Kubeflow Notes

My recent learnings on Kubeflow and what it does. These notes go over a brief description of each of the main components of Kubeflow.

Kubeflow’s goal is to make it easy for machine learning (ML) engineers and data scientists to leverage cloud assets (public or on-premise) for ML workloads. You can use Kubeflow on any Kubernetes-conformant cluster.

Learn more about it here!

These notes are a condensed form of around 2 hours of video content.