Optimize AI Cluster Networks with Multi-Rail RoCEv2 Standard Ethernet stalls GPU training with packet drops and ECMP hash collisions. Master the SRE fabric play
ServerMO has released a guide detailing how to optimize AI cluster networks using the Multi-Rail RoCEv2 standard. The guide addresses issues like packet drops and hash collisions that can stall GPU training. It recommends bypassing the OS kernel with RDMA, implementing lossless PFC with deadlock watchdogs, and using Multi-Rail PCIe affinity to directly link NICs to GPUs. AI
IMPACT Provides technical guidance for improving the efficiency of AI training infrastructure.