November 13–15, 2018 - Shanghai, China
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Wednesday, November 14 • 11:05 - 11:40
Deep Customized Kubernetes for Machine Learning in Tencent - Shengbo Song, Tencent

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The Kubernetes and Tensorflow are playing an important role in machine learning, However, the original Kubernetes doesn't serve machine learning well, lacks of accurate GPU scheduling policy, GPU topology awareness and resource limitation etc. In this presentation, we will review recent events about machine learning in Kubernetes community, give us a overview of what changes have been made to Kubernetes to support machine learning in Tencent, the challenges it faces, and look forward to how to address the challenges.

avatar for Shengbo Song

Shengbo Song

Software Engineer 软件工程师, Tencent
Shengbo Song has been working for 3 years at Tencent on making GPU applications easier to deploy and manage in data clusters. He focus on supporting GPU-accelerated frameworks in container orchestration systems such as Kubernetes. He holds an B.S in computer science from Harbin Institute... Read More →

Wednesday November 14, 2018 11:05 - 11:40
305 A