Rising temperatures and humidity levels pose a threat to cost-effective cooling methods used in artificial intelligence data centers, according to research from the University of Hawaii System. The findings suggest that warmer, more humid climates may force operators to adopt more expensive cooling solutions to maintain optimal server performance. This development could impact the operational costs of AI infrastructure deployment in tropical and subtropical regions.
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