Why AI Infrastructure Needs a Workload-First Approach
As enterprise AI workloads move from experimentation into production, infrastructure decisions are becoming less about buying more compute and more about using existing resources efficiently. A new blueprint from Info-Tech Research Group argues that enterprises should design AI infrastructure around workload requirements, balancing compute, memory, storage, networking and physical infrastructure rather than treating hardware capacity…
