发展国产算力要自信敢用，院士专家热议算力国产化路径

Core Insights - The increasing global supply chain risks for high-performance computing highlight the importance of domestic computing capabilities in China's information industry and other sectors [1][3] - Experts emphasize the need for confidence in domestic computing facilities, innovative systems, and collaborative ecosystems to build a self-sufficient computing framework [1][3] Group 1: Domestic Computing Development - The "2024 China Computing Development Report" indicates that the total scale of computing centers in use will exceed 8.3 million standard racks, with a total computing capacity of 246 EFLOPS, ranking among the top globally [3] - Despite the large total computing capacity, the contribution of domestic computing facilities remains low, necessitating a shift in mindset to utilize domestic technology confidently [3][4] - Zhang Yunquan suggests a "research-first" strategy to overcome bottlenecks in the adoption of domestic computing technologies, particularly in commercial sectors facing cost pressures [3][4] Group 2: High-Performance Computing Significance - High-performance computing centers play a crucial role in advanced research fields such as scientific computation, engineering simulation, and genetic analysis, making their domestic development vital for sustainable innovation [4] - Domestic high-performance computing clusters, such as those developed by Sugon, can seamlessly integrate with mainstream software ecosystems, addressing over 95% of migration issues [4] - The recent restrictions by the U.S. National Institutes of Health on access to core biomedical databases for countries including China underscore the urgency of domestic computing capabilities [4][5] Group 3: Innovation and Collaboration - Achieving innovation in domestic computing requires attention to foundational theories, as highlighted by Chen Runsheng, who notes the efficiency of the human brain compared to large AI computing clusters [5] - Recommendations include forming open-source communities among domestic manufacturers and research institutions to foster iterative innovation while adhering to international standards [5] - Collaborative efforts across academia, industry, and application sectors are essential to identify common algorithms and optimize chip design and software development for broader domestic adoption [5]