← All projects
Running AI at scale

Kubeflow

A collection of open-source tools for building, training and running AI at scale on cloud servers.

What it does

Kubeflow is a family of open-source projects for handling data and AI work on Kubernetes, a popular system for running software across many servers. It aims to help teams get AI models, agents and apps into real-world use.

Its makers say it lets you run work at any size without being a Kubernetes expert, use the same code on a laptop or in any cloud, and mix and match tools across each stage of AI work. This repository is mainly a gateway: the individual tools are developed in their own repositories.

Who it's for

Platform engineers, data scientists and organisations running AI on their own cloud infrastructure.

Can I use it without coding?

Developers only. Needs Kubernetes and technical skills to set up and run. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Server, Cloud
Computer
Made for servers or data centres
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it