AI/ML Model Serving Framework
8.6k 2026-04-26
bentoml/BentoML
A Python library for building, deploying, and scaling AI/ML model inference APIs and serving systems.
Core Features
Easily build REST APIs for any AI/ML model using Python.
Automates Docker containerization for reproducible deployments.
Optimizes CPU/GPU utilization with advanced serving features like dynamic batching.
Supports multi-model pipelines and custom business logic.
Provides a production-ready workflow from local development to cloud deployment.
Quick Start
pip install -U bentomlDetailed Introduction
BentoML is an open-source Python framework designed to simplify the deployment and serving of AI/ML models in production environments. It enables developers to transform trained models into scalable, high-performance inference APIs with minimal effort. By automating Docker image generation, optimizing resource utilization through features like dynamic batching, and supporting complex multi-model pipelines, BentoML addresses key MLOps challenges. It provides a robust and reproducible workflow, accelerating the journey from model development to reliable, production-grade AI applications.