ModelRefs / BentoML — AI Glossary
BentoML — AI Glossary
A framework for packaging ML models into standardized services deployable to cloud, Kubernetes, or serverless environments.
Overview
BentoML defines a Service abstraction wrapping any model (PyTorch, HuggingFace, LangChain) with HTTP/gRPC endpoints, batching, and scaling policies. Bentos (packaged services) are containerized with all dependencies. BentoCloud provides managed deployment; open-source supports Kubernetes, AWS Lambda, and on-prem.
Reference details
| Topic | infrastructure |
|---|---|
| Last reviewed | 2026-06-24 |
Related terms
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Frequently asked questions
What is BentoML?
A framework for packaging ML models into standardized services deployable to cloud, Kubernetes, or serverless environments.
What concepts are related to BentoML?
Closely related concepts include ray serve, triton inference server, serverless inference.