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Cerebrium

cerebrium.ai

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.

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Key facts

Card
https://cerebrium.ai/.well-known/agent-card.json
Card version
A2A v1.0 shape
Interfaces
  • HTTP+JSON, protocol version 0.3, at cerebrium.ai
Streaming
No
Push notifications
No
Extended card
No
Authentication
No security scheme declared
Signed
No
Provider
Cerebrium
Documentation
https://cerebrium.ai/docs/
Tranco rank
597,891
Last seen

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…

    Id cerebrium

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