Cerebrium
Cerebrium · cerebrium.ai
Cerebrium runs Python workloads 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.
How to install Cerebrium in ChatGPT
- Open the official listing for Cerebrium in the ChatGPT workspace you want to use.
- Choose Install plugin if available. Follow any connection steps for the apps listed on the page.
- Open a new conversation on a supported ChatGPT surface. Select Cerebrium from the plugin options or mention it by name.
How to use Cerebrium
Check the marketplace listing or publisher’s documentation for supported actions and examples.
Historial de posiciones
Consulta el orden de los plugins en el directorio público de ChatGPT por fecha de captura. Popular es una selección editorial. OpenAI no publica cifras de instalaciones ni de uso en este directorio.
Frequently asked questions
Why is Install plugin missing?
Check your account, workspace, plan and region. If the listing says Desktop only, open it in the ChatGPT desktop app.
Información
This plugin helps you go from a Python function to a deployed endpoint, and then keep it healthy. It covers choosing hardware, regions and the right runtime, writing and fixing cerebrium.toml, picking a scaling metric that matches the workload, calling the endpoint over REST, streaming, WebSocket or async, handling secrets and environment variables, wiring CI/CD with a service account, and debugging a failed build or an app that is queueing or returning 5xx. 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.
Funciones
- Read
- Write