// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
BentoML
A framework that helps package and deploy machine learning models as production-ready API endpoints, making it easier to serve them.
TECHNICAL DEFINITION
BentoML is an open-source framework for building and deploying production-ready AI applications, enabling users to package trained models from any framework into "Bentos" (standardized, deployable units) and serve them via REST APIs or gRPC.
SYNONYMS & ALIASES
- Bento
- ML Deployment Framework
- Model Packaging
- Model Serving
USAGE NOTE
Simplifies the process of taking a model from training to a scalable API endpoint.
DEVELOPERS
Organizations developing technology related to BentoML.
The open-source project and its core development team, providing a framework for building, shipping, and scaling AI applications, including model serving, MLOps, and developer experience.
An open-source framework developed by the BentoML team, built on top of BentoML for easily deploying and serving large language models (LLMs) in production environments.
An MLOps platform developed by the BentoML team that extends BentoML, offering a cloud-native solution for managing, deploying, and monitoring AI models and services in production.