Powering the AI data center boom: the infrastructure upgrades behind innovation

As hyperscalers and other data center operators accelerate efforts to deliver the capacity required for generative AI and large-scale model training, modernizing data centers for the latest GPU technologies has become a defining challenge.

The shift to highly advanced accelerators demands radical improvements across power, cooling, and high-speed connectivity. What was once considered cutting-edge even a few years ago is no longer enough to support today’s AI workloads, forcing operators to rethink everything from rack design to thermal strategy.

The scale of global investment reflects this pivot. McKinsey estimates that data center spending will reach $6.7 trillion by 2030, with the majority funneled into facilities engineered specifically for AI.

Yet the industry’s rapid expansion is already confronting major constraints: supply chain bottlenecks for ...