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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
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Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
Today we’re joined by Jonathan Hung, Sr. Software Engineer at LinkedIn, who we caught up with at TensorFlow World last week. In our conversation, we discuss:
Jonathan’s presentation at the event focused on LinkedIn’s efforts scaling Tensorflow. Jonathan’s work as part of the Hadoop infrastructure team, including experimenting on Hadoop with various frameworks, and their motivation for using TensorFlow on their pre-existing Hadoop clusters infrastructure. TonY, or TensorFlow on Yard, LinkedIn’s framework that natively runs deep learning jobs on Hadoop, and its relationship with Pro-ML, LinkedIn’s internal AI Platform, which we’ve discussed on earlier episodes of the podcast (Link). Finally, we discuss how far LinkedIn’s Hadoop infrastructure has come since 2017, and their foray into using Kubernetes for research.The complete show notes can be found at twimlai.com/talk/314.
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