AI Data Center Liquid Cooling Design: CDUs, GPU Cooling, and Engineering Checklists
The rapid growth of artificial intelligence is transforming data center cooling. Modern AI workloads require increasingly powerful GPU clusters, higher rack densities, and reliable thermal management systems capable of operating continuously under demanding conditions. Traditional air cooling remains important, but for high-density AI deployments, liquid cooling is becoming a critical part of data center design, expansion, and operational planning. My book, AI Data Center Liquid Cooling Design, CDUs, GPU Cooling, and Engineering Checklists, explores the practical engineering considerations behind these systems, from cooling distribution units to GPU thermal management and technical design reviews. 13 1. Why AI Data Centers Need Liquid Cooling AI training and inference workloads can concentrate substantial heat within a relatively small rack footprint. As GPU performance increases, cooling strategies must address more than room temperature and conventional airflow. Key challenges includ...