DKube, from One Convergence

DKube, from One Convergence, provides a standards-based, on-prem, end-to-end MLOps solution for Deep Learning/Machine Learning. Based on the popular Kubeflow standard, DKube extends and productizes the solution, enabling best-in-class components from the broad open source community to interoperate.

DKube is optimized to work on-premises out-of-the-box, but is based on Kubernetes and is completely portable.  It has the same look, feel, and workflow on all platforms.  Migration between the cloud and your on-prem system is fast and easy.

DKube brings the power of a state-of-the-art MLOps application to the Nutanix platform, and works out-of-the-box with Karbon, Objects, and Files.

DKube allows data scientists to focus on their research rather than infrastructure.