Climate Impact Of AI

Revision as of 18:16, 27 March 2021 by LaurenceW (talk | contribs)

AI and machine learning has a climate impact from the energy used at all stages from development to deployment, as well as considerations around embodied energy in hardware from GPUs to data centres. Efforts to quantify the CO2 impact of ML have been undertaken[1], and tools and recommendations for best practice have been created[2].

Models

Training

Inference

References

  1. Lacoste, Alexandre; Luccioni, Alexandra; Schmidt, Victor; Dandres, Thomas (2019-10-21). "Quantifying the Carbon Emissions of Machine Learning". arXiv:1910.09700 [cs, stat].
  2. "ML CO2 Impact". https://mlco2.github.io/impact/. Retrieved 2021-03-27. External link in |website= (help)