Post by Capgemini Invent

48% of senior executives believe their AI is increasing their company's emissions. But only 20% factor a model's environmental footprint into their AI selection criteria.   That gap is where most sustainability strategies come unstuck. Organizations deploy models far larger than their use cases require, and every unnecessary parameter burns energy and water on every inference, every day.   By rightsizing LLMs through compression and optimization, organizations can cut environmental and compute demands without compromising performance, proving that sustainability and AI ambition don't have to be at odds. Sustainable AI enables teams to reduce model footprint, optimize performance, and scale responsibly.   Discover more insights in our point of view - https://bit.ly/4gJS4B1 #MakeItReal