Central repository for storing, versioning, and managing trained machine learning models with their metadata. Like a library catalog system that tracks all versions of AI models.
A model registry stores each version of a recommendation model, tracking which version is in production, staging, or archived.
These services provide a centralized platform for managing machine learning models, including versioning, deployment, and metadata tracking, similar to a library system for AI models.