Inference servingOpen sourceUpdated 2026
BentoML
Advanced · AI service platform
Model serving platform for packaging, deploying, and operating AI services.
Best for
Teams turning model code into deployable services with repeatable infrastructure.
Why use it
Useful when you need deployment packaging around model serving, not just a raw model server.
Tradeoffs
May be more platform than a simple local model demo needs.
Key features
- Model packaging
- Service deployment
- Serving infrastructure
Alternatives
vLLM, TGI, Modal
Where it fits
BentoML belongs in the inference serving layer of an open AI stack. Evaluate it against your model runtime, privacy needs, deployment target, and the amount of operational complexity your team can support.
CategoryInference servingLicenseApache 2.0DeploymentAI service platformModeSelf-hosted or cloud
BentoML GitHub →Recommendation
Use BentoML when model serving needs deployment packaging.