Mistral AI releases environmental impact analysis of artificial intelligence model, revealing challenges in sustainable development
Mistral AI released a large language model environmental assessment report, revealing challenges in the sustainable development of AI technology. The report shows that 85.5% of carbon emissions and 91% of water consumption are concentrated in the training and inference phases. 18 months of operation produced 20.4 tons of carbon dioxide and consumed 281,000 cubic meters of water. A single interaction of 400 tokens produces 1.14 grams of carbon emissions and 45 milliliters of water consumption. The company acknowledges the limitations of the study, such as hardware performance evaluation, but the data align with industry assessments. Mistral calls for increased industry transparency and commits to updates.