{"slug": "estimate-and-track-the-environmental-footprint-of-genai-models-at-inference", "title": "Estimate and track the environmental footprint of GenAI models at inference", "summary": "EcoLogits, an open source project under the CodeCarbon non-profit, offers a suite of tools for estimating the environmental footprint of generative AI models at inference, built on life-cycle assessment principles. The suite includes a Python library that tracks impacts of AI requests made through official client SDKs, a JavaScript and TypeScript library published as @ecologits/ecologits.js on npm, an API service for embedding the impact assessment methodology into applications, and CodeCarbon for tracking energy use and CO₂ emissions of code on local hardware or cloud VMs. Data For Good and Boavizta supported the project's development with tools, best practices and environmental impact assessment expertise.", "body_md": "## Project\n\n**EcoLogits** is a suite of **open source tools** for estimating the **environmental footprint of generative AI models at inference**. Based on **life-cycle assessment principles**, the project raises awareness about the direct environmental impacts of AI while empowering developers and organizations to build **more sustainable AI-powered applications**.\n\n- **Open & transparent** – Code, methodology, and data are openly accessible.\n- **Ease of use** – Emphasizes on seamless integration and user experience.\n- **Community-driven** – Continuously built and improved collaboratively.\n\n## Tools\n\n### EcoLogits Calculator\n\n### EcoLogits\n\nA **Python library** to track environmental impacts of AI requests made through official client SDKs.[Learn more](../get_started) \n\n### EcoLogits.js\n\nA **JavaScript and TypeScript library** to estimate the environmental impacts of generative AI.[Learn more](https://www.npmjs.com/package/@ecologits/ecologits.js) \n\n### EcoLogits API\n\nAn **API service** enabling integrations of our impact assessment methodology into your applications.[Learn more](https://api.ecologits.ai/docs) \n\n### CodeCarbon\n\nLocal compute\nTrack the **energy use and CO₂ emissions** of code running on your own hardware or cloud VMs.[Learn more](https://docs.codecarbon.io/latest/) \n\n## Contributors\n\nPeople who contribute significantly to the project.\n\n## Sponsors\n\nOrganizations who make this project possible.\n\n## Acknowledgements\n\nEcoLogits is part of the [CodeCarbon](https://codecarbon.io/)  non-profit. Together aim to build open and robust tools to assess and reduce the environmental footprint of AI.\n\nWe extend our gratitude to [Data For Good](https://dataforgood.fr/)  and [Boavizta](https://boavizta.org/en)  for supporting the development of this project. Their contributions of tools, best practices, and expertise in environmental impact assessment have been invaluable.", "url": "https://wpnews.pro/news/estimate-and-track-the-environmental-footprint-of-genai-models-at-inference", "canonical_source": "https://ecologits.ai/latest/", "published_at": "2026-10-31 10:19:08+00:00", "updated_at": "2026-10-31 10:49:00.284352+00:00", "lang": "en", "topics": ["ai-safety", "ai-tools", "developer-tools", "artificial-intelligence"], "entities": ["EcoLogits", "CodeCarbon", "EcoLogits.js", "EcoLogits API", "Data For Good", "Boavizta"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/estimate-and-track-the-environmental-footprint-of-genai-models-at-inference", "markdown": "https://wpnews.pro/news/estimate-and-track-the-environmental-footprint-of-genai-models-at-inference.md", "text": "https://wpnews.pro/news/estimate-and-track-the-environmental-footprint-of-genai-models-at-inference.txt", "jsonld": "https://wpnews.pro/news/estimate-and-track-the-environmental-footprint-of-genai-models-at-inference.jsonld"}}