Midea Group(SZ:000333) 雷峰网·2025-12-15 07:44Core Viewpoint - The future of intelligent computing will be defined by those who can establish standards, models, and foundational systems, leading to true dominance in the next generation of intelligent competition [2][3]. Group 1: Conference Overview - The GAIR 2025 conference, focusing on "AI Computing in the New Decade," was held in Shenzhen, aiming to connect technological advancements with industrial practices [2]. - The afternoon forum centered on the theme "Who Will Define the Future of Intelligent Computing," shifting focus from breakthrough innovations to systematic construction and value closure [2][3]. Group 2: Key Presentations - Wang Zhi from Tsinghua University discussed the challenges of industrial large models, emphasizing the need for a new paradigm of "training and inference collaboration" to drive intelligent manufacturing [4][6]. - Liu Xiangyang, an IEEE Fellow, highlighted that a company's AI capabilities are fundamentally determined by its digital foundation, stressing the importance of a robust digital infrastructure [9][11]. - Zhao Hongbing from Beijing Parallel Technology emphasized the need for computing services to transform from mere resources to productive forces, advocating for a user-centric approach in computing service operations [14][16]. - Shi Tianhui from Qingcheng Jizhi pointed out the importance of software in unlocking the value of computing power, advocating for the growth of the MaaS (Model as a Service) market [19][20]. - Lü Haifeng from Dingxi Zhichuang proposed a "wet and dry combined" approach to tackle data bottlenecks in AI and new materials, emphasizing the integration of AI in material design and development [22][24]. Group 3: Industry Insights - The current computing market faces challenges such as low utilization rates of computing resources, with many intelligent computing centers averaging below 40% [28]. - The transition from "building first, using later" to a more efficient model prioritizing cost-effectiveness and user scenarios is underway in the computing industry [28][29]. - The MaaS model is seen as a key to achieving a value closure in computing, allowing users to access computing power at lower costs while suppliers optimize their technology to reduce expenses [29][30]. - The future of AI in China is expected to shift from training to inference by 2025, with a growing emphasis on the MaaS market and the integration of domestic chips and cooling technologies by 2026 [30].