{"slug": "berget-ai-opens-its-emissions-method-after-correcting-its-texas-estimate", "title": "Berget AI opens its emissions method after correcting its Texas estimate", "summary": "Berget AI released an open-source method on October 21 for estimating AI emissions per request, and corrected its Kimi K3 estimate for Texas from 3.9 to 3.2 grams of CO2e per request after reviewing grid data. The method, announced by founder Andreas Lundmark, still excludes training emissions, and Berget AI plans a marginal-emissions estimate. The correction shows request-level carbon accounting is only as comparable as its underlying assumptions.", "body_md": "# Berget AI opens its emissions method after correcting its Texas estimate\n\n**Berget AI revised its Kimi K3 estimate for Texas from 3.9 to 3.2 grams of CO2e per request after reviewing grid data; its method still excludes training.**\n\n        By [RuntimeWire Staff](https://runtimewire.com/author/runtimewire-staff)\n        · Published \n\nPrimary source: [Berget AI](https://berget.ai/en/blog/per-request-co2-press-release)\n\n## Why it matters\n\nBerget is turning its Swedish infrastructure into part of the product comparison: buyers can weigh jurisdiction and emissions together. But the corrected figures and planned marginal-emissions estimate show that request-level accounting is only as comparable as its assumptions.\n\n[Andreas Lundmark](https://www.luminarventures.com/post/founder-series-a-conversation-with-andreas-lundmark?ref=runtimewire) spent nearly two decades building AI work at Boston Consulting Group before leaving to start [Berget AI](https://berget.ai/?ref=runtimewire). On October 21st, Berget AI released an open-source method for estimating emissions request by request, arguing that buyers need comparable figures to choose where their AI runs. The [announcement](https://berget.ai/en/blog/per-request-co2-press-release?ref=runtimewire) also includes a correction to its headline comparison.…\n\nWhen you purchase through links in our articles, [we may earn a small commission](https://runtimewire.com/affiliate-monetization-standards). This doesn’t affect our editorial independence.", "url": "https://wpnews.pro/news/berget-ai-opens-its-emissions-method-after-correcting-its-texas-estimate", "canonical_source": "https://runtimewire.com/article/berget-ai-opens-request-level-emissions-method", "published_at": "2026-10-23 10:35:59+00:00", "updated_at": "2026-10-23 13:40:05.954325+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-safety"], "entities": ["Berget AI", "Andreas Lundmark", "Kimi K3", "Boston Consulting Group", "Texas"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/berget-ai-opens-its-emissions-method-after-correcting-its-texas-estimate", "markdown": "https://wpnews.pro/news/berget-ai-opens-its-emissions-method-after-correcting-its-texas-estimate.md", "text": "https://wpnews.pro/news/berget-ai-opens-its-emissions-method-after-correcting-its-texas-estimate.txt", "jsonld": "https://wpnews.pro/news/berget-ai-opens-its-emissions-method-after-correcting-its-texas-estimate.jsonld"}}