Unlocking the Sustainability of AI: Key Insights on Mistral Large 2 🌍🤖
In the evolving landscape of Artificial Intelligence, understanding environmental impacts is crucial. Here’s what we’ve learned from a comprehensive lifecycle analysis of Mistral Large 2:
- Water Usage: Total water consumption reached 281,000 m³ over 18 months of training and inference.
- Energy Footprint: Emissions stand at 20.4 kt CO2e, with data derived from stringent ISO 14040/44 assessments.
- Facility Operations: A 40 MW facility in Essonne, France operates with no detailed environmental breakdowns available for new data centers in Sweden.
- AI Impact: Each 400-token Le Chat response consumes 45 ml of water and contributes 1.14g CO2e.
While no water replenishment pledge exists, Mistral is dedicated to transparent environmental reporting and adhering to international sustainability standards.
👉 Join the conversation! Share your thoughts on AI sustainability and how we can collectively drive change in the industry.
