Alibaba Cloud HPN 10,000-GPU Intelligent Computing Network Wins CCF Science and Technology Progress First Prize: Effective Bandwidth Increased by Nearly 30%

The "Key Technologies and Applications of High-Performance Networks for Large-Scale Intelligent Computing Centers" project, jointly completed by Alibaba Cloud and Tsinghua University, won the First Prize for Science and Technology Progress from the China Computer Federation (CCF). Its HPN solution compresses the three-tier network into a two-tier flat, multi-rail parallel architecture, increasing the effective bandwidth of a 10,000-GPU cluster by nearly 30% compared with traditional architectures. In testing, bandwidth utilization reached 97%, about 37% higher than Microsoft's WABS technology, and GPU idle time caused by failures was reduced by an average of 97%. In the same period, the Alibaba Cloud Bailian platform added 65 new applications and 11 MCP services in one week, and launched the DeepSeek-V4.1-Flash model, which strengthens image-text understanding and Agent capabilities.