Assessing the Carbon Emissions and Energy Consumption of U.S. Hyperscale Data Centers
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Abstract (arXiv)
The rapid proliferation of hyperscale data centers (HDCs) in the US, mainly driven by the adoption of artificial intelligence, has raised concerns about this industry's environmental footprint. We compiled facility-level information on 403 US hyperscale data centers operating between May 2024 and April 2025 and estimated their electricity consumption, electricity sources, and attributable CO2 emissions. Across different facility-load scenarios, these HDCs consumed approximately 68-99 TWh of electricity and were associated with about 37-54 million metric tons of CO2. Under the central scenario, HDC electricity demand corresponded to approximately 1.8% of total US electricity consumption, with roughly 54% of attributed generation supplied by fossil-fuel sources. The HDC electricity-weighted average carbon intensity was approximately 545 gCO2/kWh, about 48% above the contemporaneous US national grid-average carbon intensity of 370 gCO2/kWh. Our approach provides an attributional tool for assessing the environmental footprint of hyperscale data centers using the most recent EPA eGRID plant-level data.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 51 references that are in the map. First posted on arXiv 3 Jun 2026.
Builds on
4 of 51 references.
References · 4
- 2019Energy and Policy Considerations for Deep Learning in NLPcited by 1,254
- 2021Carbon Emissions and Large Neural Network Trainingcited by 567
- 2022Measuring the Carbon Intensity of AI in Cloud Instancescited by 111
- 2023Carbon Responder: Coordinating Demand Response for the Datacenter Fleetcited by 5
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Citing papers per year: 2026: 1.
1 paper.