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Twenty prompts at 0.3 watt-hours each consume 6 watt-hours.

The Claim

Twenty ordinary text prompts to an artificial intelligence system consume approximately 6 watt-hours of data-centre electricity, assuming electricity use of 0.3 watt-hours per prompt.

The Short Version

The calculation is sound under its stated assumption: 20 prompts multiplied by 0.3 watt-hours equals 6 watt-hours. Recent estimates around 0.24–0.34 watt-hours for typical text prompts make 0.3 watt-hours a reasonable approximation, although actual consumption varies substantially by model, response length, hardware, and accounting boundary.

Caveats

  • The 0.3-watt-hour figure is an approximate typical value, not a universal rate for every AI prompt.
  • Energy use varies with model, response length, decoding strategy, hardware efficiency, and workload.
  • Estimates may use different boundaries, such as GPU-only consumption versus full data-centre overhead.

The Receipts

  1. Impact of decoding strategies on GPU energy usage in large language ...

    nature.com

  2. AI Large Language Models: new report shows small changes can reduce energy use by 90%

    unesco.org

  3. Energy Use of AI Inference, Efficiency Pathways, and Test-Time Scaling

    arxiv.org

  4. Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption

    arxiv.org

  5. Measuring the environmental impact of delivering AI at Google Scale

    arxiv.org

  6. Global energy demands within the AI regulatory landscape | Brookings

    brookings.edu

  7. ChatGPT may not be as power-hungry as once assumed | TechCrunch

    techcrunch.com

  8. Scaling AI with 8 to 20x energy efficiency | The Microsoft Cloud Blog

    microsoft.com

  9. In a first, Google has released data on how much energy an AI prompt uses | MIT Technology Review

    technologyreview.com

  10. In a first, Google has released data on how much energy an AI prompt uses | MIT Technology Review

    technologyrreview.com

+ 29 more sources — see the full list on Lenz

Filed Under

artificial intelligence

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