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Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345
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Sam Charrington

· 32 Minutes

PodcastThe TWIML AI Podcast

Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345

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Today we conclude the KubeCon ‘19 series joined by Erez Cohen, VP of CloudX & AI at Mellanox, who we caught up with before his talk “Networking Optimizations for Multi-Node Deep Learning on Kubernetes.” In our conversation, we discuss NVIDIA’s recent acquisition of Mellanox, the evolution of technologies like RDMA and GPU Direct, how Mellanox is enabling Kubernetes and other platforms to take advantage of the recent advancements in networking tech, and why we should care about networking in Deep Lea

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This story was published by The TWIML AI Podcast and written by Sam Charrington. SyncAI.news shows a preview; the complete article is on the publisher's site.

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