BentoML packages models, code and dependencies into a reproducible artifact and serves it as a scalable API, with adaptive batching built in.
| Category | Inference server |
| Type | Model packaging & serving |
| License | Apache-2.0 |
| Runs locally | Yes |
| Built with | Python |
| Skill level | Intermediate |
| Best for | shipping models to production reproducibly |
Other open-source inference server tools worth comparing:
vLLMHigh-throughput serving for production
TGIHugging Face's production text server
SGLangFast serving with structured outputs
LMDeployToolkit for compressing and serving LLMs
Aphrodite EngineHigh-throughput LLM serving
TensorRT-LLMPeak throughput on NVIDIA GPUs
OpenLLMServe any open model as an OpenAI API in one command
KTransformersRun huge MoE models on one consumer GPU
Ray ServeScale model serving across a clusterBentoML is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Yes. BentoML is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include vLLM, TGI, SGLang. See the comparisons above to choose.
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