www.infrastructuresummit.io to learn more!

The post AI’s Effect on Global Market Expansion Patterns: M&A Challenges and Opportunities in Private Cloud and Edge Cloud appeared first on Data Center POST.

ZincFive^® has closed out 2025 with major industry recognition, earning top honors in the 2025 Power Technology Excellence Awards across four categories: Innovation, Product Launch, Safety, and Environmental Excellence. Powered by GlobalData’s business intelligence, the awards celebrate companies pushing the global power sector forward, and this year’s results underscore ZincFive’s accelerating leadership.

The wins reflect the company’s momentum as demand for high-power, low-impact energy storage solutions continues to intensify. With nearly 2 gigawatts of nickel-zinc (NiZn) systems deployed or contracted worldwide, ZincFive is helping operators meet the explosive requirements of AI-driven data centers while strengthening resilience and reducing environmental impact.

At the center of this progress is ZincFive’s Immediate Power Solutions portfolio, which blends patented NiZn chemistry with intelligent system-level engineering. These systems deliver millisecond-level responsiveness to dynamic loads and operate reliably at higher temperatures, reducing cooling requirements and improving overall efficiency. The award-winning BC 2 AI UPS Battery Cabinet extends this approach even further, providing fast-load support for GPU-intensive AI applications and traditional outage protection in a single compact system. By consolidating functions that once required multiple layers of equipment, it frees valuable white space and simplifies power architecture.

ZincFive’s wins also reinforce the company’s long-standing commitment to safety and sustainability. NiZn technology is inherently safe, built from abundant, recyclable materials and provides lifetime greenhouse gas emissions that are 25 to 50 percent lower than traditional lead-acid and lithium-ion options. This aligns with growing industry expectations for cleaner, more responsible power infrastructure.

These latest honors join a growing list of accolades, including recent recognition on TIME’s 2025 World’s and America’s Top GreenTech Companies lists, the 2024 Edison Award™, CleanTech Breakthrough’s 2024 Overall Innovation of the Year, and more, signaling a defining moment for ZincFive as it continues to set new benchmarks in mission-critical power.

To learn more, reach the full release here.

The post ZincFive Earns Four Wins at the 2025 Power Technology Excellence Awards appeared first on Data Center POST.

There’s something distinctly meaningful about a company that doesn’t just talk about community values, it puts real resources behind them. That’s exactly what Compu Dynamics, the Chantilly-based data center infrastructure leader, demonstrated last month with its $15,000 donation to the Loudoun First Responders Foundation (LFRF), raised through the company’s 6th Annual Charity Golf Tournament.

In an era when many corporations outsource their philanthropic efforts or remain largely disconnected from the communities in which they operate, Compu Dynamics stands out. Since its founding in 2002, the company has maintained deep roots in northern Virginia, and that commitment extends far beyond the bottom line. This year’s record-breaking fundraising effort reflects more than generosity, it reveals a deliberate strategy to strengthen the very fabric that makes Loudoun County resilient.

What makes this donation particularly compelling is the thought behind it. Compu Dynamics didn’t simply write a check to a random cause. Instead, the company recognized that its success as a regional business is inextricably tied to the people and institutions that sustain the community. First responders, including police, firefighters, and emergency personnel, are the backbone of public safety, and when they face unexpected tragedies or crises, they need immediate support. The LFRF provides exactly that through its 100% pass-through model, ensuring every dollar reaches the families who need it most.

“The Loudoun community relies every day on the courage and compassion of our first responders, and there’s no better way to say thank you than by supporting them through organizations like LFRF,” said Steve Altizer, president and CEO of Compu Dynamics.

He captured this philosophy succinctly: The company views supporting first responders and nurturing the local talent pipeline as inseparable from its own mission to power the digital infrastructure that keeps modern business running. There’s a natural alignment here – a company that builds the invisible backbone of cloud computing understands that visible infrastructure matters too: roads patrolled by police, buildings protected by firefighters, and communities strengthened by all those who answer the call to serve.

“We are incredibly grateful for Compu Dynamics’ generosity and their commitment to Loudoun’s first responder community,” said Tina Johnson, president of the LFRF.

But Compu Dynamics’ commitment to Loudoun extends beyond crisis relief. In the same fundraising effort, the company donated $55,000 to Northern Virginia Community College’s Information and Engineering Technologies programs. This forward-thinking approach tackles a critical regional challenge: preparing the next generation of workers for careers in data center operations and digital infrastructure, precisely the skills employers like Compu Dynamics need and communities need to thrive economically.

In six years, the company’s annual charity golf tournament has evolved into one of the region’s most impactful community events. That consistency matters. Philanthropy that shows up year after year, that grows in impact, that strategically addresses both immediate needs and long-term resilience, sends a signal to other companies and community members: This is what responsible corporate citizenship looks like.

