
Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Optimizing Network Switch Configurability in Deep Learning
This chapter explores the configurability of network switches in deep learning, with an emphasis on software's role in enhancing performance. It highlights the importance of open-source principles and standardized APIs in improving hardware and software interactions.
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