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CerebriumCerebriumOfficial Cerebrium agent skills and hosted docs MCP: deploy and operate real-time AI workloads on serverless GPU and CPU (REST, streaming... Publisher keywords · listing serverless gpu inference deployment machine-learning llm vllm autoscaling cold-start streaming websockets cerebrium Show in context →2 more matching sourcesPublisher description …ted 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. Show in context →Publisher full description …on serverless GPU and CPU with scale to zero and per second billing: REST endpoints, SSE streaming, WebSockets and async jobs, all described by one cerebrium.toml and driven by one CLI. This plugin helps you go from a Python function to a deployed endpoint, and then keep it healthy. It covers choosi… Show in context → |
OtherVersion 0.1.0 | View details → |