A model catalog (commonly referred to as a model store) is a collection of private models in development and models that are deployed to production. A model catalog helps store, version, analyze, and deploy machine learning models.
A model zoo is a collection of pre-trained models ready to be deployed. Models can either be deployed directly or re-refitted to a new dataset with transfer learning.
Gradient provides both a model catalog and model zoo for working with private and public models. Gradient brings a shared model repository to organizations of any scale which reduces tedious tasks and can accelerate adoption of machine learning throughout an entire organization.