Deployment

BentoML is an open-source framework for packaging and deploying machine learning models as APIs.

Model deployment is the process of integrating a machine learning model into an existing production environment.

Model serving is the process of deploying machine learning models for real-time predictions and usage in applications.

Seldon Core is an open-source platform for deploying machine learning models in production environments.

TensorFlow Serving is a flexible, high-performance serving system for machine learning models.