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A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language Model

arXiv · · Significant research

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Summary

Researchers conducted a holistic assessment of the carbon footprint of Noor, a very large Arabic language model with up to 13 billion parameters. The study evaluated all stages of the project, including data collection and storage, research and development budgets, pretraining, and future serving estimates, alongside other exogenous costs. A key finding was that inference costs and external factors significantly contribute to the overall carbon budget. Why it matters: This represents a pioneering effort to comprehensively measure the environmental impact of a large-scale Arabic AI project, offering critical insights for developing more sustainable AI practices in the region and globally.

Keywords

Noor · Carbon Footprint · Arabic Language Model · Environmental Impact · AI Sustainability

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