The competition in artificial intelligence is now manifesting in a tangible, thermal form.
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According to Wei Lu, a faculty member at Nanyang Technological University’s computing and data science school in Singapore, the principles that fueled the AI expansion were conceived during a period of peace, with plentiful energy and growing semiconductor availability. These principles rest on the notion that energy supply is virtually limitless. This mindset has fostered what he calls a “raw power approach,” where increasingly complex models are built despite escalating energy consumption per computation.
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