Kubeflow
The Kubeflow project is dedicated to making deployments of machine learning(ML) workflows on kubernetes: simple, portable and scalable.
Use cases
- Deployment and management of a complex ML system at scale
- Rapid experimentation
- Hyperparameter tuning
- Hybrid and multi-cloud workloads
- Continuous integration and deployment(CI/CD)