KF
Kubeflow
Machine learning toolkit for Kubernetes. End-to-end ML workflows on cloud-native infrastructure.
About Kubeflow
Kubeflow is an open source ML platform dedicated to making deployments of machine learning workflows on Kubernetes simple, portable, and scalable. It provides a straightforward way to deploy best-of-breed ML systems.
Key Features
✓ ML pipelines on Kubernetes
✓ Jupyter notebook management
✓ Katib hyperparameter tuning
✓ KServe model serving
✓ Training operators (TF, PyTorch)
✓ Multi-tenancy support
Why choose Kubeflow?
Kubeflow is an open source alternative to SageMaker, Vertex AI. Licensed under Apache-2.0, it gives you full access to the source code and the freedom to modify, self-host, and contribute. You can deploy it on your own servers for complete data ownership and privacy.