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Shanghai, China
June 24–26, 2019
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Simultaneous translation will be provided for all keynote and breakout sessions.
我们将为所有主题演讲和分组会议提供同声传译服务。

To view the Chinese version of this schedule please go here.
请点击此处查看中文版本。

Venue + Sponsor Showcase Map
场馆 + 赞助商展示区地图
Wednesday, June 26 • 12:05 - 12:40
Using Kubernetes for Machine Learning Frameworks - Arun Gupta, AWS

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Kubernetes provides isolation, auto-scaling, load balancing, flexibility and GPU support. These features are critical to run computationally, data intensive and hard to parallelize ML models. Declarative syntax of Kubernetes deployment descriptors make it easy for non-operationally focused engineers to easily train ML models on Kubernetes. This talk will explain why and how Kubernetes is well suited for single and multi node distributed training, deploying your ML models in production and setting up visualization tools like TensorBoard for monitoring. Specifically it will show how to setup a variety of open source ML frameworks such as TensorFlow, Apache MXNet and Pytorch on a Kubernetes cluster. The attendees will learn distributed training, massaging and inference phases of setting up a ML framework on Kubernetes. Attendees will leave with a GitHub repo of fully working samples.

Speakers
avatar for Arun Gupta

Arun Gupta

Principal Open Source Technologist, Amazon Web Services
Arun Gupta is a Principal Technologist at Amazon Web Services. He is responsible for CNCF strategy within AWS,and participates at CNCF Board and technical meetings actively.He works with different teams at Amazon to help define their open source strategy. He has built and led developer... Read More →


Wednesday June 26, 2019 12:05 - 12:40
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