AI Carbon Footprint Calculator

From Training to Inference Powered by the TokenFlop methodology (Digital4Better)

Most AI carbon tools focus on a single API call. This calculator covers the full picture: model training, inference at scale, and hardware manufacturing across text, image, audio, and video workloads. Built on the TokenFlop computational model (Digital4Better), it lets you configure hardware, PUE, energy mix, and corpus size to simulate realistic enterprise scenarios not just theoretical benchmarks.

Results are order-of-magnitude estimates derived from a physics-based computational model using publicly available hardware specifications and energy data. They are designed for comparative scenario analysis not direct emissions reporting. Assumptions and limitations are documented in the [TokenFlop methodology paper →].

Free and openly accessible. Designed for AI teams making infrastructure, model selection, and efficiency decisions and for organizations building AI governance frameworks aligned with emerging disclosure standards.