Model Registry
Take your models from research to production with a centralized and production ready model registry.
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Automate versioning of ML models, data, code and parameters and easily compare model versions.
Use a single and flexible standard format for all your ML projects.
Build models on a scalable infrastructure for optimized efficiency and performance.
Use Cases
Manage Model Lifecycle
The Qwak Model Registry allows collaborative work among data scientists and ML Engineers, enabling them to share models seamlessly. With a centralized registry, team members can use a single Machine learning model database for the entire ML needs.
CI/CD Integration
Automate model build processes for continuously evaluating models, ensuring your production models are up-to-date.
Experiment Tracking
Accelerate model iterations with our central ML model storage solutions, gaining visibility into training parameters, parameter tuning and complete Machine learning metadata storage.
Model Health Monitoring
The Qwak Model Registry can be integrated with monitoring tools to track the health and performance of models in real-time. This provides valuable insights into when a model might be degrading or not performing as expected.
Say goodbye to complex MLOps
Chat with us to see the platform live and discover how we can help simplify your ML journey.
