Berget AI opens its emissions method after correcting its Texas estimate
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.
By RuntimeWire Staff · Published
Primary source: Berget AI
Why it matters
Berget 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.
Andreas Lundmark spent nearly two decades building AI work at Boston Consulting Group before leaving to start Berget AI. 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 also includes a correction to its headline comparison.…
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