（编辑 任世碧） 证券日报网讯 广合科技11月17日在互动平台回答投资者提问时表示，广合科技过去十年的业绩成长有 目共睹，广合科技未来的发展大家拭目以待。公司聚焦算力产业，稳健经营，务实进取，对公司未来的 发展充满信心。二级市场股价波动受多种因素影响，但短线股价的波动不会改变公司的长期价值。公司 与投资者沟通渠道通畅，公司会向投资者积极传递公司的价值。 ...

Core Viewpoint - The article emphasizes the growing demand for green electricity in China's computing power centers, highlighting the need for collaboration between energy and computing sectors to achieve sustainability goals by 2030 [1][8]. Green Electricity Consumption - Current green electricity consumption in domestic computing power centers is low, with significant growth potential to reach the national average consumption level of 40% by 2030 [1][8]. - Bloomberg New Energy Finance predicts that the demand for green electricity in domestic computing power centers will reach 72 TWh by 2026 [1][8]. Energy Infrastructure Development - The Dazhong Park of Qineng Technology features a 300 MW wind power, 200 MW solar power, and a 50 MW/100 MWh energy storage station, with a planned IT capacity of 1000 MW [3]. - The park aims to achieve grid connection for green electricity by 2024, reflecting the shift from real estate-driven growth to energy-driven development in the computing industry [3][4]. Policy and Market Dynamics - The National Development and Reform Commission and the National Energy Administration have issued guidelines to promote the synergy between renewable energy and computing facilities [3]. - The core customers for green electricity consumption include steel, chemical, and computing centers, with the latter showing stable electricity usage and significant growth potential [4]. Global and Domestic Energy Trends - The International Energy Agency reports that global data center electricity consumption is expected to rise from 415 TWh in 2024 to 945 TWh by 2030, with China and the U.S. contributing nearly 80% of the increase [6]. - By 2030, China's data center electricity load is projected to reach 100 million kW, with annual consumption rising to between 400 TWh and 600 TWh, increasing its share of national electricity consumption from under 2% to 6% [6]. Green Electricity Connection Models - There are three main methods for green electricity consumption: direct connection, green microgrids, and power purchase agreements [9]. - The direct connection model allows renewable energy sources to supply electricity directly to users, bypassing the public grid, which is encouraged by recent government policies [9]. Regional Development Initiatives - Various provinces are launching plans for green electricity parks, with Shanxi Province planning to establish 13 pilot parks across multiple cities [10]. - The selection of sites for green electricity parks is critical, with proximity to renewable energy sources being a key factor for economic viability [12]. Cost Management Strategies - The "green electricity direct connection" model faces high initial investment costs, requiring infrastructure such as solar and wind farms, substations, and backup power systems [16]. - Companies are focusing on lifecycle cost management and vertical integration to optimize resource development and reduce costs [16][17].

Core Insights - The article emphasizes the importance of digital technologies such as big data and artificial intelligence in driving economic and social development, particularly in the context of China's "14th Five-Year Plan" [1] - Yunnan Province aims to establish Kunming as an international communication hub and digital industry center, leveraging its advantages in low latency and high stability [1][3] Group 1: Economic Development - Chenggong District has set a goal to become a "Modern Science and Education Innovation City," focusing on digital economy and infrastructure development, which has led to a significant economic transformation [3][4] - In 2024, Chenggong's GDP reached 71.9 billion, marking a year-on-year growth of 7.9%, the highest in Kunming, with industrial output increasing by 34.1% [4][5] - The digital economy's revenue surged from 1.256 billion to 8.432 billion, with its share of total revenue rising from 3.8% to 20.2% [7] Group 2: Infrastructure Development - The region is focusing on building a regional international computing power industry cluster, with significant investments in computing infrastructure [8] - The Kunming Wanxichong Intelligent Computing Industry Park has been established, featuring 19,300 square meters of data center space and a computing power capacity of 2,935P [8][9] - Key projects include the Yunnan Provincial Information Center and China Mobile's data center, which will enhance the region's computing capabilities and support the "East Data West Computing" strategy [9][11] Group 3: Industry Ecosystem - Chenggong is transitioning from industry aggregation to ecosystem construction, aiming to create a collaborative environment for the digital economy [12] - The district is leveraging its educational resources to support data labeling and AI model development, with partnerships between universities and enterprises [12][13] - The establishment of a data labeling demonstration zone aims to attract talent and companies, enhancing local capabilities in data processing and AI applications [13] Group 4: Future Outlook - Chenggong is positioned to become a key player in the digital economy, with plans to support digital exports to South and Southeast Asia [14][15] - The district's strategic initiatives are expected to contribute significantly to the national digital economy, aligning with China's modernization goals [17]

