September 2026

AI workloads no longer run on isolated accelerators. They operate as large-scale distributed systems, where performance depends on how effectively clusters of devices communicate and coordinate. At this scale, compute is no longer the primary constraint. The scale-out network has become the defining factor in system performance, determining utilization, latency, and cost per token.