
Everything you need to know about estimating AI’s energy and emissions burden
James O'Donnell, Casey Crownhart
created: May 20, 2025, 9 a.m. | updated: May 22, 2025, 9:31 a.m.
There are also limitations to estimating the emissions associated with that energy demand, because the grid hosts a complicated, ever-changing mix of energy sources.
The best resources for measuring the energy consumption of open-source AI models are AI Energy Score, ML.Energy, and MLPerf Power.
The team behind ML.Energy assisted us with our text and image model calculations, and the team behind AI Energy Score helped with our video model calculations.
Once we collected figures for different models’ GPU energy use from their team, we had to estimate how much energy is used for other processes, like cooling.
So we took the team’s GPU energy estimate and doubled it to get a sense of total energy demands.
1 month ago: MIT Technology Review