Cerebrium

Cerebrium developer documentation for real-time and production AI workloads. Learn how to deploy low-latency inference APIs, voice agents, multi-region apps, serverless GPUs and CPUs, and workloads that need strong cold-start and scaling performance.

Skills

• 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.

How to call

https://cerebrium.ai/docs

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