BentoML
An open-source framework for packaging, serving, and deploying ML models as production-ready API services — handles batching, concurrency, and containerization.
API & Serving Intermediate
Category
API & Serving
Difficulty
Intermediate
When to use
You have a trained model and need to ship it as a reliable, scalable API with proper batching, runner management, and Docker packaging.
When not to use
You're serving an LLM specifically — vLLM or TGI are purpose-built for that. BentoML shines for classical ML and custom inference pipelines.
Alternatives
Ray Serve TorchServe Triton