Beschreibung
Gigawatt-Rechenzentren, Inferenz und Reboundeffekt: Prof. Stefan Naumann über Strombedarf und Effizienz von KI-Modellen
IEA, Energy and AI, Executive Summary (2025). https://www.iea.org/reports/energy-and-ai/executive-summary
https://ees2.slac.stanford.edu/sites/default/files/2023-12/10%20-%20Patterson.pdf
Elsworth et al. (Google), Measuring the environmental impact of delivering AI at Google Scale (2025). https://arxiv.org/abs/2508.15734
AI Energy Score (Hugging Face), Energiebedarf von KI-Modellen je Aufgabe. https://huggingface.github.io/AIEnergyScore/
Luccioni, Viguier, Ligozat, Estimating the Carbon Footprint of BLOOM (2022). https://arxiv.org/abs/2211.02001
Colangelo et al., Turning AI Data Centers into Grid-Interactive Assets (2025). https://arxiv.org/abs/2507.00909
