Charmed Kubeflow Documentation

Charmed Kubeflow is an open source, end-to-end, production ready MLOps platform on top of cloud native technologies.

Charmed Kubeflow translates Machine Learning steps into complete workflows, enabling training, tuning, and shipping of ML models. It enables automation of workflows, increases quality of models, and simplifies deployment of ML workloads into production in a reliable way.

Charmed Kubeflow meets the need of building Machine Learning applications in a structured and consistent manner while contributing to higher productivity and better collaboration in Data Science teams.

For Data Scientists and Machine Learning Engineers Charmed Kubeflow provides an advanced toolkit to organise and scale their work.

In this documentation

Get started - a hands-on introduction to Charmed Kubeflow for new users
How-to guides
Step-by-step guides covering key operations and common tasks
Concepts - discussion and clarification of key topics
Technical information - specifications, APIs, architecture

Project and community

Charmed Kubeflow is an official distribution of the Kubeflow project. It’s an open-source project that welcomes community contributions, suggestions, fixes and constructive feedback.

Thinking about using Charmed Kubeflow for your next project? Get in touch!

Last updated 7 days ago.