Andrey VelichkevichandClaude
0e48fec5f3
Update the "What is Kubeflow" section to match the wording in the official documentation at kubeflow.org/docs/started/introduction. Signed-off-by: Andrey Velichkevich <[email protected]> Co-authored-by: Claude <[email protected]>
Kubeflow
What is Kubeflow
Kubeflow is the Cloud Native AI platform.
Kubeflow is composed of modular, open source projects that form the Kubernetes-native stack for data & AI workloads. Whether you are an AI practitioner, a platform administrator, or a decision-maker, Kubeflow offers modular, scalable, and extensible tools to support your data, AI/ML, and HPC use-cases.
Kubeflow Mission
Kubeflow's mission is to bridge the Data, AI, and Cloud Native ecosystems. We enable teams to deliver more models, agents, and AI applications into production with well-lit paths across the AI lifecycle. By bringing together the skills and expertise of an open global community, our goal is to be the standard for data & AI workloads on Kubernetes.
The Kubeflow Community and Subprojects embrace the following core principles:
- Simple: Run workloads at any scale without becoming a Kubernetes expert
- Portable: Use the same code on a local laptop, on-premises, or in any cloud
- Scalable: Manage hyperscale training jobs and high-throughput AI agents
- Composable: Mix and match tools across the AI lifecycle
Kubeflow Community
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 Steering Committee.
We encourage you to learn about the Kubeflow Community and how to contribute to the project!
Repository Role
This repository serves primarily as a gateway to Kubeflow subprojects and shared project metadata. Kubeflow development happens in the individual subproject repositories.