A granular breakdown of energy, water, emissions, and mineral use across every phase of creating the Moshi foundation model, including failed runs and experiments, to support more sustainable AI practices.
MLCA: a tool for Machine Learn- ing Life Cycle Assessment, in: 2024 10th International Conference on ICT for Sustainability (ICT4S), IEEE, Stockholm, Sweden
2 Pith papers cite this work. Polarity classification is still indexing.
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Analysis of a compiled dataset shows steadily rising production-related environmental impacts for NVIDIA workstation graphics cards from 2013 to 2025.
citing papers explorer
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Environmental Footprint of GenAI Research: Insights from the Moshi Foundation Model
A granular breakdown of energy, water, emissions, and mineral use across every phase of creating the Moshi foundation model, including failed runs and experiments, to support more sustainable AI practices.
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The Rising Unsustainability of AI Graphics Cards Production
Analysis of a compiled dataset shows steadily rising production-related environmental impacts for NVIDIA workstation graphics cards from 2013 to 2025.