Strategies and design for increasing AI sustainability

Strategies and design for increasing AI sustainability

Strategies and design for increasing AI sustainability

https://www.nature.com/articles/s44359-026-00195-w

Publish Date: 2026-07-09 06:43:00

Source Domain: www.nature.com

  • Rolnick, D. et al. Tackling climate change with machine learning. ACM Comput. Surv. 55, 1–96 (2022).

    Google Scholar 

  • Villalobos, P. et al. Machine learning model sizes and the parameter gap. Preprint at https://doi.org/10.48550/arXiv.2207.02852 (2022).

  • Wu, C.-J., Acun, B., Raghavendra, R. & Hazelwood, K. Beyond efficiency: scaling AI sustainably. IEEE Micro 44, 37–46 (2024).

    CAS 

    Google Scholar 

  • Powering intelligence: analyzing artificial intelligence and data center energy consumption. White Paper on Technology Innovation Report EPRI https://www.epri.com/research/products/3002028905 (2024).

  • Davenport, C. et al. AI, data centers and the coming US power demand surge. Equity research report. Goldman Sachs https://www.goldmansachs.com/pdfs/insights/pages/generational-growth-ai-data-centers-and-the-coming-us-power-surge/report.pdf (2024).

  • O’Donnell, J. & Crownhart, C. We did the math on AI’s energy footprint. Here’s the story you haven’t heard. MIT Technology Review https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/ (2025).

  • Electricity 2024. International Energy Agency https://www.iea.org/reports/electricity-2024 (2024).

  • Shehabi, A. et al. 2024 United States data center energy usage report. LBNL-2001637 Lawrence Berkeley National Laboratory https://escholarship.org/uc/item/32d6m0d1 (2024).

  • 2024 environmental report. Google https://sustainability.google/reports/google-2024-environmental-report/ (2024).

  • Li, P., Yang, J., Islam, M. A. & Ren, S. Making AI less “thirsty”: uncovering and addressing the secret water footprint of AI models. Commun. ACM 68, 54–61 (2025).

    Google Scholar 

  • Chien, A. A., Zhang, C. & Lin, L. Beyond PUE: flexible datacenters empowering the cloud to decarbonize. In Workshop on Sustainable Computer Systems 2022 USENIX HotCarbon https://par.nsf.gov/biblio/10400420 (USENIX, 2022).

  • Source