Deploy your ML Workloads on Kubernetes with Kubeflow

Kubeflow is an open-source project dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. In this lightning talk, you’ll learn about the problems Kubeflow solves and how it works.

In this talk, we will cover: * How end-to-end ML workflows require heavy lifting from DevOps * What are typical problems that Kubeflow solves * What are the main components of Kubeflow * How does Kubeflow interact with Kubernetes



Karl Weinmeister

Karl Weinmeister is a Cloud AI Advocacy Manager at Google, where he leads a team of data science experts who develop content and engage with communities worldwide. Previously, he was Director of ...