# Our contribution to a global environmental standard for AI

DevFeed: [Our contribution to a global environmental standard for AI](<https://devfeed.tech/articles/our-contribution-to-a-global-environmental-standard-for-ai-7100.md>)

Original publisher: [Read original article](<https://mistral.ai/news/our-contribution-to-a-global-environmental-standard-for-ai/>)

Published: 2025-07-22T16:00:00Z

Content type: news

Language: en

Sources: [Mistral AI Blog](<https://devfeed.tech/sources/mistral-ai-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [LLMs](<https://devfeed.tech/topics/llms.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [AI Research](<https://devfeed.tech/topics/ai-research.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [ai](<https://devfeed.tech/tags/ai.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llms](<https://devfeed.tech/tags/llms.md>), [models](<https://devfeed.tech/tags/models.md>), [open](<https://devfeed.tech/tags/open.md>), [report](<https://devfeed.tech/tags/report.md>), [standards](<https://devfeed.tech/tags/standards.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [training](<https://devfeed.tech/tags/training.md>)

## AI overview

Mistral AI presents a lifecycle analysis of the environmental impacts of developing and using LLMs. Conducted with Carbone 4 and ADEME and peer-reviewed by Resilio and Hubblo, the study measures greenhouse gas emissions, water use, and resource depletion, and reports metrics for training Mistral Large 2 after 18 months of usage.

## Source excerpt

The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.