AI needs a home, not a hotel

AI discussions have moved past which model to run or which use case to tackle first. Enterprises developing their own private AI now face a more consequential question: where that AI should live. Drifting into public cloud because it feels familiar or delivers quick wins, without asking whether the environment meets AI's specific demands, tends to store up problems that compound with time. AI is not a transient workload. It is persistent, data-hungry, and deeply sensitive, drawing on proprietary