According to DeepLearning.AI, Mistral has released an 18-month life-cycle analysis of its Mistral Large 2 AI model, providing detailed metrics on greenhouse-gas emissions, energy consumption, water usage, and material consumption. The report covers the full spectrum of AI deployment, including data center construction, hardware manufacturing, model training, and inference stages. This comprehensive assessment enables businesses to benchmark and optimize the environmental footprint of large language models, highlighting the need for sustainable AI practices and green data infrastructure (source: DeepLearning.AI, September 1, 2025).