HN773: Optimizing Ethernet for AI – An Update On the Ultra Ethernet Consortium

In this conversation, Jay Metz, chair of the Ultra Ethernet Consortium, and Rip Sohan, a deep networking engineer, dive into optimizing Ethernet for AI and high-performance computing. They discuss the limitations of traditional Ethernet and the consortium's transformation into a standards body. Topics include the impact of Remote Direct Memory Access (RDMA), integration with Linux for enhanced user experience, and innovative flow control mechanisms for lossless data transport. The duo emphasizes community engagement and the importance of adapting networks to evolving technology.