Artificial intelligence has, without question, crossed the threshold—from a speculative academic pursuit into the defining infrastructure of 21st-century commerce, governance, and innovation. What began in the realm of research labs and open-source models is now embedded in the capital stack of every major hyperscaler, semiconductor roadmap, and national industrial strategy.
But as AI scales, so does its energy footprint. From Nvidia-powered GPU clusters to exascale training farms, the…
Article Source
https://www.datacenterfrontier.com/machine-learning/article/55285268/new-iea-report-contrasts-energy-bottlenecks-with-opportunities-for-ai-and-data-center-growth