Model Registry

Streamline your model lifecycle from development to production with Hopsworks' Model Registry, fully integrated with the Hopsworks Feature Store and AI Lakehouse. 

Track, version, and deploy models while maintaining full governance and auditability across your organization from data sources to model deployment. 

​​Centralized Model Assets with Advanced Version Control

• Complete Model Lineage
  Automatically track every model's origin, including training data, feature groups, and hyperparameters. Full provenance tracking means you always know exactly how each model was created.
  
• Seamless Version Management
  Register models with versioning support for code, artifacts, metrics, and dependencies. Compare versions side-by-side to make informed deployment decisions.
  
• Multi-framework Support
  Store and manage models from PyTorch, TensorFlow, Scikit-learn, LangChain, and all major ML frameworks in a single, unified registry.

Seamless Integration with the Hopsworks Ecosystem

• Feature Store Connectivity
  Models automatically link to the features that created them. Ensure consistency between training and serving.
  
• Integrated Monitoring
  Track model performance and data drift from the same interface. Receive alerts when models need attention.
• Unified Experience
  Manage your entire ML lifecycle in one platform - from data preparation to model deployment and monitoring.