kubeflow/kubeflow

Project overview

As a Kubernetes-native platform, kubeflow/kubeflow brings together a modular ecosystem of projects that span the full AI lifecycle, giving platform teams the flexibility to assemble the capabilities they need.

Project type

Model Runtime · Infrastructure

Deployment

Refer to project documentation

License

Apache-2.0

Best for

• AI platform teams and operations teams who need a composable, modular, portable, and scalable AI tooling foundation on Kubernetes.

Key capabilities

• The repository itself functions as an entry point to Kubeflow subprojects and shared project metadata, directing users to the appropriate component repositories.
• A composable, modular, portable, and scalable distribution backed by Kubernetes-native projects that covers every stage of the AI lifecycle.

Limitations and risks

• The kubeflow/kubeflow repository itself only serves as a gateway to subprojects and metadata. Actual development, builds, and execution happen in individual subproject repositories.

Getting started

• Because active development happens in individual subproject repositories, setup paths and difficulty vary by component. Start by identifying the specific subproject that matches your needs through this repository's gateway and metadata.

Evidence and sources

• GitHub project description: Machine Learning Toolkit for Kubernetes
• README: Kubeflow is the foundation of tools for AI Platforms on Kubernetes. AI platform teams can build on top of Kubeflow by using each subproject independently or deploying the entire K…
• README: This repository serves primarily as a gateway to Kubeflow subprojects and shared project metadata. Kubeflow development happens in the individual subproject repositories.
• README: Kubeflow is a community-led project maintained by the Kubeflow Working Groups under the guidance of the Kubeflow Outreach Committee, Kubeflow Distribution Committee, and Kubeflow…

Reviewed at: 2026-07-14T17:24:27Z