Scaling TensorFlow at LinkedIn with Jonathan Hung

Banner Image: Jonathan Hung - Podcast Interview
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About this Episode

Today we're joined by Jonathan Hung, Sr. Software Engineer at LinkedIn, who we caught up with at TensorFlow World last week.

Jonathan's presentation at the event focused on LinkedIn's efforts scaling Tensorflow. In our conversation, we discuss his work as part of the Hadoop infrastructure team, experimenting on Hadoop with various frameworks, and their motivation for using TensorFlow on their pre-existing Hadoop clusters infrastructure. Jonathan also details TonY, or TensorFlow on Yard, LinkedIn's framework that natively runs deep learning jobs on Hadoop, its relationship with Pro-ML, LinkedIn's internal AI Platform, which we've discussed on earlier episodes of the podcast. Finally, we discuss how far LinkedIn's Hadoop infrastructure has come since 2017, and their foray into using Kubernetes for research.

Thanks to our sponsor LinkedIn

LinkedIn is the world's largest professional network with nearly 800 million members in more than 200 countries and territories worldwide. Today, LinkedIn leads a diversified business with revenues from membership subscriptions, advertising sales and recruitment solutions.
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