BentoML
BentoML is a Python framework that simplifies machine learning model deployment by packaging models into production-ready API services with built-in optimization features like dynamic batching and multi-model orchestration.
Available Pages
BentoML: Deploy ML Models, Simplify MLOps & Model Serving
Discover BentoML, the model serving framework that simplifies ML model deployment and MLOps. Learn how it works, its performance benefits, and real-world production use cases.
BentoML Production Deployment: Secure & Reliable ML Model Serving
Deploy BentoML models to production reliably and securely. This guide addresses common ML deployment challenges, robust architecture, security best practices, and MLOps for scalable model serving.
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Dependencies
python
Foundation technology
starlette
Requires for operation
uvicorn
Requires for operation
pydantic
Requires for operation
numpy
Requires for operation
opentelemetry
Requires for operation
bentocloud
Enables other tools