Green AI Carbon Optimizer: Carbon-Efficient Training Location Recommendation and Global AI Energy Demand Forecasting

The Green AI Carbon Optimizer introduces a carbon-aware cloud region recommendation method for AI training and a power law forecasting pipeline for global AI energy demand. The location recommendation model integrates regional grid carbon intensity, renewable energy share, and data center Power Usage Effectiveness, achieving up to a 97.2% reduction in CO2 emissions by optimizing training locations. The energy demand forecasting predicts a significant range in global AI energy consumption by 2030, emphasizing the need for practitioners to consider environmental impacts and energy efficiency in model development and deployment strategies.