Berget AI measured the carbon intensity of a single AI inference request and found it releases 8.5 times more CO₂ in Texas than in Sweden. The disparity comes from the underlying electricity mix that powers the data c…

The study used identical workloads on comparable hardware in the two regions and applied publicly available grid‑emission factors. Texas’ grid, still reliant on coal and natural gas, produced roughly 0.7 kg CO₂ per ki…

Electricity generation is the dominant source of emissions for AI inference. When a model processes a prompt, the GPUs consume power continuously; the carbon cost is then a function of the regional grid’s carbon inten…

The implication is simple: moving AI workloads to low‑carbon regions can slash per‑request emissions without changing the model or hardware. Companies that already operate multi‑regional data‑center fleets can shift i…