算力+数据双轮驱动，北电数智打造城市级AI底座标杆案例

Group 1 - The importance of intelligent computing centers as key infrastructure is increasingly recognized, with a focus on identifying reliable service providers for construction and operation [1] - The construction of intelligent computing centers involves complex processes, including hardware setup, software development, and ongoing maintenance, where any misstep can impact overall efficiency and cost [1] - Numerous companies are entering the intelligent computing center market, offering diverse services to meet the growing demand [1] Group 2 - The Beijing Digital Economy Computing Center, planned and operated by Beidian Shuzhi, serves as a city-level AI foundation, integrating computing infrastructure, trusted data space, and innovation collaboration [2] - This project is recognized as a benchmark case for AI factories, addressing the explosive growth in demand for large model applications [2] - Beidian Shuzhi aims to create a customizable computing and data service support system for regional industrial upgrades, leveraging differentiated AI infrastructure [2] Group 3 - Beidian Shuzhi's Chief Scientist emphasized the need for trusted data services to unlock AI's potential, advocating for secure environments for professional data development [3] - The company has established a comprehensive service system covering data storage, development, circulation, and hosting through its "Red Lake Trusted Data Space" [3] - Discussions at the forum highlighted the importance of a dual-path approach combining technology and regulation to ensure data security and value release [3] Group 4 - Beidian Shuzhi has expanded its services into various sectors, including healthcare, industry, media, government, and finance, providing vertical model development and intelligent application services [4] - The company emphasizes the transformation of data into model capabilities through knowledge engineering, creating a value loop of "data-model-application" [4] - The Beijing Digital Economy Computing Center is set to continue leveraging computing and data as dual engines to accelerate the integration of AI technology with industry [4]