国家数据基础设施建设取得积极进展 一定范围内实现数据“一点发布、全域可见”

Core Insights - The National Data Bureau has reported significant progress in the construction of national data infrastructure over the past year, aiming to create a new infrastructure system focused on releasing the value of data elements, supported by networks and computing power [1] Group 1: Infrastructure Development - A guideline for national data infrastructure construction has been released, establishing a "three-step" approach to advance the initiative [1] - The optimization of computing resource layout shows that the operational costs of data centers in the western region are approximately 50%-70% lower than those in the eastern region, indicating a substantial cost advantage [1] - Eight national hub nodes have been established with a total intelligent computing scale of 620,000 PFLOPS, accounting for about 80% of the national total [1] Group 2: Collaborative Framework - The National Data Bureau has organized trials in 18 cities, including Beijing and Shanghai, focusing on six technical routes to promote collaborative data infrastructure [1] - A three-tier technical architecture has been constructed to facilitate coordinated data infrastructure across regions, with seven regional functional nodes and 25 city business nodes established, covering 16 provinces [1] - By the end of this year, the number of city business nodes is expected to expand to around 50, covering 80% of provinces [1] Group 3: Computing Resource Monitoring - An integrated computing network experimental verification platform has been established, creating a "dynamic map" of national computing resources based on 63 indicators [2] - The platform enables monitoring and scheduling of computing resources across eight hubs, ten clusters, and several non-hub provinces, covering 901 computing facilities [2] - It can schedule 40,000 PFLOPS of multi-source computing power across different entities and regions, offering over 40 products and services related to general computing, intelligent computing, and supercomputing [2]