Microsoft’s AI superfactory is not a conventional data center. It is a distributed computing structure where connected facilities work as one machine to handle massive artificial intelligence training and inference tasks. The design confronts limits in networking speed, heat, power, and hardware utilization that arise when scaling AI. The choices in network design, cooling, and physical layout reveal how large AI workloads force a different approach to infrastructure.
