Deploy models in production-grade settings with BentoML.

Deploy Models with BentoML

BentoML is an open-source framework for machine learning model serving. it can be used to serve to deploy models locally, in a cloud environment, or in a Kubernetes environment, while supporting all machine learning model flavors and frameworks such as Tensorflow, PyTorch, Sickit-Learn, etc... The ZenML BentoML Model Deployer Integration can be used to deploy models for local development and production use cases, with the built-in steps, you can easily build Bento and deploy it locally in just a few lines of code.