Which fine-tuning path should you choose: Vertex AI or GKE? - Choose Vertex AI if you want to iterate quickly, prefer a managed service, and are building on top of Google’s powerful Gemini models. - Choose GKE if you need deep customization, are committed to the open-source ecosystem (Hugging Face, Llama, etc.), or need to integrate training tightly into an existing Kubernetes-based platform. Check out our two new hands-on labs that cover these two different fine-tuning options on Google Cloud → https://goo.gle/3OZqmEl
Google Cloud
Software Development
Mountain View, California 3,183,780 followers
Welcome to the new way to cloud.
About us
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
- Website
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https://cloud.google.com/
External link for Google Cloud
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, California
Updates
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#GooglCloudNext is the largest annual gathering of developers building on Google Cloud! Check out our developer's guide to Next '26, focusing on the building blocks of the future: agentic AI, modern infrastructure, and hands-on problem-solving→ https://goo.gle/40qTmHO
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We're improving the planning workflow with the new plan mode in Gemini CLI! Plan mode is a 𝙧𝙚𝙖𝙙-𝙤𝙣𝙡𝙮 mode that restricts Gemini CLI to a subset of its tools. When active, the agent can navigate your codebase, search for patterns, and read documentation, but it cannot modify any files except for its own internal plans. Here's how to get started with plan mode → https://goo.gle/3Nq6IB3
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When it comes to informing line-up changes, assessing potential trades, or enhancing the fan experience, the Golden State Warriors count on its G.O.A.T.T: the greatest of all-time technologies. Go inside the Golden State Warriors' AI-powered back office → https://goo.gle/4lqAYbz
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High activity on your internal developer platform doesn’t necessarily mean high value. In this blog, Alex Moss from the John Lewis platform team discusses how they moved beyond simple usage metrics to develop a sophisticated, multi-stage approach to measuring the real value of their platform → https://goo.gle/3P2pMpE
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Custom commands are triggered by you, but Skills are triggered by agents. Gemini CLI can automatically activate Skills for specific subtasks as it builds, keeping you in the flow without manual /commands. See them in action → https://goo.gle/4lm3tHk
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Benifex’s Project Brain is a multi-agent system that uses Vertex AI, Gemini models, and AlloyDB to guide HR teams through every benefits decision. Project Brain lets HR teams ask questions like, “What benefits should we offer our new team in Spain?” and get trustworthy, data-driven advice back in seconds. Learn how Benifex utilizes AI to power a faster way to competitive benefits ↓
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Ready to use machine learning APIs on Google Cloud? Take this Google Skills course to learn the basics of the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API → https://goo.gle/3OWa6nV
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Stop worrying about infrastructure. GKE Autopilot handles the security and scaling so you can focus on your code. It's Kubernetes made easy. Automate your infrastructure today → https://goo.gle/4lxs9wU
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We’re bringing the serverless experience to high-end inference with support for NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPUs on Cloud Run. Now in preview, you can deploy massive models like Gemma 3 27B or Llama 3.1 70B with the ‘deploy and forget’ experience you’ve come to expect from Cloud Run. No reservations. No cluster management. Just code → https://goo.gle/4cFTBGh
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