For Loudoun County residents, especially those served by first responders, the message is clear: There are businesses here that understand they’re not separate from the community, they’re part of it. And they’re invested in making it stronger.

To learn more, visit Compu Dynamics.

The post Compu Dynamics’ $15,000 Donation Shows What Local Business Success Means for Loudoun Community appeared first on Data Center POST.

The European digital infrastructure community will convene in Paris next spring for the launch of the inaugural infra/CAPITAL Summit, taking place 15–16 April 2026 at the Kimpton St Honoré. Hosted in partnership by Structure Research and The Tech Capital, infra/CAPITAL is designed as a vendor‑neutral, executive‑level gathering dedicated to the intersection of hyperscale AI infrastructure and institutional capital.

Positioned as the European Summit for Hyperscale AI Strategy & Execution, infra/CAPITAL will focus on the capital, infrastructure and policy decisions reshaping how AI and cloud platforms scale across the region. The summit will bring together data centre operators, cloud and hyperscale leaders, infrastructure investors, lenders, advisors and policymakers for two days of focused discussions, market intelligence and high‑value networking.

“We established infra/CAPITAL to create a European platform where the future of hyperscale and AI infrastructure can be designed – not just discussed,” said Philbert Shih, Managing Director at Structure Research. “This summit brings together operators, investors and decision‑makers so we can use data – not hype – to chart a sustainable and scalable path for the next generation of digital infrastructure.”

A Program Built Around Capital, Power and Policy

infra/CAPITAL’s agenda is centred on the realities of building and financing AI‑ready infrastructure in Europe. Sessions will explore topics such as power and site strategy, structuring and pricing risk in hyperscale developments, cross‑border expansion, ESG and regulatory requirements, and the evolving role of neocloud and edge in AI architectures. The program will blend independent research, fireside chats and panel discussions with perspectives from across the ecosystem.

“infra/CAPITAL fills a crucial gap in Europe’s data centre and AI infrastructure ecosystem,” added João Marques Lima, Managing Director at The Tech Capital. “By convening cloud and hyperscale leaders alongside capital allocators and industry analysts, we’re building a vital marketplace of ideas and connections – one that will help drive the investments and partnerships shaping tomorrow’s data economy.”

Networking, Partnerships and a Shared Mission

With curated programming, invite‑driven networking and opportunities for structured and informal conversations, infra/CAPITAL Summit 2026 is designed to help participants forge meaningful relationships and unlock new deal pathways. For Structure Research and The Tech Capital, the event extends a shared mission: to support the global digital infrastructure community with independent insight and to convene the decision‑makers who translate strategy into execution.

To learn more or register for infra/CAPITAL Summit 2026, visit: www.infracapitalsummit.com

For more information about Structure Research visit: www.structureresearch.net

For more information about The Tech Capital visit: www.thetechcapital.com

The post infra/CAPITAL Summit 2026 Heads to Paris as Europe’s Hyperscale AI Forum appeared first on Data Center POST.

As artificial intelligence accelerates across global data centers, conversations often focus on compute, power density, and next-generation infrastructure. But according to Nabeel Mahmood, Strategic Advisor at ZincFive and Brandon Smith, Vice President of Global Sales and Product at ZincFive, the most crucial element of AI scalability isn’t hardware. It’s people.

Moderated by Ilissa Miller, CEO of iMiller Public Relations, this webinar uncovered why the AI workforce, not compute, is the true limitation and what must change for sustainable growth.

People Are the Real Bottleneck in AI Scalability

Mahmood explained that scaling AI isn’t just a matter of adding more servers or GPUs. It requires practitioners who understand data pipelines, model governance, operational resiliency, and infrastructure design. Without skilled talent, organizations face operational risks despite abundant compute. Smith highlighted that AI and machine learning job postings have increased significantly, noting a recent figure showing a 450 percent rise, far outpacing available expertise.

Technical Silos Are Creating a New Skills Crisis

The discussion emphasized a growing gap across disciplines. Electrical, mechanical, IT, and data science teams frequently operate in isolation despite the interdependent nature of modern AI data centers. This fragmentation leads to delays, inefficiencies, and architectures unable to handle today’s dynamic workloads. Smith described the shift from traditional “white space versus black space” to today’s “blended gray space”, where cross-functional knowledge is essential. Mahmood added that the inability to transfer knowledge horizontally and vertically across teams is a major obstacle to scaling AI systems.

Energy Innovation Is Essential for AI Expansion

AI’s spiking, unpredictable workloads challenge a grid that was never designed for ultra-dense compute. Mahmood and Smith both pointed to advanced energy storage solutions, including ZincFive’s high-power nickel-zinc technology, as the key to unlocking performance. These innovations smooth electrical spikes, maximize usable capacity, and support emerging off-grid compute models that reduce dependence on constrained utilities.

