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]

Group 1 - The artificial intelligence (AI) industry is experiencing explosive growth, becoming a key driver of new productive forces, with various cities implementing policies to support its development [1][2] - By 2025, key cities like Hangzhou and Tianjin aim to cultivate high-level AI models and overcome critical technological challenges in GPU and AI operating systems [1][2] - The first Jiuxianqiao Forum was held to address challenges in AI application, including difficulties in commercializing domestic computing power and releasing data value [1][4] Group 2 - The Jiuxianqiao Forum, themed "Opening the AI Productivity Era," featured 11 sub-forums over six days, focusing on AI industry innovation, ecological development, and future digital intelligence [2][5] - Beijing Electric Control's AI company, Beidian Shuzhi, aims to break industry bottlenecks with an innovative model integrating AI infrastructure and platforms [2][3] - Beidian Shuzhi's AI heterogeneous computing platform enhances domestic chip performance and supports the commercial application of domestic computing power [2][3] Group 3 - Beidian Shuzhi's platforms are facilitating the transformation of traditional industries, such as healthcare and finance, by providing tailored AI solutions [3][4] - In healthcare, collaborations with top hospitals aim to develop AI models for various medical applications, potentially accelerating the implementation of tiered medical systems [3][4] - The new industry acceleration platform focuses on integrating AI into emerging sectors like low-altitude economy and autonomous driving, enhancing efficiency and reducing risks [3][4] Group 4 - Data is recognized as a crucial infrastructure in the digital economy, yet challenges remain in data storage and sharing, limiting AI productivity [4][6] - Academician Wu Hequan proposed building a trusted data space to improve data circulation and management, addressing concerns about data sharing among enterprises [4][6] - Beidian Shuzhi's "Red Lake Trusted Data Space" enables secure data utilization while maintaining privacy, creating an efficient data exchange ecosystem [4][6] Group 5 - The forum included discussions on various topics related to AI infrastructure, data, computing power, models, and talent development, fostering new ideas for the AI industry [5][6] - Strategic agreements were signed between Beidian Shuzhi and other organizations to deepen the integration of core resources in the AI industry [6] - The Jiuxianqiao Forum serves as a vital platform for addressing industry bottlenecks and promoting the integration of AI with the real economy [6]