The rise of generative AI has created a new kind of sustainability challenge. While training large models is energy-intensive, the greater environmental cost now comes from everyday inference at scale. By making smarter infrastructure choices — from workload placement and cooling methods to aligning compute with renewable energy windows — organizations can significantly cut emissions without compromising AI performance. Carbon-aware AI is fast becoming a measure of engineering maturity an...
