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浪潮云两案例入选IDC中国数据空间市场最佳实践
Huan Qiu Wang Zi Xun· 2025-05-28 06:14
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]
2025数智赋能创新发展主题会议举办
Zhong Guo Jing Ji Wang· 2025-04-30 23:40
4月28日,在第八届数字中国建设峰会召开之际,由济南市、浪潮集团主办,济南市大数据局、浪潮云 和云舟联盟共同组织的"有云处皆智能"2025数智赋能创新发展主题会议召开。与会嘉宾共同探索数智赋 能创新发展新思路,以开放、协同、共享的数智生态体系为新质生产力蓄势赋能。 福州市人民政府副市长林治良表示,当前"数字中国"建设呈现出蓬勃生机,福州是"数字中国"建设的思 想源头和实践起点,济南市成为黄河流域高质量发展的核心引擎。近年来,福州市依托"数字中国建设 峰会"这一重大平台,倾力打造"数字应用第一城"。未来希望福州市与济南市深化战略合作,共建陆海 数字走廊,与浪潮等企业共享发展机遇,共绘数字经济发展蓝图。 山东省政府副秘书长、省大数据局党组书记、局长王健表示,山东省锚定"走在前、挑大梁",聚力推进 经济社会各领域数字化转型,数字强省建设迈出新步伐、取得新成效。未来希望浪潮充分发挥行业龙头 企业引领作用,赋能千行百业数智化转型,为数字中国建设贡献山东力量。 济南市大数据局党组书记、局长张熙介绍,济南市在公共数据管理、算力基础设施、数据产业生态、场 景应用等方面具有深厚的数字底蕴,构建了"可信数据空间+要素市场化"的创 ...
浪潮云肖雪:以“分布式智能云”化解智能化落地难题
Zhong Guo Jing Ji Wang· 2025-03-25 16:38
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].