Rod McLaren: Words that work |||

x.AI’s methane problem, OpenAI’s energy use, Nvidia’s embodied emissions

17 June 2025

Last week’s AI emissions news:

Very bad: xAI data centre methane emissions - regulatory loopholes let x.AI run methane-burning generators to power their data centres. And they leak unburned methane, which traps much, much more heat than carbon dioxide. Also here.

Needs disclosure: Altman hints at some OpenAI inference numbers - the average query uses about 0.34 watt-hours [and] about 0.000085 gallons of water”, but the internet is pretty skeptical - just one example.

Good: Nvidia releases some information on its H100 server emissions - but bear in mind it’s cradle-to-gate, so only part of the story: This PCF summary intentionally excludes use-phase and end-of-life emissions due to the variability in those emissions based on customer usage”.

This would all be a lot easier if AI platforms published their detailed lifecycle emissions numbers in the open. I think that the first platform brave enough to do this will get reputational points for transparency.

Up next UK gov’s 2025 carbon emission conversion factors 10 June 2025 The UK gov has published the 2025 carbon emission conversion factors. You can use numbers like these (or from sources like Climatiq) to Recommended: Estimating digital carbon emissions workshop 17 June 2025 I joined a really good workshop on Estimating digital carbon emissions by Chris Adams and Katrin Fritsch of the Green Web Foundation
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