26B Gemma 4 Deployment with NVIDIA L4, MCP, Cloud Run, and Antigravity CLI
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Step-by-step deployment guide for Gemma 4 on Cloud Run with GPU, highly actionable and relevant.
NVIDIA L4 GPUs on Cloud Run host a 26B Gemma 4 model via vLLM, managed through a suite of Python MCP tools. The Antigravity CLI (successor to Gemini CLI) connects to the MCP server over stdio transport, enabling provisioning, observability, and performance testing. A guided setup clones the gemma4-tips repo, configures environment variables, and validates the local MCP connection before deploying.
- Clone the gemma4-tips repo, run init.sh, and connect Antigravity CLI to the local Python MCP server to manage your vLLM-hosted Gemma 4 deployment on Cloud Run.
For platform engineers evaluating GPU-backed AI agents, this offers a concrete pattern for combining Cloud Run, vLLM, and open MCP tooling to build a self-hosted DevOps assistant without abandoning serverless convenience.