Preparing the Future AI Workforce

Both speakers agreed that organizations must treat talent as core infrastructure. That means forecasting future skills, investing in upskilling programs, partnering with universities, and fostering environments where engineers can innovate across disciplines. As Smith noted, the strongest teams of tomorrow will be adaptive, coachable, and ready to evolve alongside rapidly changing AI infrastructure demands.

Watch the webinar below:

The post Why AI Still Needs People: The Workforce Behind the Machines appeared first on Data Center POST.

AI has pushed data center thermal loads to levels the industry has never encountered. Racks that once operated comfortably at 8-15 kW are now climbing past 50-100 kW, driving an accelerated shift toward liquid cooling. This transition is happening so quickly that many organizations are deploying new technologies faster than they can fully understand the operational risks.

In my recent five-part LinkedIn series:

• 2025 U.S. Data Center Incident Trends & Lessons Learned (9-15-2025)
• Building Safer Data Centers: How Technology is Changing Construction Safety (10-1-2025)
• The Future of Zero-Incident Data Centers (1ind0-15-2025)
• Measuring What Matters: The New Safety Metrics in Data Centers (11-1-2025)
• Beyond Safety: Building Resilient Data Centers Through Integrated Risk Management (11-15-2025)

— a central theme emerged: as systems become more interconnected, risks become more systemic.

That same dynamic influenced the Direct-to-Chip Cooling: A Technical Primer article that Steve Barberi and I published in Data Center POST (10-29-2025). Today, we are observing this systemic-risk framework emerging specifically in the growing role of Cooling Distribution Units (CDUs).

CDUs have evolved from peripheral equipment to a true point of convergence for engineering design, controls logic, chemistry, operational discipline, and human performance. As AI rack densities accelerate, understanding these risks is becoming essential.

CDUs: From Peripheral Equipment to Critical Infrastructure

Historically, CDUs were treated as supplemental mechanical devices. Today, they sit at the center of the liquid-cooling ecosystem governing flow, pressure, temperature stability, fluid quality, isolation, and redundancy. In practice, the CDU now operates as the boundary between stable thermal control and cascading instability.

Yet, unlike well-established electrical systems such as UPSs, switchgear, and feeders, CDUs lack decades of operational history. Operators, technicians, commissioning agents, and even design teams have limited real-world reference points. That blind spot is where a new class of risk is emerging, and three patterns are showing up most frequently.

A New Risk Landscape for CDUs

• Controls-Layer Fragility
  • Controls-related instability remains one of the most underestimated issues in liquid cooling. Many CDUs still rely on single-path PLC architectures, limited sensor redundancy, and firmware not designed for the thermal volatility of AI workloads. A single inaccurate pressure, flow, or temperature reading can trigger inappropriate or incorrect system responses affecting multiple racks before anyone realizes something is wrong.
• Pressure and Flow Instability
  • AI workloads surge and cycle, producing heat patterns that stress pumps, valves, gaskets, seals, and manifolds in ways traditional IT never did. These fluctuations are accelerating wear modes that many operators are just beginning to recognize. Illustrative Open Compute Project (OCP) design examples (e.g., 7–10 psi operating ranges at relevant flow rates) are helpful reference points, but they are not universal design criteria.
• Human-Performance Gaps
• • CDU-related high-potential near misses (HiPo NMs) frequently arise during commissioning and maintenance, when technicians are still learning new workflows. For teams accustomed to legacy air-cooled systems, tasks such as valve sequencing, alarm interpretation, isolation procedures, fluid handling, and leak response are unfamiliar. Unfortunately, as noted in my Building Safer Data Centers post, when technology advances faster than training, people become the first point of vulnerability.

Photo Image: Borealis CDU
Photo by AGT

Additional Risks Emerging in 2025 Liquid-Cooled Environments

Beyond the three most frequent patterns noted above, several quieter but equally impactful vulnerabilities are also surfacing across 2025 deployments:

• System Architecture Gaps
  • Some first-generation CDUs and loops lack robust isolation, bypass capability, or multi-path routing. Single points of failure, such as a valve, pump, or PLC drive full-loop shutdowns, mirroring the cascading-risk behaviors highlighted in my earlier work on resilience.
• Maintenance & Operational Variability
• • SOPs for liquid-cooling vary widely across sites and vendors. Fluid handling, startup/shutdown sequences, and leak-response steps remain inconsistent and/or create conditions for preventable HiPo NMs.
• Chemistry & Fluid Integrity Risks
• • As highlighted in the DTC article Steve Barberi and I co-authored, corrosion, additive depletion, cross-contamination, and stagnant zones can quietly degrade system health. ICP-MS analysis and other advanced techniques are recommended in OCP-aligned coolant programs for PG-25-class fluids, though not universally required.
• Leak Detection & Nuisance Alarms
• • False positives and false negatives, especially across BMS/DCIM integrations, remain common. Predictive analytics are becoming essential despite not yet being formalized in standards.
• Facility-Side Dynamics
• • Upstream conditions such as temperature swings, ΔP fluctuations, water hammer, cooling tower chemistry, and biofouling often drive CDU instability. CDUs are frequently blamed for behavior originating in facility water systems.
• Interoperability & Telemetry Semantics
• • Inconsistent Modbus, BACnet, and Redfish mappings, naming conventions, and telemetry schemas create confusion and delay troubleshooting.

