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BENTOML
Package, serve, and scale AI systems
Apache-2.0
ABOUT
Shipping AI systems to production usually means combining model packaging, API serving, autoscaling, and infrastructure glue from several different tools before a team can deploy reliably. BentoML provides a unified framework to package models and custom inference pipelines, expose them as services, and run them consistently across local and cloud environments.
INSTALL
pip install bentomlINTEGRATION GUIDE
1. Serve OpenAI-compatible model APIs from your own infrastructure or cloud environment
2. Deploy private RAG systems and custom inference services for internal or customer-facing apps
3. Package and scale agent backends, batch jobs, or multimodel AI application workflows
4. Standardize model serving for teams that need repeatable builds and deployments
TAGS
inferencedeploymentservingllmragagentsopen-source