GPU在人工智能领域中能效优化策略与实践

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中图分类号：TP18 文献标志码：A

文章编码：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（图形处理单元）的最初设计意图是用于加速图形渲染，但随着计算机技术的不断进步，其应用范围已扩展至人工智能、高性能计算和数据分析等多个领域。（剩余4437字）