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]

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].