Energy-Hungry Artificial Intelligence Has an Unsustainable Environmental Impact
Università Cattolica del Sacro CuoreEnergy-hungry Artificial Intelligence ‘has an unsustainable impact in terms of CO2 emissions; training large deep learning models (such as GPT and BERT) has a significant environmental impact, in fact training a model such as GPT-3 (175 billion parameters) required 355 GPU-years (the GPU is the type of processor used for AI), costing an estimated $4.6 million in energy alone and consuming around 1300 megawatt-hours (MWh) for training alone, equivalent to the annual consumption of 130 homes in the US.