Although it really is hard to estimate exactly how much energy is necessary to manufacture a GPU, a form of highly effective processor that could handle intensive generative AI workloads, it would be in excess of what is required to generate a less complicated CPU since the fabrication system is much more elaborate. A GPU’s carbon footprint is compounded through the emissions related to substance and product or service transport.
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The excitement surrounding likely benefits of generative AI, from strengthening employee efficiency to advancing scientific investigation, is hard to ignore.
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