Build, Train, and Serve Your ML Models on Kubernetes with Kubeflow - Karl Weinmeister - ML4ALL 2019

Build, Train, and Serve Your ML Models on Kubernetes with Kubeflow
Karl Weinmeister

Distributing ML workloads across multiple nodes has become common. To achieve higher and higher levels of accuracy, data scientists are using more data and more complex models than ever before.

Kubeflow is an open-source platform for model building, serving, and training. It is built on industry standard Kubernetes infrastructure and runs in multiple clouds and on-premises.