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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
Tuesday, June 25 • 11:45 - 12:20
Evolving Deep Learning Platform with Knative - Ti Zhou, Baidu

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The emergence of Knative has enhanced the capabilities of Baidu internal deep learning platform. The workflow between training and inference services can be implemented based on Knative eventing. The training and inference services can also implement smart routing and auto-scaling by leveraging Knative serving. And the training job image can also be built by Knative build framework. After using Knative, Baidu internal deep learning platform has reduced resource consumption by 20%.

In this speech, we will show how to use the capabilities of Knative to reconstruct deep learning platform, including:
Expanding eventing to achieve training to inference pipeline automation
Use serving to implement smart routing and auto-scaling of inference services
Use build to automate the process of generating the training images

Speakers
avatar for Ti Zhou

Ti Zhou

Architect, Baidu Inc
Ti Zhou, Kubernetes member, currently serves as software architect in Baidu Inc, focusing on PaddlePaddle Deep Learning Framework and Baidu Cloud Container Engine, helps developers to deploy cloud-native machine learning on private and public cloud.



Tuesday June 25, 2019 11:45 - 12:20
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