Home > Workload Solutions > High Performance Computing > White Papers > Running ML/DL Workloads Using Red Hat OpenShift Container Platform v3.11 > Kubeflow
Kubeflow is an open-source Kubernetes-native platform for Machine Learning (ML) workloads that enables enterprises to accelerate their ML/DL projects on Kubernetes. Kubeflow is a composable, scalable, portable ML stack that includes components and contributions from a variety of sources and organizations. Its differentiation is using automation to integrate ML tools so that they work together to create a cohesive pipeline and make it easy to deploy ML application lifecycle at scale. For more information, see Kubeflow: The Machine Learning Toolkit for Kubernetes.