基础软件筑牢信息安全底座 基础软件是信息系统的"地基"，而中间件作为连接操作系统与应用程序的"信息枢纽"。上世纪90年代， 国内中间件市场几乎被国际巨头垄断，一部分企业早早嗅到了自主研发的必要性，中创软件就是其中之 一。 "1998年，中创软件就看好未来基础软件市场趋势，与国内一流高校院所进行合作，开启基础软件中间 件研发。"中创软件商用中间件股份有限公司总经理高隆林说。如今，中创软件已成长为国内领先的基 础软件服务商，2024年成功登陆科创板。截至目前，公司已授权国家发明专利168项，积极参与Jakarta EE国际规范制定工作，牵头或作为主要单位制定国家标准19项。 在行业应用中，中创软件的成果屡见不鲜：能源领域，某大型电网企业规模化部署中创系列中间件产 品，打造全栈自主可控云平台，可稳定支撑千万级用户的流量洪峰；金融领域，某大型商业银行在半年 内完成几千套中间件的迁移部署与上线，实现金融业务系统的平滑迁移。其研发的"全域互联协同平 台"更成为党政数字化关键基础设施，实现跨层级、跨地域、跨系统、跨部门、跨业务的"五跨协同"， 实现每周三万多件的交换量，改变人工传递模式，大幅提升效率、降低成本，荣获"山东省 ...

Core Insights - The IDC report highlights the current challenges and scenarios in data space construction, predicting rapid growth in the urban data space market by 2025 due to government initiatives for data resource integration and sharing [1][2] Group 1: Data Space Market Analysis - Data space is defined as an operational model focusing on control capabilities, typically constructed by one or more entities based on business needs [1] - The report emphasizes that despite being in an exploratory phase, the urban data space market is expected to expand significantly by 2025 [1] Group 2: Company Initiatives - Inspur Cloud has actively explored various data space constructions, leveraging distributed intelligent cloud technology to create trusted data space products [1][3] - The company provides distributed data infrastructure services that support the entire lifecycle of data collection, calculation, and utilization, addressing security and trust issues among participants [1][2] Group 3: Case Studies - The Jinan Trusted Data Space, developed with the Jinan Big Data Bureau, integrates services like digital identity, privacy computing, and data authorization to enhance data utilization and drive digital transformation [2] - In the electricity sector, Inspur Cloud has built a trusted data space to manage the entire lifecycle of power data, facilitating intelligent operations and improving power supply-demand balance through advanced analytics [2] Group 4: Future Directions - The report suggests that technology providers should focus on privacy computing and gradually create a data industry ecosystem, leveraging large models within data spaces [3] - Inspur Cloud aims to accelerate the application of data elements and promote the widespread implementation of trusted data spaces through innovative models [3]

Group 1 - The "Digital China" initiative is gaining momentum, with Fuzhou aiming to become the "first city of digital applications" and seeking strategic cooperation with Jinan to build a digital corridor [1][2] - Shandong Province is focusing on digital transformation across various sectors, with a call for leading enterprises like Inspur to empower industries in their digitalization efforts [2] - Jinan has established a robust digital foundation, creating a "trusted data space + market-oriented elements" innovation model to enhance industry development and social governance [2][3] Group 2 - Large models are emerging as a new engine for innovation in the digital economy, with Inspur Cloud emphasizing the importance of scenarios as a core element in developing intelligent technologies [3] - Inspur Cloud has developed a "front store and back factory" model to efficiently connect intelligent technology with actual needs, supporting rapid iteration and optimization of large models [3] - During the conference, the signing of the Jinan Trusted Data Space Ecological Alliance and the National Marine Trusted Data Space Development Alliance took place, highlighting collaborative efforts in digital empowerment [3]

Core Viewpoint - The article discusses the launch of Inspur Cloud's "Distributed Intelligent Cloud" strategy, aimed at addressing the challenges of implementing artificial intelligence in organizations, emphasizing the importance of a comprehensive and sustainable approach to cloud services and AI integration [1][2]. Group 1: Strategic Vision - Inspur Cloud aims to become a "full-scenario operator of intelligent systems," promoting the vision of "intelligence everywhere with cloud" to enhance AI application across various sectors [2][3]. - The company emphasizes the need for a unified, one-stop intelligent architecture to facilitate the practical application of AI technologies [2]. Group 2: Technological Development - The strategy includes upgrading all existing distributed cloud nodes to distributed intelligent cloud nodes within six months, with a target of exceeding 1,000 nodes by the end of the year [1]. - Inspur Cloud has developed a dual-engine public service platform, DeepSeek and HaiRuo, to continuously provide model capabilities and support the deployment of over a hundred intelligent agents tailored to organizational needs [3]. Group 3: Market Positioning - Since entering the cloud service sector in 2011, Inspur Cloud has evolved from a government cloud system integrator to a distributed cloud service provider, focusing on industry cloud, data cloud, and large model strategies over the past five years [1]. - The company positions itself as an operator capable of addressing the operational challenges associated with localized deployment of large models, offering diverse cloud deployment options [3].