Congestion Management in Ethernet-Based Networks for AI Cluster Fabric

Learn about managing network congestion in AI cluster fabrics through this 22-minute technical presentation from Edgecore Networks and Drivenets experts. Explore the unique challenges of low-entropy, high-density traffic patterns and elephant flows in AI infrastructures. Discover two key methods for congestion control and avoidance through endpoint and fabric scheduling. Examine how different parameters like DLB, PFC, and ECN impact job completion time and overall throughput in AI workloads. Master techniques for minimizing network drops, latency, and jitter while maximizing performance over lossless Ethernet fabrics.