GPU在人工智能領域中能效優(yōu)化策略與實踐

打開文本圖片集

中圖分類號：TP18 文獻標志碼：A

文章編碼：1672-7274（2025）05-0076-03

Abstract： GPU，as the core computing engine in the field of artificial inteligence，accelerates deep learning applications trough paralel computing. Systematically improve GPU computing eficiency and energy utilization from multiple levels， including hardware optimization，algorithm optimization，data preprocessing，and distributed training.The new generation GPU chips adopt advanced processes and innovative architectures，coupled with an optimized software ecosystem，significantly improving training and inference performance while ensuring model accuracy， providing efficient hardware infrastructure support for artificial intelligence applications.

Keywords： GPU optimization; energy efciency improvement; deep learning; hardware speedup

GPU（圖形處理單元）的最初設計意圖是用于加速圖形渲染，但隨著計算機技術的不斷進步，其應用范圍已擴展至人工智能、高性能計算和數(shù)據分析等多個領域。（剩余4437字）