BentoML

BentoML is a flexible, open-source framework that allows you to build, package, and deploy machine learning models as production-ready services. It provides both a Python API and a CLI to define ML services, create reproducible builds, and serve them via REST or gRPC APIs.

Features of BentoML:

• Open-source framework for deploying machine learning models.
• Provides Python API and CLI for building and serving ML services.
• Supports popular ML libraries like PyTorch, TensorFlow, scikit-learn, and more.
• Enables packaging models into reproducible, scalable services.
• Supports REST and gRPC APIs for serving models.
• Integrates with Docker, Kubernetes, and cloud deployment workflows.
• Ideal for moving ML experiments to production efficiently.

BentoML Usage Instructions:

$ sudo su
$ source /opt/bentoml/bentoml-src/venv/bin/activate
$ bentoml --version
$ Get started with BentoML, a framework to deploy ML models as services.
    

Disclaimer: BentoML and the BentoML logo are trademarks or registered trademarks of BentoML, Inc. This document and the software described herein are not affiliated with, endorsed by, or sponsored by BentoML, Inc. Users are advised to review and comply with any applicable licensing terms while using BentoML.