信息通信技术与政策2026，Vol.52Issue(2)：30-35,6.DOI:10.12267/j.issn.2096-5931.2026.02.005
人工智能时代高性能网络发展现状与趋势
Current development status and trends of high-performance network in the AI era
赵伟博 1桑柳 1陈锐豪 1苏越 1马飞1
作者信息
- 1. 中国信息通信研究院云计算与数字化研究所,北京 100191
- 折叠
摘要
Abstract
The rapid development of artificial intelligence(AI)large models has posed new challenges to high-performance network architectures.This paper systematically analyzes three core issues:the conflict between high-bandwidth demands and costs,bottlenecks in low-latency stability,and complexities in topology adaptation.It reveals the critical roles of enhancements in remote direct memory access(RDMA)technology,improvements in edge-side capabilities,and end-to-end network collaborative optimization.The study finds that there is an urgent need for industry-academia-research collaboration to address the challenges faced by high-performance network,and provides suggestions for development directions.Future trends point to collaborative innovation in protocol openness,hardware optoelectronic integration,and paradigm autonomy,which breaks the limitations of single-dimensional optimization through cross-layer design,thereby providing high-performance,low-energy-consumption interconnection support for ultra-large-scale AI clusters.关键词
高性能网络/远程直接内存访问/人工智能Key words
high-performance network/RDMA/AI分类
信息技术与安全科学引用本文复制引用
赵伟博,桑柳,陈锐豪,苏越,马飞..人工智能时代高性能网络发展现状与趋势[J].信息通信技术与政策,2026,52(2):30-35,6.
