The orchestration platform for AI-scale infrastructure

Run AI infrastructure at scale. Without losing control.

With our Palette management platform, we help enterprises and public sector organizations modernize and scale infrastructure for AI workloads — from core to cloud to edge, and metal to model.

Run AI infrastructure at scaleKubernetes management platform UI

Trusted by cloud native pioneers

State of Edge AI report

The State of Edge AI report

How far have organizations really come in bringing AI to the edge? Our new research reveals the edge AI trends you need to know about.

What we do

AI infrastructure is expanding faster than enterprises’ ability to keep up. Complexity and costs are out of control, vendor sprawl is a major headache, and innovation and time to market suffer.

Palette provides a unified orchestration plane to design, deploy, and manage full-stack AI and modern infrastructure environments across edge, data center, and cloud.

Whether you’re building AI factories, scaling edge inferencing, or managing multicloud Kubernetes fleets, you get the control, efficiency, and architectural flexibility required to operate at scale - without vendor lock-in.

Where can we help you today?

AI initiatives

Deploy and manage the full AI infrastructure stack, from metal to model

Enable AI-as-a-service with an intuitive practitioner experience

Strong security and multitenancy for sovereign and regulated use cases

Edge computing projects

Scale to thousands of sites with centralized orchestration

Secure the edge from silicon to application

Automate away field engineering costs

Government and defense

Purpose-built for mission environments with FIPS and FedRAMP

Unified orchestration from high-side data center and govcloud to tactical edge

Full-stack, full-lifecycle automation for speed and control

Full-stack fleet management

Design flexible Kubernetes-based stacks from OS to application

Manage at scale across bare metal, virtualized, multicloud, and edge

Automate the entire lifecycle to control cost and complexity

The future of your VMs is here
Looking for a VMware alternative? Choose the modern virtualization solution built for cloud-native: Palette Virtual Machine Orchestrator (VMO).

Your infrastructure, just the way you want it

We offer out-of-the-box integrations with all the most popular projects... and if we don’t have it, you can bring your own. Palette and PaletteAI free you to build the perfect stack for your applications, from OS and Kubernetes distribution, to observability, security, and AI platforms, all the way to your apps. Then deploy it to the widest possible choice of environments. We’re not opinionated - so you can be!

“Using Palette, we can monitor everything, both on cloud and on-prem. We can automate deployment and upgrade the entire stack, from the OS to our algorithms in the field — seamlessly, with a single click, without impacting patient care. This was absolutely critical, given the scale of deployment.”
– Amit Phadnis, Chief Innovation Technology Officer
Read the full story
“Our collaboration with Spectro Cloud and Canonical is not only deeply fulfilling but also emblematic of our shared passion to push boundaries and actualize groundbreaking innovations.”
– Bogdan Mitrea, Architect
Read the full story
“Spectro Cloud Palette answered a lot of things for us. With Palette we can extend declarative management to on-premises edge and OS layers, reducing cost and complexity — and ultimately providing better patient outcomes.”
– Benjamin Beeman, Senior Staff Engineer
Read the full story
“Our clients rely on us to deliver superior technology quickly and efficiently. Our partnership with Spectro Cloud has helped us become more agile throughout the provisioning process while also providing us with an efficient way to remotely manage clusters.”
– Jason Mock, Senior Vice President of Software Solutions
Read the full story

Take your next step

Unleash AI-scale infrastructure with full control over cost and complexity. Book a 1:1 demo with one of our experts today.

Book a meeting