Core Insights - The European Centre for Medium-Range Weather Forecasts (ECMWF) has announced the opening of its real-time data catalog to global users, providing access to high-resolution weather forecast data [2] - Zhongke Tianji, a subsidiary of Zhongke Shuguang, has launched a "High-Resolution Meteorological Data Sharing Plan," offering global and regional weather data with higher resolution and frequency [2][3] - The trend of data sharing and openness in the meteorological service industry is gaining momentum, driven by technological advancements and policy support [3][4] Group 1: Data Sharing Initiatives - ECMWF provides daily forecasts covering 1-15 days with a maximum resolution of 0.1° grid point data, including various meteorological variables [2] - Zhongke Tianji offers over 160 meteorological elements with a resolution of 12 kilometers globally and 3 kilometers for China, outputting data hourly for 15 days [2][3] - The simultaneous data sharing initiatives by ECMWF and Zhongke Tianji highlight a significant shift in the meteorological data service industry [2] Group 2: Policy and Technological Support - The acceleration of data sharing is supported by systematic restructuring from top-level design, with various provinces in China implementing market-oriented data reform plans [3] - The Chinese government is the largest contributor to data sharing, with platforms providing millions of data downloads and fostering numerous AI application scenarios [3] - The World Meteorological Organization's initiatives have increased the demand for forecast products, further promoting data openness [4] Group 3: Competitive Advantages of Zhongke Tianji - Zhongke Tianji's data offers higher resolution for China at 3 kilometers compared to ECMWF's 12 kilometers, catering to specific industry needs [4][5] - The data output frequency from Zhongke Tianji is more granular, providing hourly updates, while ECMWF uses tiered output intervals [5] - Access to Zhongke Tianji's data is free for domestic users, contrasting with ECMWF's cost structure, which can reach approximately 1.9 million for comprehensive data access [5] Group 4: Technological Innovations - Zhongke Tianji's data sharing is supported by advanced technologies, including deep integration of dynamics and physics, enhancing the quality of meteorological applications [6] - The company aims to address challenges in high-resolution simulations and timeliness through seven foundational technologies [6] - The establishment of an AI open computing architecture by Zhongke Shuguang represents a significant advancement in the AI industry, promoting collaborative innovation [7][8]

Core Insights - The article discusses the transformative impact of artificial intelligence (AI) on various industries in China, positioning it as a core engine for high-quality economic development [1] - It highlights the challenges faced in achieving comprehensive intelligence, including fragmented computing infrastructure and isolated high-quality industry data [1] - The need for a new paradigm that transcends traditional product sales and focuses on ecosystem building is emphasized, with a call for a "architect" to integrate resources and drive collaborative innovation [1] Industry Overview - The current state of China's AI computing sector is characterized by a paradox of diverse innovations and rigid barriers, leading to inefficient resource utilization [2] - The "AI Computing Open Architecture" initiative, launched by Zhongke Shuguang in collaboration with over twenty partners, aims to create an "Android-like" ecosystem for China's AI industry [2] - This architecture promotes an open and collaborative approach, encompassing a five-layer system that standardizes interfaces and protocols, facilitating the integration of heterogeneous computing resources [2] Company Strategy - Zhongke Shuguang is transitioning from a hardware supplier to a builder and leader of the AI industry ecosystem, providing a platform for collaboration among algorithm companies, application developers, and research institutions [3] - The company’s strategy includes the release of high-quality data sets, such as the "High-Resolution Meteorological Data Sharing Program," which offers precise meteorological data to the public [4][5] - The synergy between top-tier computing power and high-quality data is expected to create significant ripple effects across various industries, enhancing innovation and application [5] Future Outlook - Zhongke Shuguang's strategic path involves creating a closed-loop ecosystem that integrates powerful computing infrastructure with high-quality data resources, supporting the "Artificial Intelligence+" initiative [6] - The company is positioned to play a crucial role in China's digital economy and technological self-reliance, contributing to the nation's leadership in the global digital landscape [6]

Group 1 - Zhongke Shuguang's subsidiary, Zhongke Tianji, has launched a high-resolution meteorological data sharing initiative, marking a significant milestone in China's AI industry for open sharing and industrial integration [1][2] - The shared meteorological data includes global 12 km and regional 3 km resolution data, covering over 160 meteorological elements such as temperature, wind field, and precipitation, with a time scale of up to 15 days and hourly updates [2][3] - The initiative addresses the data bottleneck, a key factor in AI development, as China has abundant data resources but lacks effective and high-quality domain-specific data [3][5] Group 2 - The AI computing open architecture, announced by Zhongke Shuguang in collaboration with over 20 industry partners, aims to foster collaborative innovation across the AI ecosystem, moving away from isolated technological advancements [4][5] - China's AI industry is projected to exceed 900 billion yuan in 2024, with a year-on-year growth of 24%, and over 5,300 companies operating in the sector [5] - The establishment of standards and frameworks for collaborative innovation, along with the development of legal regulations and ethical guidelines, positions China's AI industry for high-quality growth and a more significant role on the global stage [5][6]

Core Insights - The "High-Resolution Meteorological Data Sharing Plan" launched by Zhongke Tianji aims to provide global meteorological data with a resolution of 12 kilometers and 3 kilometers for China, outputting data every hour for 15 days, addressing the challenges of high-quality commercial meteorological data acquisition and high costs [1] Group 1: Data and Technology - The data is sourced from Zhongke Tianji's self-developed "Global Regional Integrated Weather Numerical Simulation System," which utilizes the "Super Dynamics SD3" algorithm and the AI supercluster computing power from Zhongke Shuguang [1] - The AI supercluster is designed with an open architecture, featuring ultra-high performance, efficiency, reliability, and scalability, capable of supporting trillion-parameter model training and multi-modal model development [1] Group 2: Industry Applications - In the renewable energy sector, the plan provides meteorological data support for wind farms and photovoltaic power stations, enhancing energy generation efficiency and asset value through 46-day long-term simulations of wind speed and irradiance [2] - In the low-altitude economy, the plan offers detailed simulations and vertical atmospheric data below 3 kilometers, improving operational efficiency for low-altitude commercial applications [2] - In the transportation sector, simulations of severe weather conditions can assist in optimizing logistics for road, rail, and port operations, reducing energy consumption and operational costs [2] Group 3: Scientific Contribution - The data shared by Zhongke Tianji is recognized for its scientific significance, contributing to both scientific research and business applications, with a call for more enterprises to recognize the value of widespread data utilization [2]