DKube

DKube is an MLOps product based on Kubeflow and MLFlow. It is optimized for implementation on-prem or in the cloud. You get the flexibility and innovation of open source ref architectures like Kubeflow and MLFlow as a supported product. With DKube you can prepare your data including feature engineering, train AI models, optimize, tune and publish AI models and be able to deploy/serve those models. Kubeflow pipelines, KF Serving, MLFlow experiment tracking and comparison are all provided while allowing you to track the model and data versioning for reproducibility, audits and governance.