Shanghai, China
June 24–26, 2019
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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

avatar for Ti Zhou

Ti Zhou

Senior Architect, Baidu
Ti Zhou, Kubernetes member, LF AI & Data TAC member, currently serves as senior 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 CST