Best Practices: Designing CDUs for Resilience, Not Just Cooling Capacity

If CDUs are going to serve as the cornerstone of liquid cooling in AI environments, they must be engineered around resilience, not simply performance. Several emerging best practices are gaining traction:

1. Controls Redundancy
   • Dual PLCs, dual sensors, and cross-validated telemetry signals reduce single-point failure exposure. These features do not have prescriptive standards today but are rapidly emerging as best practices for high-density AI environments.
2. Real-Time Telemetry & Predictive Insight
   • Detecting drift, seal degradation, valve lag, and chemistry shift early is becoming essential. Predictive analytics and deeper telemetry integration are increasingly expected.
3. Meaningful Isolation
   • Operators should be able to isolate racks, lines, or nodes without shutting down entire loops. In high-density AI environments, isolation becomes uptime.
4. Failure-Mode Commissioning
   • CDUs should be tested not only for performance but also for failure behavior such as PLC loss, sensor failures, false alarms, and pressure transients. These simulations reveal early-life risk patterns that standard commissioning often misses.
5. Reliability Expectations
   • CDU design should align with OCP’s system-level reliability expectations, such as MTBF targets on the order of >300,000 hours for OAI Level 10 assemblies, while recognizing that CDU-specific requirements vary by vendor and application.

Standards Alignment

The risks and mitigation strategies outlined above align with emerging guidance from ASHRAE TC 9.9 and the OCP’s liquid-cooling workstreams, including:

• OAI System Liquid Cooling Guidelines
• Liquid-to-Liquid CDU Test Methodology
• ASTM D8040 & D1384 for coolant chemistry durability
• IEC/UL 62368-1 for hazard-based safety
• ASHRAE 90.4, PUE/WUE/CUE metrics, and
• ANSI/BICSI 002, ISO/IEC 22237, and Uptime’s Tier Standards emphasizing concurrently maintainable infrastructure.

These collectively reinforce a shift: CDUs must be treated as availability-critical systems, not auxiliary mechanical devices.

Looking Ahead

The rise of CDUs represents a moment the data center industry has seen before. As soon as a new technology becomes mission-critical, its risk profile expands until safety, engineering, and operations converge around it. Twenty years ago, that moment belonged to UPS systems. Ten years ago, it was batteries. Now, in AI-driven environments, it is the CDU.

Organizations that embrace resilient CDU design, deep visibility, and operator readiness will be the ones that scale AI safely and sustainably.

# # #

About the Author

Walter Leclerc is an independent consultant and recognized industry thought leader in Environmental Health & Safety, Risk Management, and Sustainability, with deep experience across data center construction and operations, technology, and industrial sectors. He has written extensively on emerging risk, liquid cooling, safety leadership, predictive analytics, incident trends, and the integration of culture, technology, and resilience in next-generation mission-critical environments. Walter led the initiatives that earned Digital Realty the Environment+Energy Leader’s Top Project of the Year Award for its Global Water Strategy and recognition on EHS Today’s America’s Safest Companies List. A frequent global speaker on the future of safety, sustainability, and resilience in data centers, Walter holds a B.S. in Chemistry from UC Berkeley and an M.S. in Environmental Management from the University of San Francisco.

The post The Rising Risk Profile of CDUs in High-Density AI Data Centers appeared first on Data Center POST.

A Vision for the Next Era of Compute from Structure Research’s Jabez Tan

Framing the Future of AI Infrastructure

At the infra/STRUCTURE Summit 2025, held October 15–16 at the Wynn Las Vegas, Jabez Tan, Head of Research at Structure Research, opened the event with a forward-looking keynote titled “Where Is AI Taking Data Centers?” His presentation provided a data-driven perspective on how artificial intelligence (AI) is reshaping digital infrastructure, redefining scale, design, and economics across the global data center ecosystem.

Tan’s session served as both a retrospective on how far the industry has come and a roadmap for where it’s heading. With AI accelerating demand beyond traditional cloud models, his insights set the tone for two days of deep discussion among the sector’s leading operators, investors, and technology providers.

From the Edge to the Core – A Redefinition of Scale

Tan began by looking back just a few years to what he called “the 2022 era of edge obsession.” At that time, much of the industry believed the future of cloud would depend on thousands of small, distributed edge data centers. “We thought the next iteration of cloud would be hundreds of sites at the base of cell towers,” Tan recalled. “But that didn’t really happen.”

Instead, the reality has inverted. “The edge has become the new core,” he said. “Rather than hundreds of small facilities, we’re now building gigawatts of capacity in centralized regions where power and land are available.”

