Optimizing AI Infrastructure The Critical Role of Liquid Cooling

AI advancements, especially GPU-powered workloads, are pushing data centers beyond air cooling limits. With GPUs consuming up to 1,400 watts, organizations face challenges in heat management and efficiency.

This white paper highlights direct liquid cooling as the preferred solution for AI infrastructure, addressing concerns like downtime risk, equipment damage, and skill requirements. Key insights include:

· Coolant distribution units (CDUs) and their role in heat transfer
· Evaluating infrastructure compatibility with liquid cooling
· Best practices for hybrid cooling environments

Discover how planning and the right ecosystem enable successful liquid cooling for AI workloads.