Example Concept: The environmental impact of large AI models primarily stems from the energy-intensive process of training, which involves running numerous computations on powerful hardware like GPUs or TPUs. This process can consume vast amounts of electricity, often sourced from non-renewable energy, contributing to carbon emissions. Additionally, the cooling systems required to maintain optimal operating temperatures for these data centers further increase energy consumption.