Core Insights - The establishment of a "backbone network" for digital China has been achieved, with 18 cities including Beijing, Nanjing, and Suzhou having built data infrastructure nodes that are interconnected [1][2] - The data infrastructure supports various functions such as data collection, transmission, processing, circulation, utilization, operation, and security services [1] - The initiative marks a transition from fragmented construction to a systematic interconnection of data infrastructure, facilitating efficient data flow across 20 provinces in China [2] Summary by Categories Data Infrastructure Development - A total of 18 cities have established data infrastructure nodes, successfully achieving interconnectivity and incubating over 100 business scenarios [1] - More than 3,900 entities, including data exchanges and developers, are involved, providing over 13,000 data products [1] Innovations and Pilot Programs - In 2024, the National Data Bureau will collaborate with the 18 cities to explore six technical routes for trustworthy data spaces [1] - Nanjing and Suzhou are leading cities in data infrastructure construction, focusing on cross-domain data security and efficient circulation [1] Economic Impact - The interconnected data nodes act as data "hubs," enabling nationwide data resource flow, which supports the deep integration of the digital economy with the real economy [2] - The initiative allows for seamless data access and deployment across regions, promoting digital transformation across various industries [2]

Core Insights - The first batch of pilot projects for national data infrastructure construction has achieved positive results, with 18 city data infrastructure nodes established [1] - The initiative, which started last year, has completed its phase one construction tasks, enabling interconnectivity between facilities and incubating over a hundred business scenarios [1] - More than 3,900 entities, including data developers and data exchanges, have been aggregated, providing over 13,000 data products [1] Summary by Categories Infrastructure Development - The national data infrastructure construction has established 18 city nodes, including Beijing and Nanjing, and has achieved interconnectivity among these facilities [1] - The project has successfully incubated over a hundred business scenarios, indicating a robust development in data applications [1] Market Engagement - Over 3,900 entities are involved in the data infrastructure ecosystem, which includes data developers and data exchanges, showcasing a diverse market engagement [1] - The initiative has resulted in the provision of more than 13,000 data products, reflecting a significant output in the data market [1] Future Directions - The national data bureau plans to deepen scenario supply, focusing on new data field scenarios, high-value niche scenarios, and cross-regional comprehensive scenarios [1] - There is an emphasis on advancing technologies such as high-speed data transmission networks, dense computing, and intelligent retrieval to align with the needs of the artificial intelligence industry [1] - The strategy includes systematic deployment and application of data infrastructure on a larger scale [1]

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]

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 for advancement [1] - The layout of computing resources has been optimized, with operational data center costs in the western region estimated to be about 50%-70% lower than in the eastern region, indicating a substantial cost advantage [1] - Eight national hub nodes have been established with an intelligent computing scale of 620,000 PFLOPS, accounting for approximately 80% of the national total [1] Group 2: Collaborative Initiatives - The National Data Bureau has organized trials in 18 cities, including Beijing and Shanghai, focusing on six technical routes such as trusted data spaces [1] - A three-tier technical architecture has been constructed to promote collaborative 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 scale 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 eight major hubs, ten clusters, and various 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]

Core Viewpoint - The event focused on the construction of data infrastructure and its role in supporting the digital economy and technological innovation, emphasizing the need for a new infrastructure system that prioritizes data value release, network support, and computing power as a foundation [1][14]. Group 1: Event Overview - The "Data Infrastructure Theme Exchange Activity" was held in Guiyang, gathering representatives from government, industry, academia, and research to discuss the construction path of data infrastructure and the national integrated computing power network [1]. - Key officials, including Liu Liehong, the head of the National Data Bureau, highlighted the goal of creating a new infrastructure system aimed at high-quality standards, large-scale facility deployment, and market-oriented ecological operations [1]. Group 2: Regional Economic Performance - In the first half of 2025, Guizhou's GDP grew by 5.3%, with 49 key data centers under construction or in operation, achieving over 90% in intelligent computing and domestic production rates [2]. Group 3: Technological Innovations - Chen Jianfeng from the Chinese Academy of Engineering discussed innovations in green data centers, projecting that China's total computing power electricity consumption will exceed 300 billion kWh by 2024, with a significant reduction in energy consumption through new cooling technologies [3]. - The "cloud-edge computing" concept proposed by Wang Huaimin aims to connect dispersed computing resources through a collaborative mechanism, enhancing operational efficiency across over 900 computing centers [4]. Group 4: Industry Insights - Yu Xiaohui from the China Academy of Information and Communications Technology emphasized the need to address connectivity and circulation issues in data infrastructure, with the National Data Bureau's "three unifications" laying the groundwork for data connection [6]. - Xu Qiang from the National Information Center proposed a "three fives" strategy for computing power network construction, focusing on inclusive computing, green development, and addressing supply and service efficiency challenges [7]. Group 5: Monitoring and Evaluation - Hu Jianbo from the National Data Development Research Institute introduced a monitoring system with "four dimensions, three levels, and 60 indicators" to ensure effective management and utilization of data infrastructure [9]. Group 6: Local Practices and Achievements - Jiang Yang, Deputy Director of Guizhou Data Bureau, shared five initiatives that led to the establishment of 49 data centers and significant improvements in computing power and latency [11]. - Wang Wanjun from Jiangsu Data Bureau reported that the province's computing power reached 61.54 Eflops, with the digital economy's core industry contributing 11.8% to GDP [12]. Group 7: Key Outcomes - The event announced three significant outcomes: the establishment of a national integrated computing power network monitoring and scheduling platform, the second batch of pilot projects for national data infrastructure, and successful case studies demonstrating cross-domain integration [13][14].

