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