Non-Minimal Path Routing for AI and Cloud Computation Networks

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.