Group 1 - The core viewpoint is that since 2025, both Chinese and American technology stocks have performed remarkably, with the computing power sector leading the market in growth [1] - The outlook for 2026 indicates that domestic computing power is on the rise, showing both performance elasticity and investment certainty, potentially replicating the long bull market seen in U.S. stocks since 2023 [1] - There are expected localized explosive opportunities in models and applications, particularly in AI-enabled internet technology giants and rapidly commercializing AI applications such as AI advertising, AI agents, AI video generation, and automated driving [1]

Core Insights - The "14th Five-Year Plan" emphasizes computing power as a core element of productivity in the digital economy, aiming to achieve the world's largest computing power scale by 2030 [1] - The "East Data West Computing" project has established a comprehensive computing power network covering eight national hub nodes and ten data center clusters, with the "super node" architecture emerging as a key technology for enhancing computing efficiency [1][2] Industry Trends - The demand for AI model training is growing exponentially, leading to a bottleneck in traditional data center architectures, with China's data centers consuming over 2% of the total electricity [2] - The "East Data West Computing" initiative aims to create a national integrated computing power network, focusing on efficient scheduling and green low-carbon operations [2] Technological Developments - The super node technology, characterized by high-density cabinet design and integration of heterogeneous computing resources, achieves a Power Usage Effectiveness (PUE) of below 1.05, significantly improving energy efficiency [2][3] - Super nodes have demonstrated a 40% increase in AI training efficiency and a 35% reduction in total ownership costs during tests at Alibaba Cloud's Zhangbei Super Data Center [3] Global Landscape - The global computing power infrastructure investment is expected to exceed $520 billion by 2025, with a year-on-year growth of 55% [4] - The U.S. maintains a lead through a "business-led + government-enabled" model, while China is rapidly advancing in intelligent computing and regional hub layouts under national strategies [4] Structural Challenges - The computing power industry faces structural issues such as supply-demand mismatches, high costs, and energy consumption pressures [4] - The existing challenges include an imbalance between supply and demand in eastern and western regions, and inefficiencies in resource utilization due to a lack of hardware-software synergy [4] Opportunities and Innovations - Liquid cooling technologies are gaining traction as a solution to the high energy consumption of computing facilities, potentially lowering PUE to very low levels [5] - Super nodes enhance effective computing resource utilization by over 50%, addressing the issue of idle computing resources in traditional clusters [6] Ecosystem Transformation - The strategic significance of super node technology extends beyond mere technical innovation, facilitating the pooling and service-oriented transformation of computing resources [7] - The first commercial intelligent computing super node was launched in May, significantly improving model training efficiency and performance [7] Future Prospects - The super node architecture supports the "East Data West Training" model, connecting real-time computing needs in the east with storage-type resources in the west through low-latency networks [8] - As computing power becomes a new productivity driver, super nodes are expected to evolve towards nanosecond latency and exabyte-level computing capabilities, forming the foundation for general artificial intelligence [8]

Core Insights - The ChinaSC 2025 conference focused on the theme of "Intelligent Computing, Large Models, New Economy," discussing the technological trends and policy directions in China's computing power development [1] - The event gathered leading experts and scholars to explore the future of computing power and its integration with various industries, emphasizing the importance of collaboration for high-quality development [2] Industry Trends - The conference highlighted the accelerating global reshaping of computing power, with AI entering a new phase of "large models + deep industry coupling," positioning computing power as a core engine for driving the digital economy [4] - The integration of supercomputing and intelligent computing, termed "super-intelligent fusion," is becoming a focal point, indicating a shift from supporting AI to AI improving supercomputing capabilities [4][5] Key Reports and Rankings - Major reports released include the "2025 China AI Computing Open Architecture Research Report" and the "2025 China Computing Power Application Classic Cases," showcasing significant industry achievements and trends [3][12] - The "2025 China High-Performance Computing TOP100 Ranking" was presented, with Lenovo, Inspur, and Sugon leading the list, reflecting the ongoing advancements in computing power services [13][19] Innovations and Collaborations - The conference featured discussions on the development of the "Nine Source Unified Intelligent Computing Platform," aimed at addressing the complexities of intelligent computing software ecosystems [5][6] - Collaborative efforts were emphasized, such as the partnership between Oriental Geophysical and Huawei to enhance the GeoEast software platform, showcasing the importance of innovation in the energy exploration sector [7] Recognition and Awards - The event recognized outstanding companies and applications in the computing power sector, with awards for "2025 China Computing Power Leading Enterprises" and "Classic Application Cases," highlighting successful implementations across various industries [16][19] - Lenovo's significant presence in the TOP100 list, with 34 supercomputers, underscores its leadership in the high-performance computing market [19]

