AI workloads are overwhelming the traditional datacenter fabrics they run on. Here what replacing them. The network has become the nervous system of any organization running AI at scale. A single distributed training run can chew through thousands of GPUs for weeks, and one congested uplink can slash throughput by more than 30 percent. Plenty of datacenter networks arent keeping up now that AI sits at the center of the workload. The traffic itself has changed. Chinas daily AI token consumption...
