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| Plugin / developer | Category | Follow |
|---|---|---|
CerebriumCerebrium 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… …It is built for inference APIs for language, embedding and vision models, real time voice and video apps, bursty traffic that should not hold idle GPUs, multi region deployments, and migrations from Replicate, Hugging Face or Mystic. Show in context →2 more matching sourcesPublisher keywords · listing serverless gpu inference deployment machine-learning llm vllm autoscaling cold-start streaming websockets cerebrium Show in context →Publisher 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 → |
OtherVersion 0.1.0 | View details → |