AI architecture increasingly prioritizes energy efficiency to manage the high power demands of large-scale models. By optimizing energy flow across data, model, and inference layers, developers aim for sustainable innovation. Future advancements like neuromorphic chips and adaptive routing are expected to further reduce the environmental impact of computing. The expansion of AI infrastructure offers significant...