Data center cooling technologies evolve to meet AI demands

The rapid expansion of artificial intelligence is driving a significant shift in data center infrastructure, particularly regarding thermal management. As AI-driven workloads increase processing density—with some server racks reaching loads of 100 kW or more—traditional air cooling is reaching its physical limits.

Liquid cooling is emerging as a critical solution to manage the intense heat generated by high-performance GPUs. Technologies such as direct-to-chip cooling, which uses cold plates to absorb heat directly from processors, and immersion cooling are being deployed to improve energy efficiency and reduce Power Usage Effectiveness (PUE). Hitachi has developed a new GPU cold plate featuring a unique ‘U-shaped tunnel flow’ structure designed to maintain high cooling performance while reducing the power required for cooling by an estimated 30%.

Beyond thermal management, the industry is addressing the environmental impact of data centers. While hyperscale facilities consume significant electricity—accounting for approximately 4.4% of U.S. annual usage in 2023—new cooling strategies aim to mitigate water scarcity and high energy consumption. For example, some models utilize air cooling to reduce freshwater consumption, while others focus on high-temperature water cooling to leverage ambient air for more efficient heat dissipation.