That pivot, Tan emphasized, is fundamentally tied to economics, where cost, energy, and accessibility converge. It reflects how hyperscalers and AI developers are chasing efficiency and scale over proximity, redefining where and how the industry grows.

The AI Acceleration – Demand Without Precedent

Tan then unpacked the explosive demand for compute since late 2022, when AI adoption began its steep ascent following the launch of ChatGPT. He described the industry’s trajectory as a “roller coaster” marked by alternating waves of panic and optimism—but one with undeniable momentum.

The numbers he shared were striking. NVIDIA’s GPU shipments, for instance, have skyrocketed: from 1.3 million H100 Hopper GPUs in 2024 to 3.6 million Blackwell GPUs sold in just the first three months of 2025, a threefold increase in supply and demand. “That translates to an increase from under one gigawatt of GPU-driven demand to over four gigawatts in a single year,” Tan noted.

Tan linked this trend to a broader shift: “AI isn’t just consuming capacity, it’s generating revenue.” Large language model (LLM) providers like OpenAI, Anthropic, and xAI are now producing billions in annual income directly tied to compute access, signaling a business model where infrastructure equals monetization.

Measuring in Compute, Not Megawatts

One of the most notable insights from Tan’s session was his argument that power is no longer the most accurate measure of data center capacity. “Historically, we measured in square footage, then in megawatts,” he said. “But with AI, the true metric is compute, the amount of processing power per facility.”

This evolution is forcing analysts and operators alike to rethink capacity modeling and investment forecasting. Structure Research, Tan explained, is now tracking data centers by compute density, a more precise reflection of AI-era workloads. “The way we define market share and value creation will increasingly depend on how much compute each facility delivers,” he said.

From Training to Inference – The Next Compute Shift

Tan projected that as AI matures, the balance between training and inference workloads will shift dramatically. “Today, roughly 60% of demand is tied to training,” he explained. “Within five years, 80% will be inference.”

That shift will reshape infrastructure needs, pushing more compute toward distributed yet interconnected environments optimized for real-time processing. Tan described a future where inference happens continuously across global networks, increasing utilization, efficiency, and energy demands simultaneously.

The Coming Capacity Crunch

Perhaps the most sobering takeaway from Tan’s talk was his projection of a looming data center capacity shortfall. Based on Structure Research’s modeling, global AI-related demand could grow from 13 gigawatts in 2025 to more than 120 gigawatts by 2030, far outpacing current build rates.

“If development doesn’t accelerate, we could face a 100-gigawatt gap by the end of the decade,” Tan cautioned. He noted that 81% of capacity under development in the U.S. today comes from credible, established providers, but even that won’t be enough to meet demand. “The solution,” he said, “requires the entire ecosystem, utilities, regulators, financiers, and developers to work in sync.”

Fungibility, Flexibility, and the AI Architecture of the Future

Tan also emphasized that AI architecture must become fungible, able to handle both inference and training workloads interchangeably. He explained how hyperscalers are now demanding that facilities support variable cooling and compute configurations, often shifting between air and liquid systems based on real-time needs.

“This isn’t just about designing for GPUs,” he said. “It’s about designing for fluidity, so workloads can move and scale without constraint.”

Tan illustrated this with real-world examples of AI inference deployments requiring hundreds of cross-connects for data exchange and instant access to multiple cloud platforms. “Operators are realizing that connectivity, not just capacity, is the new value driver,” he said.

Agentic AI – A Telescope for the Mind

To close, Tan explored the concept of agentic AI, systems that not only process human inputs but act autonomously across interconnected platforms. He compared its potential to the invention of the telescope.

“When Galileo introduced the telescope, it challenged humanity’s view of its place in the universe,” Tan said. “Large language models are doing something similar for intelligence. They make us feel small today, but they also open an entirely new frontier for discovery.”

He concluded with a powerful metaphor: “If traditional technologies were tools humans used, AI is the first technology that uses tools itself. It’s a telescope for the mind.”

A Market Transformed by Compute

Tan’s session underscored that AI is redefining not only how data centers are built but also how they are measured, financed, and valued. The industry is entering an era where compute density is the new currency, where inference will dominate workloads, and where collaboration across the entire ecosystem is essential to keep pace with demand.

Infra/STRUCTURE 2026: Save the Date

Want to tune in live, receive all presentations, gain access to C-level executives, investors and industry leading research? Then save the date for infra/STRUCTURE 2026 set for October 7-8, 2026 at The Wynn Las Vegas. Pre-Registration for the 2026 event is now open, and you can visit www.infrastructuresummit.io to learn more.

The post Where Is AI Taking Data Centers? appeared first on Data Center POST.

Empire Fiber Internet, the award-winning Northeast fiber optic service provider, is celebrating the holiday season with the Geneva community by proudly sponsoring the upcoming production of Charles Dickens’ A Christmas Carol at The Smith Center for the Arts on December 12.

