Liquid Cooling for AI Infrastructure

Overview

Liquid cooling for AI infrastructure encompasses the full chain of thermal management solutions designed to handle the extreme heat density of GPU-accelerated servers. The dominant approach is direct-to-chip (D2C) liquid cooling using cold plates mounted to GPUs and other heat-generating components, circulating chilled fluid to a Coolant Distribution Unit (CDU) that interfaces with the facility's chilled water or dry cooler circuit.

The industry began broadly migrating from air cooling (CROB/hot-aisle containment) to D2C liquid cooling from approximately 2024, driven by GPU TDPs exceeding 1,000W per chip and rack power densities that exceed what air cooling can handle. The full service chain for liquid cooling deployment includes: cold plate design, L10 (server-level) thermal simulation, L11 (rack-level) simulation, L12 (cluster-level) simulation with CDU integration, L11/L12 testing and validation, and onsite deployment and integration. CDU designs support multiple redundancy configurations (N+1 or N+N) and interrack options (liquid-to-liquid or liquid-to-air) for facilities not yet equipped for full liquid infrastructure.