AI data center link reliability
AI workloads rely on large volumes of synchronized high-bandwidth flows.
High performance AI links need to minimize packet loss and retransmission to maintain low latency connections that reduce job completion time and maximize GPU utilization.
Impact of link degredation
AI workloads are vulnerable to variations in bit error rate (BER) which increase the probability of link flaps occurring.
Links flaps cause ports to reset which creates bottlenecks and slows down workload synchronization.
This leads into higher job completion times and lower GPU utilization.