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Training and running large language models like ChatGPT consumes significant energy and water resources.

Key Data Points

  • Training GPT-3 consumed ~1,287 MWh of electricity
  • Each ChatGPT query uses roughly 10x the energy of a Google search
  • Data centers require massive water cooling systems
  • OpenAI and Microsoft have committed to renewable energy goals

As AI scales, its environmental footprint is a growing area of policy and research concern.


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ChatGPT University: The Environmental Cost of AI
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Reference:

Wikipedia: Environmental Impact of AI

image for linkhttps://en.wikipedia.org/wiki/Environmental_impact_of_artificial_intelligence

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