AI Carbon Footprint Calculator
Calculate the CO₂ emissions and energy cost of your GPU cluster. Factor in data center PUE, regional grid mix, and utilization hours — then compare every GPU by carbon efficiency.
Methodology
Power = GPU TDP × count × PUE. PUE (Power Usage Effectiveness) accounts for cooling, networking, and facility overhead. Typical hyperscalers run 1.1–1.3×; legacy on-prem averages 1.5–2.0×.
CO₂ = kWh × regional grid intensity (kg CO₂/kWh). Grid intensity varies 10× between cleanest (Sweden at 0.045) and most carbon-heavy (India at 0.713) grids. Data from 2024 IEA estimates.
Tokens per kg CO₂ = throughput ÷ daily CO₂. A higher score means more AI work per unit of carbon — the key metric for sustainable AI scaling and ESG reporting.
Formula: kWh = (GPU_TDP_W × count × PUE × hours) ÷ 1000 | CO₂_kg = kWh × grid_intensity | Throughput is estimated peak FP16 inference tokens/s. Actual numbers vary by model, batch size, and utilization rate.