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cerebriumai/cerebrium

v0.1.0MIT

Official Cerebrium agent skills and hosted docs MCP: deploy and operate real-time AI workloads on serverless GPU and CPU (REST, streaming, WebSocket and async endpoints), with verified cerebrium.toml, hardware and autoscaling guidance.

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cerebrium

Use for any Cerebrium task: deploying Python code to serverless GPU or CPU, writing or fixing cerebrium.toml, choosing hardware and regions, calling deployed endpoints (REST, streaming, WebSocket, async), autoscaling and concurrency, cold starts, secrets, CI/CD, and debugging a build or a running app from the terminal. Covers the cerebrium CLI, configuration defaults the API actually applies, accepted GPU identifiers with per-plan limits, and troubleshooting.