What role remains for distributed GPU networks in AI?
Distributed GPU networks are touted as a low-cost layer for running AI workloads, but modern model training is still centralized within hyperscale data centers. Frontier AI training involves building the largest and most advanced systems. This process requires thousands of GPUs to work in tight synchronization. This level of coordination makes decentralized networks impractical for…
