For two decades, hyperscale set the template for how we design, power, and cool digital infrastructure. AI has broken that template. Rack densities that were exceptional a few years ago are now the starting point, and the gap between a hyperscale facility and an AI-scale one is measured in fundamental engineering choices, not incremental upgrades.

This session examines what actually changes on the path from hyperscale to AI scale: cooling architectures that assume liquid rather than air, power topologies built for concentrated loads, structural and spatial requirements that legacy footprints were never designed to hold, and the operational discipline to run all of it reliably.

Infrastructure and engineering leaders will explore where existing designs can stretch, where they break, and how to build for a density curve that shows no sign of flattening. The question on the table is direct: can the data center as we know it scale to meet what AI is about to demand?