AI inference growth demands network infrastructure overhaul

As AI inference workloads surge, networks must evolve to handle massive data transfers between GPUs and cloud services. Current architectures face latency and bandwidth bottlenecks that could limit next-gen AI applications. Experts call for investment in specialized interconnects and edge computing to keep pace with demand.