As AI investment grows as does user adoption so do the technology's energy costs. Made up of high compute systems, AI requires a lot of data, which needs to be stored on large networks of computers known as data centers. Just like your personal computer, those gigantic centers need electricity as does the process of training an AI model, which relies on more compute than traditional computer functions. Also: Google reveals how much energy a Gemini query uses in industry first But in...
