Publish and share your ML models and datasets

Registry is a curated central repository that stores and provides versioning, aliases, lineage tracking, and governance of models and datasets.

ML lifecycle management

Manage your ML models and datasets seamlessly through every stage of the lifecycle – from development to staging to production.

CI/CD

As the single source of truth for which models are in production, Registry provides the foundation for an effective CI/CD pipeline by identifying the right models to reproduce, retrain, evaluate, and deploy.

Reproducibility

A system of record offering easy access to machine learning artifacts and detailed lineage tracking allows you to rebuild any model and reproduce any task in the ML lifecycle.

Discoverability

Share models and datasets across the organization. ML practitioners from different teams can explore and use published artifacts in their own experiments and CI/CD pipelines.

Governance and access control

Safeguard models and datasets across multiple teams. Ensure that users have the right access to artifacts they need. No more, no less.