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Structured PREreview of More than Carbon: Cradle-to-Grave environmental impacts of GenAI training on the Nvidia A100 GPU

by TEMILADE SORUNGBE

Published: October 4, 2025
DOI: 10.5281/zenodo.17268198
License: CC BY 4.0

Does the introduction explain the objective of the research presented in the preprint?: Yes
Are the methods well-suited for this research?: Highly appropriate
Are the conclusions supported by the data?: Highly supported
Are the data presentations, including visualizations, well-suited to represent the data?: Highly appropriate and clear; Visuals presented are easy to comprehend/interpret and support the narrative. The y-axis label on figure 7 should be edited to clarify if variations(%) is in terms of inhabitants or the absolute environmental impact value.
How clearly do the authors discuss, explain, and interpret their findings and potential next steps for the research?: Very clearly; Authors thoroughly explain LCIA results in terms of %contributions per life cycle stage and planetary boundary per capita across multiple criteria.
Is the preprint likely to advance academic knowledge?: Highly likely; This preprint advances academic knowledge because it spells out the scale of environmental impact of training AI models and highlights the need for open primary data and opportunities to wholistically assess environmental impact in terms of environmental justice and beyond carbon emissions
Would it benefit from language editing?: No
Would you recommend this preprint to others?: Yes, it’s of high quality
Is it ready for attention from an editor, publisher or broader audience?: Yes, after minor changes; 1. Authors should consider revising figure 7 by including the units of variation so readers can better interpret the magnitude of impact 2. Authors should consider explaining absolute environmental impact values summed across all life cycle stages. For example understanding the scale of the absolute environmental impact of water use (summed across all life cycle stages) may help the reader better understand its localized impact

Competing interests

The author declares that they have no competing interests.

Use of Artificial Intelligence (AI)

The author declares that they did not use generative AI to come up with new ideas for their review.

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