Core Insights - The development of the data industry is a crucial measure for deepening the market-oriented allocation of data elements and constructing a digital economy centered around data [1] - The 2025 China International Big Data Industry Expo attracted investments totaling 46.336 billion yuan, highlighting the growing interest in data and computing industries [1] - By the end of this year, the added value of the digital economy is expected to reach approximately 49 trillion yuan, accounting for about 35% of GDP, with the core industries of the digital economy achieving their "14th Five-Year Plan" targets ahead of schedule [1] Group 1: Data Infrastructure Development - The national data infrastructure is gradually forming a new type of infrastructure system aimed at releasing the value of data elements, supported by networks and computing power [2] - Eight national hub nodes have been established, with a computing power scale of 620,000 PFlops, accounting for about 80% of the national total [2] - Guizhou's computing power has exceeded 92,000 PFlops, with large and super-large scales accounting for about 60%, forming three trillion-level industrial clusters [2] Group 2: Trusted Data Space - The Trusted Data Space is a new type of data circulation infrastructure that connects multiple parties based on consensus rules, enabling data resource sharing [2] - The National Data Bureau has released the "Trusted Data Space Development Action Plan (2024-2028)" to promote the exploration of various data space scenarios and mechanisms [2] Group 3: Data Utilization and Applications - The data industry is seen as essential for developing new productive forces and fostering new growth drivers, with big data playing a significant role across various sectors [5] - The "Data Element X Action" has been implemented to promote public data utilization and key scenario construction, resulting in over 14,000 products and services developed from meteorological data alone [6] Group 4: Artificial Intelligence and Data Quality - The demand for high-quality data has surged due to the rapid development of artificial intelligence, which is now shifting focus from model-centric to data-centric approaches [8] - The National Data Bureau has initiated a pilot program for high-quality data set construction, with 140 data sets selected from 335 applications, covering 18 key fields [8][9] - As of June this year, over 35,000 high-quality data sets have been established nationwide, totaling over 400 PB [9]

Core Insights - The 2025 China International Big Data Industry Expo was held in Guiyang, focusing on the theme "Data Aggregates Industrial Momentum, Intelligent Development New Chapter" [1] - Inspur Yunzhou showcased innovative solutions, including a trusted data space service platform and a low-power liquid-cooled hyper-converged heterogeneous cryptographic computing platform [1][7] Group 1: Trusted Data Space Service Platform - The platform aims to build a secure and efficient trusted data space, facilitating compliant and efficient circulation of data elements, which is essential for a unified national data market [3] - It utilizes a self-developed "Data Chain Network Integration Technology System (QID)" and integrates multiple trusted control technologies, establishing four core security domains and one operational management domain [3] - The platform addresses data application challenges in government, industry, and enterprises, promoting secure and trusted data circulation and development across regions and sectors [3] Group 2: Data Security and Sharing Mechanisms - The platform ensures data security and traceability, alleviating concerns about data misuse and leakage, thus addressing the "unwilling to share" dilemma [4] - It innovatively creates a "product + service" matching mechanism, enhancing participants' awareness of the benefits of data sharing and service output [4] - A unified data directory and contract management system facilitate inter-entity data connectivity, overcoming the "cannot circulate" challenge [4] Group 3: Comprehensive Service Ecosystem - Inspur Yunzhou integrates computing resources, data services, model services, and application services into a centralized intelligent hub, creating a standardized and modular AI empowerment toolchain [5][8] - The platform supports end-to-end services from model development, training, to inference deployment, providing core capabilities such as intelligent decision-making, visual inspection, and process optimization [5][8] - It establishes a unified data specification and tools for data collection, engineering, and high-quality data set services, enabling cross-enterprise and system data interoperability [8] Group 4: Low-Power Liquid-Cooled Cryptographic Computing Platform - The low-power liquid-cooled hyper-converged heterogeneous cryptographic computing platform features high performance, low power consumption, and high reliability, suitable for harsh environments [7] - It supports conventional encryption algorithms and user permission management, making cryptographic protection a manageable infrastructure component for various government and industrial applications [7]

Group 1 - The core viewpoint of the articles highlights the rapid growth of data production in China, projected to reach 41.06 zettabytes by 2024, which is more than double the amount during the 13th Five-Year Plan period. However, challenges such as data sharing difficulties, uncontrolled data usage, lack of a secure and trustworthy environment, and difficulty in realizing data value persist, hindering the high-quality development of the digital economy [1][2] - The "Industry Trusted Data Space Service Platform" launched by Inspur Yunzhou integrates a "data chain network fusion technology system" to support secure and efficient data circulation and utilization, aiming to break down data circulation barriers and promote the transformation of data value [1][2] - The Trusted Data Space is described as a foundational infrastructure for data circulation and utilization, enabling resource sharing among multiple parties and supporting the construction of a unified national data market [2] Group 2 - The platform has already been applied in various sectors such as healthcare, telecommunications, meteorology, and high-end equipment, with a notable project in the healthcare sector that enhances efficiency in medical insurance claims by over 55% [3] - In the government sector, the platform has established two provincial-level data circulation and utilization frameworks, significantly simplifying processes for over 300,000 individuals and improving inter-departmental data sharing efficiency by 36% [3] - In the telecommunications industry, the platform has created a data circulation system that integrates circulation models, regulatory norms, and technical platforms, providing precise decision support for urban governance and public safety, with expected annual economic benefits exceeding 10 million [4]

Core Insights - The article discusses the rapid development of the data factor market in China, highlighting the increase in data transaction entities and the importance of data asset management for competitive advantage [1][2]. Industry Overview - The data market in China is evolving with over 2,600 new supply and demand entities reported in the second quarter of this year [1]. - Various companies are emerging in the data market, including those specializing in data labeling, governance, and transaction services, as well as third-party data service providers [2]. Company Highlights - GuoXin ZhongJian Digital Technology Co., Ltd. is a state-owned enterprise under the guidance of the National Information Center, focusing on health and elderly services, intelligent computing center operations, and data asset operations [2]. - The company launched the "ShuXiang Wang" product during the Big Data Expo, which is a one-stop service platform integrating data rights confirmation, asset registration, and data trading [2]. Product Features - The "ShuXiang Wang" platform offers five differentiated advantages, including comprehensive data asset management, rapid network establishment, scenario-based and scalable replication, compliance risk layering, and precise ecological positioning [3]. - The platform's operational approach follows a pathway of compliance pre-positioning, pilot operation, scenario construction, and large-scale promotion [3]. Market Development - GuoXin ZhongJian plans to invest in the construction of 100 trusted data space projects across the country, establishing critical data infrastructure [3]. - Trusted data spaces are being developed in various locations, including Lanzhou New Area, Beijing Daxing District, Shanghai Xihongqiao, Chongqing Changshou District, Tianjin Dongli District, Anshan in Liaoning, and Qinhuangdao in Hebei [3].