Comparing Costs and Technologies in AI Infrastructure Buildout
When teams start planning an AI infrastructure buildout, the first question usually sounds simple: “What will it cost?” In practice, that question hides three harder ones underneath. Which technology path actually fits our workloads, how do we pay for reliability and capacity without wasting money, and what choices lock us into expensive upgrades later? I have watched the same pattern play out in AI news cycles. Vendors announce accelerators, cloud providers publish new