Group 1 - Alibaba Group is building large-scale AI infrastructure and increasing investment to create a super AI cloud [1] - Ant Group has deployed a domestic computing power cluster at the scale of ten thousand cards, achieving over 98% stability in training task performance [1] - Minsheng Securities believes that super nodes are expected to become mainstream technology under cluster expansion, enhancing the domestic computing power ecosystem [1] Group 2 - The industry is focusing on building ultra-high bandwidth and ultra-low latency ScaleUp networks to connect multiple XPU high-speed interconnections into super nodes [2] - Huaxi Securities suggests that regardless of future restrictions on overseas computing power chip sales to China, domestic computing power development will remain a key focus of policy support [2] Group 3 - Zhongke Shuguang has launched the world's first 640-card single-machine super node, which can support trillion-parameter large model training and improve performance by 30%-40% compared to traditional solutions [3] - Qihua Data is constructing high-end GPU computing server clusters and expanding its data storage business into the AI server field [3]

Core Insights - The "Digital Yangtze River Delta Development Report (2025)" was released at the 2025 Digital Yangtze River Delta Development Conference, highlighting the region's leadership in various digital sectors [1][2] - The Yangtze River Delta is recognized as one of China's most dynamic economic regions, excelling in generative artificial intelligence, integrated circuits, and biological computing [1] - The region's industrial internet platform scale is expanding, with computing power accounting for nearly 30% of the national total, indicating a new growth driver for integrated development [1] Economic Indicators - In 2024, the Yangtze River Delta is expected to lead China in 20 key indicators, including internet broadband access user rate and newly registered digital economy enterprises [1] - The region ranks second in 10 indicators, such as the number of new online education platform enterprises and the prevalence of digital job-seeking [1] Local Development - Jiaxing, the host city of the conference, has established Zhejiang Province's first "ten thousand card" computing power cluster, leading in intelligent computing scale and operational computing power [1] - The "Wuzhen Light" supercomputing center has become Zhejiang's first national supercomputing center, while the Pinghu Runze center is the largest single high-performance computing center in the Yangtze River Delta [1]

Core Insights - The eighth China International Import Expo (CIIE) showcased a significant focus on AI computing power, highlighting advancements in technology and its integration with real business scenarios [1] - The global computing power industry is experiencing rapid growth, with many international companies presenting their latest products at the expo, indicating strong confidence in the industry's future [1] Group 1: AI Computing Power Developments - Dell emphasized the importance of its intelligent computing infrastructure solutions, which support key scenarios such as intelligent training, edge computing, and smart manufacturing [1] - AMD introduced a mini AI workstation designed for small and medium enterprises, capable of local deployment of large models for data analysis and decision-making [2] - The global trend in computing power products is shifting from "performance-first" to "efficiency-first," promoting high-density, low-power, and modular designs [2] Group 2: Liquid Cooling Technology - Several companies showcased AI data center liquid cooling products, with Schneider Electric presenting a comprehensive solution for various AI computing scenarios [3] - Johnson Controls launched a new high-efficiency liquid cooling product aimed at the North American data center market, reflecting the growing demand for liquid cooling solutions [3] - Zhengheng Technology introduced a fully immersed liquid cooling solution featuring NVIDIA RTX 4090 GPUs and Intel Xeon Platinum CPUs, utilizing an environmentally friendly cooling liquid [3]

Group 1 - Qinghai Turing Town officially launched in Xining as a key green computing project in Qinghai Province, representing the province's commitment to developing the green computing industry [1] - The project is developed by H3C Group and aims to create an AI innovation community that integrates government, enterprises, innovation, and applications [1] - Qinghai's abundant water, solar, and wind resources provide a strong foundation for the development of clean energy and computing industries, with the province ranking fifth in water resources and second in solar radiation in China [1] Group 2 - Qinghai has implemented policies to transform its resource advantages into a clean energy development framework, with a focus on hydropower and large-scale clean energy bases [3] - As of September, Qinghai's clean energy installed capacity reached 72.52 million kilowatts, accounting for 93.8% of the province's total power capacity, with both installed capacity and generation exceeding 90% [3] - The computing industry in Qinghai is characterized as an eco-friendly industry with high energy capacity and near-zero emissions, which can help address green electricity consumption challenges and support AI and advanced manufacturing sectors [3] Group 3 - China Unicom's Sanjiangyuan National Big Data Base has invested 2.6 billion yuan, with a current computing capacity of 9,000 P, expected to reach 13,000 P by the end of the year [5] - The data center operates with high energy efficiency, achieving a Power Usage Effectiveness (PUE) below 1.2, which is 40% lower than the national average [5] - The Sanjiangyuan green electricity intelligent computing microgrid project integrates renewable energy sources with computing infrastructure, achieving 100% green electricity consumption and zero carbon emissions [5] Group 4 - As of September, Qinghai has built approximately 190,000 standard racks, with computing capacity increasing nearly 40 times in one year [5] - The province's green computing investment constitutes 40% of the fixed asset investment in the industrial park, with over 80% of computing projects powered by green electricity [5] - The establishment of a clean energy and green computing dispatch center has enabled real-time monitoring of energy generation and carbon emissions across the province [5]