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From YouTube: Kubeflow: Multi-Tenant, Self-Serve, Accelerated Platform for Practitioners- Kam Kasravi & Kunming Qu

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Join us for Kubernetes Forums Seoul, Sydney, Bengaluru and Delhi - learn more at kubecon.io

Don't miss KubeCon + CloudNativeCon 2020 events in Amsterdam March 30 - April 2, Shanghai July 28-30 and Boston November 17-20! Learn more at kubecon.io. The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy, and all of the other CNCF-hosted projects

Kubeflow: Multi-Tenant, Self-Serve, Accelerated Platform for Practitioners - Kam Kasravi, Intel & Kunming Qu, Google

The kubeflow platform provides a self-serve multi-tenant platform on k8s for ML developers. Users can train their models using accelerated hardware in an isolated environment. Jobs can be configured and triggered from a notebook with no devops involvement. We leverage optimized libraries such as IntelĀ® DAAL, IntelĀ® MKL-DNN now included in tensorflow 1.14.+. Models can be monitored using Application CR deployed with kubeflow. All attendees can join the demo, create their own workspace and try out features. Attendees will walk away understanding how to run multi-tenancy on Kubernetes with kubeflow. Highlights: Self-serve multi-tenant workplace Workspace owners can share / revoke access System admin can reset access policy & resource quota per workspace Multi-tenancy service is transparent to other apps. A UI is available to simplify user experience.

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