Charmed Kubeflow documentation¶
Charmed Kubeflow (CKF) is an open-source, end-to-end, production-ready MLOps platform on top of cloud-native technologies.
It translates Machine Learning (ML) steps into complete workflows, including 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.
CKF meets the need of building ML applications in a structured and consistent manner while contributing to higher productivity and better collaboration within teams.
It is intended for data scientists and ML engineers, providing an advanced toolkit to organise and scale their work.
In this documentation¶
Get started with CKF.
Key operations and common tasks with CKF.
Technical information, including release notes.
Discussion of CKF concepts and features.
Project and community¶
Charmed Kubeflow is a member of the Ubuntu family. It’s an open-source project that welcomes community contributions, suggestions, fixes and constructive feedback.