Enterprise AI infrastructure has quietly stopped being a single-hardware decision. For years, the default answer to “what do we run this on?” was simply “GPUs.” But as organizations move AI from pilot projects into production workloads that run continuously, at scale, and under real cost and power constraints, that answer is changing.