deployKF

deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow , Airflow^† , and MLflow^† into a complete platform that is easy to deploy and maintain.

deployKF provides centralized configs, seamless in-place upgrades, and the flexibility to run on any Kubernetes cluster, including self-hosted and cloud services.

Our goal is that any Kubernetes user can build a machine learning platform for their organization, without needing specialized MLOps knowledge, or a team of experts to maintain it.

Here are some stories of deployKF being used in the wild.

Our presentation from Kubeflow Summit 2023, where we introduced deployKF to the community.