BentoML
BentoML is a Python library for building and deploying AI model services.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 8.7k
- Source
- GitHub
- Added
- 2026-06-05
- Last verified
- 2026-06-05
Overview
BentoML is a Python library for building and deploying AI model services. It simplifies the process of turning any AI/ML model into a REST API server, managing environments, dependencies, and model versions through simple configuration files, and automatically generating Docker images to ensure reproducibility. BentoML is ideal for developers who need to rapidly develop, test, and deploy AI applications.
Key features
- ▪Easily build APIs for any AI/ML model
- ▪Simplify Docker container generation and management
- ▪Maximize CPU/GPU utilization
- ▪Support custom business logic
- ▪Seamless local-to-production deployment
Use cases
Pros
- ＋Easy to get started
- ＋High-performance inference optimization
- ＋Comprehensive framework compatibility
- ＋Supports multiple modalities
Limitations / notes
- －Requires Python version ≥3.9
- －Additional dependencies needed for runtime
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
How do I get started with BentoML?
After installing BentoML, define your API in service.py, then run the `bentoml serve` command locally.
Does BentoML support GPU acceleration?
Yes, if available, BentoML will automatically leverage CUDA for acceleration.
Something wrong? Let us know on the About page and we'll fix it.