Individual GPUs in AI data centers consume up to 1,000 watts apiece. This power draw rivals household vacuum cleaners, contrasting sharply with smartphones that use under 1 W. High energy requirements create a scaling bottleneck for large language models. Hardware engineers must now find ways to reduce this thermal and electrical overhead.