Carbon of Compute

Carbon of Compute estimates the greenhouse gas and water footprint of running AI language models, per 1,000 output tokens or per task.

Each figure is split into four parts: the electricity the hardware draws, the manufacturing of that hardware spread over its working life, the datacenter facility plant, and optionally a share of model training. Footprint results come with low and high values. More