If we can't kick the habit, how do we manage AI's energy needs? | Computer Weekly
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If we can't kick the habit, how do we manage AI's energy needs? | Computer Weekly
"Sam Altman suggested that it takes 20 years of life and all the food consumed during that time for a human to become smart, implying that AI serves as a massive shortcut in human evolution."
"The International Energy Agency predicts that energy demand from datacentres will more than double by 2030, with electricity demand from AI-optimised datacentres projected to quadruple."
"In the US, the power demands of datacentres and the necessary grid upgrades are being blamed for rising electricity prices faced by residential customers."
"As chip technology improves, GPUs will become more power-hungry, leading to greater energy consumption and necessitating a significant overhaul of datacentre infrastructure."
Sam Altman compared humanity's energy consumption to that of AI inference, highlighting AI as a shortcut in human evolution. Datacentres, essential for AI, are power-hungry, with energy demand projected to double by 2030. In the US, this demand is linked to rising electricity prices for consumers. Communities are resisting datacentre developments due to energy concerns. As chip technology advances, GPUs will become more power-hungry, necessitating infrastructure overhauls that will further increase energy consumption despite potential efficiency gains.
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