Sydney Armani - The Heat Problem AI workloads differ significantly from traditional computing tasks. Training large machine learning models, for instance, requires immense computational power, often running GPUs and specialized hardware at peak capacity for extended periods. This leads to significant heat generation, which, if not managed properly, can degrade hardware performance and reduce its lifespan. Air Cooling:
