Data Center Cooling: Four Lessons from Teams That Simulate Before They Build

The servers keeping global AI workloads running generate more heat per rack than most facilities were built to handle. A modern GPU cluster can push 50 kW per rack, ten times the load of a standard compute server from a decade ago. Cooling infrastructure that was adequate for traditional IT simply cannot scale to meet that demand, and the cost of getting it wrong is severe: thermal throttling, hardware failure, downtime, and in the worst cases, data loss at the moment of peak demand.