Empire Fiber Internet has long provided fast, reliable fiber service to residents and businesses in Geneva, including The Smith Center for the Arts, and continues to deepen its community involvement as its local footprint grows.

“The Smith has been a satisfied customer of Empire Access since 2018,” said Susan Monagan, Executive Director of The Smith Center for the Arts. “Now we have deepened our relationship and are proud to call them a show sponsor. We are so grateful that they acknowledge The Smith’s value to our region and the joy live productions such as ‘A Christmas Carol’ bring to our neighbors and friends.”

A Christmas Carol remains one of the most cherished holiday stories, known for its message of generosity and redemption. This year’s production brings the classic tale to life with more than two dozen Christmas carols and memorable portrayals of Ebenezer Scrooge, Jacob Marley, and the Ghosts of Christmas Past, Present, and Future.

“We’re so happy to sponsor this terrific production that continues to entertain families,” said Kevin Dickens, Empire Fiber Internet’s CEO. “It’s another opportunity to partner with The Smith and show our support for such a great organization. We love participating in meaningful ways in the communities we serve and helping all the great organizations we provide service to.”

Visitors can meet Empire Fiber Internet representatives in the lobby before the show to learn more and enjoy giveaways, games, and information about fiber internet.

To learn more about Empire Fiber Internet, visit www.empireaccess.com.

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The global data center rack and enclosure market was valued at USD 4.6 billion in 2024 and is projected to grow at a CAGR of 8.4% from 2025 to 2034, according to a recent report by Global Market Insights Inc.

The increasing adoption of edge computing, spurred by the proliferation of Internet of Things (IoT) devices, is a significant driver of market growth. The surge in modular data centers, known for their portability and scalability, boosts demand for adaptable racks and enclosures. These systems enable businesses to expand data center capacity incrementally without committing to large-scale infrastructure. Modular designs often require specialized racks and enclosures that are quick to deploy and flexible enough to meet evolving operational demands.

By component, the data center rack and enclosure market is segmented into solutions and services. In 2024, the solutions segment captured 75% of the market share and is expected to reach USD 7 billion by 2034. The increasing complexity of tasks like artificial intelligence (AI), machine learning (ML), and big data processing drives demand for high-density rack solutions. These racks optimize space utilization, a critical factor in environments with constrained power, cooling, and availability. Advanced cooling mechanisms, such as liquid cooling and airflow optimization, are essential features supporting these dense configurations.

In terms of application, the market is categorized into manufacturing, BFSI, colocation, government, healthcare, IT & telecom, energy, and others. The IT & telecom segment accounted for 32% of the market share in 2024. The shift towards cloud computing is revolutionizing IT and telecom industries, increasing the demand for robust data center infrastructure. Scalable and efficient racks and enclosures are essential to handle growing data volumes while ensuring optimal performance in cloud-based operations.

North America dominated the global data center rack and enclosure market in 2024, holding a 40% market share, with the U.S. leading the region. The presence of major cloud service providers like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure has driven significant data center expansion in the region. This growth necessitates modular, flexible, scalable rack and enclosure solutions to support dynamic storage needs. Additionally, substantial investments by government entities and private enterprises in digital transformation and IT infrastructure upgrades further fuel market expansion.

The demand for innovative, high-performance data center racks and enclosures continues to rise as industries embrace digital transformation and advanced technologies. This trend ensures a positive outlook for the market through the forecast period.

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At infra/STRUCTURE Summit 2025, industry leaders from Inflect, NTT and NextDC explored how AI is accelerating development timelines, reshaping deal structures, and redrawing the global data center map.

The infra/STRUCTURE Summit 2025, held at The Wynn Las Vegas from October 15–16, 2025 convened the brightest minds in digital infrastructure to explore the seismic shifts underway in the age of artificial intelligence. Among the most forward-looking sessions was “AI Impact on Global Market Expansion Patterns,” a discussion that unpacked how AI is transforming where and how data centers are developed, financed, and operated worldwide.

Moderated by Swapna Subramani, Research Director, IMEA, for Structure Research, the panel featured leading executives including Mike Nguyen, CEO, Inflect; Steve Lim, SVP, Marketing & GTM, NTT Global Data Centers; Craig Scroggie, CEO and Managing Director, NEXTDC. Together, they examined how the explosive demand for AI compute power is pushing developers to rethink long-held assumptions about geography, energy, and risk.

AI Is Rewriting the Rules of Global Expansion

For decades, site selection decisions revolved around a handful of core variables: power cost, connectivity, and proximity to major user populations. But in 2025, those rules are being rewritten by the unprecedented scale of AI workloads.

Regions once considered secondary are suddenly front-runners. Scroggie noted how saturation in markets like Singapore and Hong Kong has forced expansion across Thailand, Indonesia, Malaysia, and India, each now racing to deliver power, land, and permitting capacity fast enough to attract global hyperscalers.

