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Sunday, January 27 • 12:30pm - 1:20pm
Kubeflow: ML on OpenShift

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Kubeflow is an open source project that has quickly emerged as the de-facto machine learning toolkit for Kubernetes. Kubeflow aims to provide stability, composability, and portability for machine learning by leveraging Kubernetes and other ecosystem projects to implement the infrastructure required to deliver a comprehensive ML platform for data scientists and DevOps engineers alike. This talk will explore the origins of the project, its core architecture, and integration with complementary projects such as JupyterHub, Pachyderm, and SeldonIO. We will examine the user experience, from deployment to notebooks. The presentation will also discuss its relevance to OpenShift and how the emerging popularity of the Operator SDK can expand the capabilities of Kubeflow.

avatar for Peter MacKinnon

Peter MacKinnon

Principal Software Engineer, Red Hat Inc.
Pete MacKinnon is a Principal Software Engineer in the AI Center of Excellence at Red Hat. He is actively involved in the Kubeflow and Open Data Hub open source projects. He works closely with Red Hat customers and partners to successfully bring their machine learning and analytics... Read More →

Sunday January 27, 2019 12:30pm - 1:20pm CET