新华日报记者 何玥颐 2025年11月13日，中国算力平台（江苏）暨江苏省一体化算力调度监测平台（以下简称"江苏省一 体化算力调度监测平台"）在南京正式上线。这是全国首个省市一体化算力调度监测平台。 据悉，该平台是在省发展改革委、省工信厅、省数据局和省通信管理局指导下，由省数据集团承 建。平台的正式上线以及与长三角部分城市的互联互通，标志着江苏在国家"东数西算"战略与数据要素 市场化配置改革的宏大棋盘上落下关键一子，为推动战略性资源统起来、用起来、活起来，加快构建全 国统一算力要素市场贡献"江苏智慧"。 一键下单，算力可"网购" 算力，作为推动人工智能发展的核心动力，能否"用得上、用得起、用得好"，是衡量区域数字竞争 力的关键指标，更是检验全国统一大市场建设成效的关键标尺。 省数据局党组成员、副局长王万军指出，江苏省一体化算力调度监测平台让算力这一关键生产要素 在更大范围内畅通流动，提供标准化的"服务"，最终为构建全国统一算力大市场夯实基础。 横向协同，长三角率先"组网"。发布会现场，上海超级计算中心主任李根国、浙江省新型互联网交 换中心副总经理宗胜、安徽省芜湖市大数据公司董事长胡蓉，与江苏省数据集团副总经理 ...

Core Viewpoint - The article highlights the development and significance of the "Fengyu" model, which is the world's first full-chain artificial intelligence forecasting model for space weather, enhancing China's capabilities in space weather monitoring and prediction [2][9]. Group 1: Importance of Space Weather Monitoring - The current solar activity poses threats to satellites, aircraft, and critical ground infrastructure due to unpredictable events like solar flares, likened to an invisible "cosmic tsunami" [4]. - Traditional forecasting methods rely heavily on numerical models, which are complex and time-consuming, making real-time responses challenging [5]. Group 2: Introduction of the "Fengyu" Model - The "Fengyu" model was officially launched on July 26, 2025, at the World Artificial Intelligence Conference, developed by the National Satellite Meteorological Center in collaboration with Nanchang University and Huawei [8]. - The model integrates physical models, numerical forecasting, and artificial intelligence, significantly improving China's space weather forecasting capabilities [9]. Group 3: Technological Innovations of the "Fengyu" Model - The model features a pioneering "chain training structure" that integrates forecasting processes into a collaborative system, addressing the limitations of previous isolated AI models [12]. - It introduces a unique "intelligent coupling optimization mechanism" that allows for real-time collaborative optimization among different regional models, enhancing forecasting accuracy [14]. - The model is built on the MindSpore Science suite and Ascend hardware, achieving superior training efficiency and predictive accuracy compared to traditional platforms [11][18]. Group 4: Performance and Applications - The "Fengyu" model has demonstrated exceptional short-term forecasting capabilities, maintaining prediction errors for global electron density within approximately 10% during significant geomagnetic storm events [25]. - It can guide spacecraft design and operational management, optimizing satellite fuel usage and flight posture in response to predicted space weather changes [27][28]. Group 5: Future Directions - The release of the "Fengyu" model marks a significant advancement in space weather monitoring and prediction, serving as a successful case in the AI for Science domain [30]. - Future developments aim to deploy AI capabilities directly on satellites for autonomous decision-making, representing a critical evolution in aerospace AI applications [31][32].