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 Kubernetes Networking for Deep Learning
This chapter explores the challenges of enhancing network performance in multi-node deep learning environments within Kubernetes. It discusses the need for direct application-to-hardware connectivity while balancing the flexibility of virtualization and presents solutions involving Container Network Interface (CNI) technologies.
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