“You can’t build large campuses in Singapore anymore,” Scroggie said. “But throughout Southeast Asia, we’re seeing rapid acceleration as operators balance scale, sustainability, and access to emerging population centers.”

The panelists agreed that energy constraints, not capital, are now the primary limiting factor. “The short term is about finding locations where power exists at scale,” explained Scroggie. “The longer-term challenge is developing new storage and generation models to make that power sustainable.”

Geopolitics and Sovereignty Are Shaping Investment

AI’s global reach has also brought geopolitics and national sovereignty to the forefront of infrastructure strategy.

“We’re living in more challenging times than ever before,” said Nguyen, referencing chip export restrictions and international trade interventions. “AI is no longer just a technological conversation, it’s a matter of national defense and economic competitiveness.”

He noted that ongoing trade restrictions with China are reshaping who gets access to advanced chips and where they can be deployed. “The combination of geopolitical and local legislative pressures determines the future of global trade management,” Nguyen said.

As countries strengthen data sovereignty and privacy laws, regional differentiation is intensifying. “Every geography has a different view,” Nguyen continued. “Some nations are creating frameworks to enable AI and cross-border data sharing, others are locking down their ecosystems entirely.”

Scroggie echoed this, adding that sovereignty-driven strategies are driving a surge in localized buildouts. “We’re seeing more countries push to ensure domestic control of digital assets,” he said. “That’s changing the structure of global supply chains and creating ripple effects that extend well beyond national borders.”

The Industry’s Race Against Time

The conversation turned toward construction velocity, a challenge every developer feels acutely.

“Are we building fast enough?” Subramani, the moderator of the conversation asked.

“Simply put, no,” said Scroggie. “We can’t keep up with demand. Traditional 12-to-24-month build cycles no longer align with AI’s acceleration curve. We have to find a way to build differently.”

The group discussed the need for new modular construction methods, accelerated permitting, and AI-assisted project management to meet scale and speed requirements.

Nguyen framed it within the broader context of industrial history. “We are standing at the dawn of the next industrial revolution,” he said. “Just as steam, electricity, and the internet reshaped economies, AI will redefine global competitiveness. The countries that can deliver sustainable, affordable power will lead.”

He pointed to the “Jacquard Paradox” of AI infrastructure: the more intelligence we produce, the cheaper it becomes, and the more of it the world demands. “The hallmark of global competitiveness will be the unit cost of producing intelligence,” Nguyen explained. “That requires deep collaboration between developers, energy providers, and governments.”

Evolving Deal Structures Reflect a More Complex Market

The financial framework of data center development is also changing dramatically. Traditional “build-to-suit” models are giving way to more creative, multi-tiered partnerships as both hyperscalers and institutional investors seek flexibility and risk mitigation.

“There’s a diversity of players now entering the market, some with deep operational experience, others completely new to the space,” said Scroggie. “Everyone’s chasing the same megawatts, but their risk tolerance and credit profiles vary widely.”

Scroggie also described how education and transparency have become critical. “We’re constantly advising clients on what’s feasible and what’s not. Many are coming in with unrealistic expectations about speed, power, or pricing. It’s part of our job to bridge that gap.”

The consensus was clear: AI-driven demand has transformed data centers from real estate assets into strategic infrastructure platforms, with financial, political, and environmental implications far beyond the industry itself.

Looking Ahead: The Next Decade of AI-Driven Infrastructure

As the discussion drew to a close, the panelists reflected on the extraordinary pace of change. “AI is not replacing, it’s additive,” said Scroggie. “Every new workload, every new inference model adds demand. The scale we’re dealing with is unprecedented.”

In this new era, speed, sustainability, and sovereignty are the defining dimensions of competitiveness. The industry’s success will hinge on its ability to innovate faster than the challenges it faces, whether those are regulatory, environmental, or geopolitical.

“We’re building the highways of the digital era,” said Nguyen in closing. “And like every industrial revolution before it, those who solve the energy equation will lead the world.”

Infra/STRUCTURE 2026: Save the Date

Want to tune in live, received all presentations, gain access to C-level executives, investors and industry leading research? Then save the date for infra/STRUCTURE 2026 set for October 7-8, 2026 at The Wynn Las Vegas.  Pre-Registration for the 2026 event is now open, and you can visit www.infrastructuresummit.io to learn more.

The post AI’s Impact on Global Market Expansion Patterns: How Artificial Intelligence Is Redefining the Future of Global Infrastructure appeared first on Data Center POST.

How new entrants are reshaping data center operations, capital models, and sustainable development

At the infra/STRUCTURE Summit 2025, held October 15–16 at The Wynn Las Vegas, one of the most engaging conversations explored how a new generation of operators is reshaping the data center landscape.

