In my previous blog in this series, Kubernetized Machine Learning and AI Using Kubeflow, I covered the Kubeflow project and how it integrates with and complements the MapR Data Platform.
Kubeflow is an application deployment framework and software repo for machine learning toolkits that run in Kubernetes.
In Kubeflow, Kubernetes namespaces are used to provide workflow isolation and per-tenant compute allocation capabilities. When combined with the global namespace and unified security capabilities provided by MapR, Kubeflow + MapR provides a fully comprehensive, multi-tenant environment for machine learning and AI applications.
Rachel Silver is the Product Management Lead for Machine Learning & AI @ MapR Data Technologies.