Fig. 6: Sensitivity of AI server energy–water–carbon impacts to key modeling assumptions. | Nature Sustainability

Fig. 6: Sensitivity of AI server energy–water–carbon impacts to key modeling assumptions.

From: Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA

Fig. 6

Sensitivity analysis for AI server energy consumption, water footprint and carbon emissions considering uncertainties of server lifetime, manufacturing capacities for AI servers, US allocation ratio, server idle power ratio, server maximum power ratio and training/inference distributions. The listed numbers for each parameter from left to right represent the considered low, applied and high values.

Source data

Back to article page