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Explore advanced network routing strategies for AI and cloud computing in this technical talk that examines the evolution of GPU networks from 25,000 to 1 million interconnected units across multiple datacenters. Learn about the key factors driving network expansion, including sustainable power delivery and the integration of heterogeneous AI clusters. Dive deep into non-minimal path routing implementations in Dragonfly and Dragonfly+ topologies, while analyzing Clos and Mesh topologies through the lens of path diversity and network congestion. Examine AI workload optimization findings from Meta and MIT, understand the implications of non-minimal path routing on (e)BGP protocol, and discover proposed solutions for large-scale AI networks designed to achieve low latency, minimal congestion, zero packet loss, and substantial bisectional bandwidth.
