Installing Kubeflow

Kubeflow is an end-to-end Machine Learning (ML) platform for Kubernetes, it provides components for each stage in the ML lifecycle, from exploration through to training and deployment. Operators can choose what is best for their users, there is no requirement to deploy every component. To read more about the components and architecture of Kubeflow, please see the Kubeflow Architecture page.

There are two pathways to get up and running with Kubeflow, you may either:

1. Use a packaged distribution
2. Use the manifests (advanced)

Install a packaged Kubeflow distribution

See the table below for a list of options and links to documentation:

Install the Kubeflow Manifests manually

The Manifests Working Group is responsible for aggregating the authoritative manifests of each official Kubeflow component. While these manifests are intended to be the base of packaged distributions, advanced users may choose to install them directly by following these instructions.

Next steps

• Review the Kubeflow component documentation
• Explore the Kubeflow Pipelines SDK