Core Viewpoint - The National Data Bureau is establishing a new infrastructure system aimed at releasing data value, supported by networks and computing power, with a focus on data circulation and utilization facilities [1] Group 1: Infrastructure Development - The new data infrastructure system is designed to support the digital economy, technological innovation, and the construction of a unified national market [1] - The National Data Bureau will focus on high-quality standard construction, large-scale facility deployment, and market-oriented ecological operations during the "14th Five-Year Plan" period [1] Group 2: Strategic Goals - The aim is to create a convenient, efficient, autonomous, secure, and world-leading national-level data infrastructure [1] - The initiative is expected to effectively support the development of the digital economy and enhance the overall technological landscape in the country [1]

Group 1 - The core viewpoint of the news is that during the "14th Five-Year Plan" period, China's digital infrastructure has achieved world-leading status in terms of scale and technology, significantly contributing to the development of the digital economy and data circulation [1][2][3] - As of June 2023, the total number of high-quality data sets built in China exceeds 35,000, with a total volume of over 400PB, which is approximately 140 times the digital resource volume of the National Library of China [4][5] - By the end of 2023, the number of data circulation node cities in China is expected to expand to around 50, covering 80% of provinces, laying a foundation for large-scale cross-domain data circulation [3][5] Group 2 - The National Data Bureau has introduced over 10 new systems, including data property rights, as part of a comprehensive policy approach to promote the market-oriented allocation of data elements [2] - The number of 5G base stations is projected to increase fivefold by June 2025 compared to 2020, reaching 4.55 million, while the number of gigabit broadband users is expected to grow 34 times to 226 million [2] - The digital economy is expected to see software revenue grow by 80% by the end of 2024 compared to 2020, and the added value of the electronic information manufacturing industry is projected to increase by over 70% [2] Group 3 - The National Data Bureau has established data infrastructure guidelines and technical specifications to support the construction and operation of data infrastructure, with over 2,000 entities connected to the infrastructure [3] - The "data corpus equity investment" model is being piloted to encourage enterprises to convert high-quality data sets into equity investments [5] - The National Data Bureau plans to continue promoting the construction of high-quality data sets and enhance the recognition of data element value across society [5]

Core Insights - The report presented by Professor Zhao Xi focuses on the national data infrastructure policy framework and introduces the "INDDIGO" industry data infrastructure prototype system, emphasizing the importance of data as a strategic national resource comparable to electricity and communication [1][2]. Group 1: National Data Infrastructure - Data is increasingly recognized as a strategic national resource, necessitating a coordinated approach to build an efficient and trustworthy infrastructure network for data circulation and value transformation [1]. - The report highlights the need for a top-level design and systematic implementation of data infrastructure to support large-scale data flow and value creation [1]. Group 2: INDDIGO Prototype System - The "INDDIGO" system integrates four technological frameworks: blockchain, token technology, privacy computing, and data governance, aiming to address key issues such as weak data supply willingness and unclear distribution mechanisms [2]. - The system is designed to facilitate a data value co-creation infrastructure, focusing on key technological breakthroughs and economic models for data circulation [2]. Group 3: Application and Collaboration - Several enterprises and institutions have expressed interest in collaborating on the implementation of the INDDIGO system in various sectors, including government data integration and healthcare finance [3]. - The development of the INDDIGO system is the result of over a decade of technological accumulation and policy observation, addressing the core issue of lacking foundational infrastructure for data value circulation [3].

Core Viewpoint - Liaoning Province has become the first in the country to implement a three-year action plan for the construction and operation of data infrastructure from 2025 to 2027, aiming to enhance industrial transformation and high-quality development through a "dual-chain" model of data and industry [1] Group 1: Action Plan and Objectives - The action plan includes a key task list for 2025 and aims to leverage data infrastructure to release the value of data elements, facilitating industrial transformation [1] - The "dual-chain" model integrates data chains and industrial chains to empower the real economy, focusing on sectors such as petrochemicals, metallurgy, and healthcare [1][2] Group 2: Implementation and Expected Outcomes - The "demonstration samples" outline the overall situation of the industry, the current state of the industrial chain and data infrastructure, and the specific goals for empowering industrial transformation through the dual-chain approach [2] - Future steps include accelerating the transformation of sample industries, establishing collaborative mechanisms, and promoting significant breakthroughs in data utilization and supply chain collaboration [2] - The initiative aims to create a long-tail effect within the province's industrial chain and a radiation effect for other industrial chains, ultimately injecting new momentum into the province's economic and social development [2]

Core Viewpoint - The government is increasing financial support for the construction of long-term data infrastructure projects, emphasizing the importance of foundational and public data systems [1] Group 1 - The national data bureau announced that the central government will continue to increase fiscal funding to support local and industry-specific foundational data infrastructure projects [1] - The government plans to effectively utilize ultra-long-term special treasury bond funds to accelerate the establishment of a national data infrastructure framework [1] - There is a focus on expediting the development of a national data infrastructure plan in alignment with the "14th Five-Year Plan" [1]