BentoML is an open-source platform for packaging, serving, and deploying machine learning models. It provides a unified workflow to move models from research to production with ease, offering tools for model bundling, API serving, and integration with modern infrastructure. With support for popular ML frameworks, BentoML simplifies the process of building scalable and reliable ML services.

Features of BentoML:

• Framework-agnostic support for models from TensorFlow, PyTorch, Scikit-learn, XGBoost, and more.
• Creates self-contained “Bentos” that bundle models, dependencies, and serving logic.
• Provides REST and gRPC APIs out of the box for model serving.
• Seamless integration with Docker, Kubernetes, and cloud platforms.
• Enables reproducible deployments across different environments.
• Open-source, actively maintained, and widely used in MLOps workflows.

To check the installed BentoML version on your system, run:

 
# sudo su 
# sudo apt update
# cd /opt/bentoml
# source venv/bin/activate
# bentoml --version

Disclaimer: BentoML is released under the Apache 2.0 License and maintained by the open-source community. Users are responsible for correct usage in their specific applications. The developers are not responsible for any consequences arising from its use. Always refer to the official BentoML documentation and GitHub repository for the most accurate and up-to-date information.