Energy efficiency measurement and evaluation method and optimization strategy for intelligent computing center
The rapid development and broad application of artificial intelligence are driving industrial innovation and global socio-economic progress.However,the sharp increase in AI model parameters has led to rising energy consumption,raising concerns about its sustainability and environmental impact.To address the potential surge in energy usage by these centers and ensure the sustainable development of AI technology,this paper first analyzes the energy footprint of AI and its evolving trends.It then introduces a scientific and systematic method for measuring and evaluating the energy efficiency of intelligent centers.Based on this analysis,a series of energy efficiency optimization strategies are proposed,offering valuable insights for the construction and operation of intelligent centers,and ultimately supporting the growth of the digital economy.
万方数据
维普
