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From HPC to AI: Rethinking Cooling for Sustainable AI Infrastructure
DescriptionAs AI workloads grow, traditional air-cooling methods in data centers are proving inefficient and environmentally costly due to high water and energy use, lower packing densities, and larger footprints. This talk explores how the high performance computing (HPC) community’s experience—especially in liquid cooling—can guide more sustainable AI infrastructure. Case studies from Bavaria’s LRZ and NHR@FAU show how hot-water cooling improves power efficiency, reduces resource use, and enables waste heat reuse. Additionally, GPU power capping can enhance energy savings with minimal performance loss while improving system stability. The AI field is urged to adopt proven HPC thermal management strategies for sustainable scaling.