摘要:针对大规模AI模型训练的高强度通信需求,从高性能交换架构、高性能端口、低时延、无损流控和多维负载均衡等关键技术维度,提出新型网络芯片的整体解决方案。通过整合先进网络架构与多种优化手段,该方案能够有效降低通信开销、提升训练效率,推动AI和高性能计算的规模化应用落地。
关键词:网络芯片;高性能交换架构;高性能端口;低时延;无损流控;负载均衡
Abstract: Aiming at the high-intensity communication requirements for large-scale AI model training, an overall solution of new network chip is proposed from the key technical dimensions of high-performance switching architecture, high-performance ports, low-latency, lossless flow control, and multi-dimensional load balancing. By integrating advanced network architecture and various optimization means, this solution can effectively reduce communication overhead, improve training efficiency, and promote the large-scale application of AI and high-performance computing.
Keywords: network chip; high-performance switching architecture; high-performance port; low latency; lossless flow control; load balancing