Models & platforms
BentoML
An open-source framework and platform for packaging and serving AI models.
BentoML is an open-source framework and platform for packaging and serving AI models. Its reviewed product surface includes model service packaging and local, cloud, and container deployment workflows. The primary documented workflow is to turn model code into deployable inference services.
Key features
- Model service packaging
- Local, cloud, and container deployment workflows
Pros and tradeoffs
Strengths
- Open-source packaging provides control across environments
Consider before choosing
- Production operations still require infrastructure and monitoring choices
What people use BentoML for
- turn model code into deployable inference services
Frequently asked questions
What is BentoML best suited for?
BentoML is best evaluated for teams or individuals who need to turn model code into deployable inference services. Confirm current limits and terms on the official site.