The session, “New Operating Platforms,” moderated by Philbert Shih, Managing Director of Structure Research, brought together executives leading some of the most innovative digital infrastructure ventures: Ernest Popescu, CEO of Metrobloks Data Centers; Eanna Murphy, Founder and CEO of Montera Infrastructure; and Chuck McBride, CEO of Atmosphere Data Centers.

Together, they discussed how new business models, evolving capital structures, and sustainability commitments are redefining what it means to operate in the fast-changing world of digital infrastructure.

Identifying Gaps in a Rapidly Evolving Market

Shih opened the discussion by noting that the surge in investment across digital infrastructure has created room for new operating platforms to emerge.

“The industry has arguably over-indexed on hyperscale and colocation,” Shih said. “But the opportunity now lies in the gaps, in the diverse mix of services, geographies, and market segments that remain underserved.”

He challenged the panelists to explore how their platforms are addressing those gaps, and what kinds of efficiencies or innovations are shaping their approach.

Building for Speed and Efficiency

Murphy described his company’s focus on secondary and emerging markets, areas where demand is strong but infrastructure capacity has lagged.

“We wanted to look at regions where enterprise customers were underserved,” Murphy said. “Our model focuses on connecting Tier 2 cities and surrounding areas, delivering capacity closer to users and creating new connectivity ecosystems.”

Murphy emphasized that Montera’s approach is designed for speed and scale, combining pre-engineered designs and local partnerships to accelerate delivery.

“Even in smaller markets,” Murphy said, “you can build meaningful density if you plan it right and align with community needs.”

Balancing Capital, Capacity, and Time-to-Market

Popescu noted that access to capital remains one of the biggest hurdles for new operators, especially those outside traditional hyperscale markets.

“There’s plenty of opportunity in the market, but capital deployment still comes down to risk tolerance and timing,” Popescu said. “You can’t shortcut power availability, but you can manage time-to-market with flexible models and smart partnerships.”

Metrobloks focuses on developing scalable, self-performable campuses in underserved markets, combining modular design with utility partnerships to bring new capacity online faster.

“It might not be massive by hyperscale standards,” Popescu said. “But for our customers, being able to access distribution power in 12 to 18 months can make all the difference.”

Sustainability and the Next Generation of Infrastructure

For McBride, sustainability and long-term adaptability are at the heart of his company’s strategy.

“We made a conscious choice not to inherit legacy assets,” McBride said. “Instead, we’re building brand-new AI-ready campuses in underserved markets, what we call next-generation training centers.”

Atmosphere’s developments prioritize renewable energy integration and community revitalization. McBride described projects that convert industrial land, such as former power plant sites, into modern digital campuses.

“We’re taking coal-fired sites and turning them into green campuses,” McBride said. “It’s about giving these sites a second life while meeting the demands of AI and high-performance computing.”

Adapting to Changing Technology Cycles

The conversation turned to how operators are preparing for rapid changes in compute and chip technology, particularly as AI drives unprecedented density and cooling requirements.

Murphy noted the growing challenge of aligning long-term infrastructure planning with short hardware cycles.

“Every six months we’re seeing new chip architectures from NVIDIA, AMD, and others,” Murphy said. “But the data center development cycle is still three to five years. The challenge is designing for what’s next without overcommitting to what’s current.”

Panelists agreed that future-proofing is now a key differentiator, with flexibility, modularity, and liquid cooling readiness built into early designs.

Smarter Capital and Better Collaboration

Reflecting on the evolution of the investment landscape, Popescu shared that today’s capital partners are far more informed about the digital infrastructure asset class than even a few years ago.

“Institutional investors have become much more educated,” Popescu said. “The conversations are smarter, and there’s a better understanding of the balance between cost, speed, and sustainability.”

McBride added that hyperscalers, too, have shown greater willingness to adapt pricing and partnership structures in response to development challenges.

“Three years ago, I had never seen the major cloud players react so quickly,” McBride said. “They know developers are essential to getting capacity online, and that alignment benefits everyone.”

The Opportunity Ahead

In closing, Shih reflected on how the emergence of these new operating platforms is reshaping the broader ecosystem.

“We’re watching the rise of operators who are not just building capacity but reimagining how the industry functions,” Shih said. “They’re bridging the gap between capital, sustainability, and innovation, and that’s what will define the next phase of growth.”

As the digital infrastructure industry continues to evolve, these leaders are demonstrating that success now depends as much on creativity and collaboration as it does on capital and construction.

Infra/STRUCTURE 2026: Save the Date

Want to tune in live, receive all presentations, gain access to C-level executives, investors and industry leading research? Then save the date for infra/STRUCTURE 2026 set for October 7-8, 2026 at The Wynn Las Vegas. Pre-Registration for the 2026 event is now open, and you can visit www.infrastructuresummit.io to learn more.

The post Redefining Investment and Innovation in Digital Infrastructure appeared first on Data Center POST.