According to @DeepLearningAI, Mistral published an 18-month life-cycle analysis of Mistral Large 2 that measures greenhouse-gas emissions, energy use, and consumption of water and other materials across data-center construction, hardware manufacturing, training, and inference (source: @DeepLearningAI post on Sep 1, 2025). According to @DeepLearningAI, the analysis covers total training impacts and includes inference-stage measurement, but the post does not provide numeric results, requiring traders to review the full report for metrics (source: @DeepLearningAI). According to @DeepLearningAI, the scope explicitly extends beyond model operations to include upstream infrastructure like data-center buildout and hardware production, clarifying where environmental costs accrue in the AI stack (source: @DeepLearningAI). According to @DeepLearningAI, the post does not mention cryptocurrencies or related tokens, and no crypto market impacts are specified (source: @DeepLearningAI).