Core Insights - The launch of the Jiangsu Integrated Computing Power Scheduling and Monitoring Platform marks the first provincial-level integrated platform in China, contributing to the national "East Data West Computing" strategy and the market-oriented reform of data elements [1][4][5] - The platform aims to enhance the efficiency of computing power resource allocation and usage, addressing the challenges of uneven distribution and low utilization rates [3][5] Summary by Sections Platform Overview - The platform was officially launched in Nanjing on November 13, 2025, under the guidance of various provincial authorities and constructed by the Provincial Data Group [1] - It has monitored 282 data centers across Jiangsu, with a total computing power of 87.3 EFlops, of which approximately 70% is intelligent computing [2] Operational Structure - Jiangsu has established a "1+13" two-tier operational system, where the provincial core acts as the "brain" for resource coordination, while 13 operational nodes serve local enterprises [2] - The platform employs a "1224" technical architecture, which includes a unified computing power portal, two service systems, two technical specification systems, and four capability centers [2] Regional and National Integration - The platform facilitates the flow of computing power as a key production factor across a broader area, providing standardized services and laying the groundwork for a unified national computing power market [4][5] - It serves as a critical node in the national computing network, enabling real-time data integration with the national platform and allowing local services to access national resources [4][5] Ecosystem Development - The platform is designed to activate a complete computing power service chain, from hardware to industry applications, enhancing the overall computing power ecosystem [6] - Major telecom operators are transforming into comprehensive service providers, integrating data, computing power, models, and security into their service capabilities [6][7] Technological Advancements - Technology companies like Huawei and H3C are focusing on key technologies to enhance computing power efficiency, addressing core challenges of stability and availability [7] - The platform's launch, along with the involvement of various industry players, is expected to create a collaborative ecosystem that transforms computing power into a widely accessible production factor [7]

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].