AI/ML Model Serving Framework
8.6k 2026-04-13
bentoml/BentoML
A Python library for building and deploying high-performance AI model inference APIs and multi-model serving systems with ease.
Core Features
Easily build REST APIs for any AI/ML model with Python type hints.
Simplifies Docker containerization, environment management, and reproducibility.
Optimizes CPU/GPU utilization with dynamic batching and multi-model orchestration.
Fully customizable for business logic, supporting various ML frameworks and runtimes.
Production-ready, enabling local development and seamless deployment to Docker or BentoCloud.
Quick Start
pip install -U bentomlDetailed Introduction
BentoML is an open-source Python framework designed to streamline the deployment and serving of AI/ML models in production. It empowers developers to transform any model inference script into a robust, scalable REST API server with minimal code. By automating Docker image generation and offering advanced optimization features like dynamic batching and multi-model pipelines, BentoML addresses common MLOps challenges, ensuring high performance and reproducibility. It supports diverse ML frameworks and provides a flexible platform for building custom AI applications, from local development to cloud deployment.