Core Viewpoint - Zhongke Shuguang (603019.SH) reported stable growth in its performance for 2025, with revenue reaching 14.97 billion yuan, a year-on-year increase of 13.86%, and a net profit attributable to shareholders of 2.113 billion yuan, up 10.54% year-on-year [1][2]. Financial Performance - The company achieved a net profit of approximately 966 million yuan in the first three quarters of 2025, with the fourth quarter net profit estimated at 1.147 billion yuan, representing a quarter-on-quarter increase of 384% [2]. - The net profit for 2025 is expected to be impacted by asset impairment provisions totaling approximately 329 million yuan, which will reduce the consolidated net profit by about 269 million yuan [3]. AI Sector Development - Zhongke Shuguang has been actively investing in the AI sector, recently integrating major AI models into its SothisAI platform and simplifying the construction and operation processes of enterprise AI platforms [1][7]. - The company launched the first domestic AI computing open architecture and introduced a "thousand-card-level unit" super node in collaboration with over 20 industry chain enterprises [7]. Financial Health - As of September 30, 2025, Zhongke Shuguang reported cash and cash equivalents of 3.841 billion yuan, with short-term borrowings and current liabilities of 229 million yuan and 276 million yuan, respectively [8]. - The total assets of the company amounted to 36.99 billion yuan, with total liabilities of 15.04 billion yuan, resulting in a debt-to-asset ratio of 40.7% [8]. Strategic Initiatives - The company plans to raise up to 8 billion yuan through convertible bonds to fund projects related to advanced computing clusters for AI, next-generation high-performance AI training and inference machines, and domestic advanced storage systems [8].

Core Insights - The core point of the article is the launch of the national supercomputing internet core node in Zhengzhou, which utilizes the scaleX WanKa super cluster provided by Inspur (中科曙光) to offer over 30,000 AI acceleration cards, marking a significant advancement in domestic computing infrastructure [1][4]. Group 1: Infrastructure Development - The launch of the core node validates the engineering capabilities of domestic computing infrastructure, transitioning from early single-point breakthroughs to large-scale deployment [1]. - The scaleX WanKa super cluster is a product of the "AI Computing Open Architecture" strategy proposed by Inspur, emphasizing collaboration and decoupling among various industry players [4][5]. - The system incorporates advanced technologies such as ultra-high-density blades and immersion phase change cooling, increasing computing density by 20 times and reducing Power Usage Effectiveness (PUE) to 1.04 [4]. Group 2: Market Needs and Compatibility - The market demands efficient, secure, and stable intelligent computing infrastructure, which is essential for the advancement of the AI industry [3]. - The system's open architecture allows for heterogeneous deployment of different brands of domestic acceleration cards and compatibility with mainstream computing ecosystems like CUDA, facilitating broader developer access [5][6]. - This compatibility reduces the barriers for developers and provides users with more choices, aligning with the goal of integrating computing power into industrial workflows [6]. Group 3: Performance and Applications - The WanKa super cluster supports the training and fault recovery of trillion-parameter models, enhancing inference efficiency for major internet companies [7]. - It has contributed to significant advancements in AI for Science, helping domestic material research models achieve top rankings and improving protein research efficiency by 3 to 6 orders of magnitude [7][8]. - The integration of computing power, data, and application scenarios is crucial for transforming technology into a driving force for economic development [8]. Group 4: Future Outlook - Looking ahead to 2026, the intelligent wave is expected to drive the computing industry into a new development cycle, with Inspur committed to an open technological route [8][9]. - The company aims to focus on innovation across the entire value chain, addressing the challenges of heterogeneous computing power and enhancing resource utilization efficiency [9].

Core Insights - The launch of the national supercomputing internet core node in Zhengzhou marks a significant advancement in domestic computing infrastructure, capable of providing over 30,000 AI acceleration cards [2] - The AI industry has seen a dramatic increase in computational demands, with model parameters growing from millions to trillions, leading to exponential growth in computational requirements [3] - The domestic computing industry has faced structural contradictions, with high demand for stable computing power on one side and severe fragmentation on the supply side [4] Industry Challenges - Different manufacturers have developed their own hardware designs, software stacks, and interconnection protocols, leading to a closed technology route that complicates resource scheduling and increases user migration costs [5] - The market requires efficient, secure, and stable intelligent computing infrastructure [6] Strategic Direction - In 2025, the company proposed an "AI Computing Open Architecture" strategy focused on division of labor and collaboration [7] - The scaleX supercluster launched in Zhengzhou is a product of this strategy, overcoming various technical challenges such as hardware-software optimization and high-density integration [8] Technological Innovations - The scaleX supercluster utilizes ultra-high-density blade technology and immersion phase change cooling, increasing computing density by 20 times and reducing Power Usage Effectiveness (PUE) to 1.04 [8] - The system supports heterogeneous deployment of different brands of domestic acceleration cards and is compatible with mainstream computing ecosystems like CUDA, achieving optimization for over 400 major models [9] Application and Impact - The supercluster can support the training and fault tolerance of trillion-parameter models, enhancing the efficiency of core intelligent business operations for leading internet companies [10][11] - It has significantly improved research efficiency in fields like materials science and protein research, demonstrating the potential of integrated computing, data, and application scenarios to drive economic development [11][12] Future Outlook - The company aims to continue promoting an open, efficient, and secure direction for domestic intelligent computing infrastructure, focusing on innovation across the entire supply chain [13][15] - The emphasis will be on solving the adaptation challenges of heterogeneous computing power and enhancing resource utilization efficiency [13]

Core Viewpoint - The development of domestic AI computing power is crucial for the evolution of large AI models, with the recent establishment of a significant domestic AI computing pool marking a historical convergence in this field [1][3]. Group 1: Domestic AI Computing Power - The recent "National AI Computing Power Pool" in Zhengzhou has become the largest domestic AI computing pool with a deployment of 30,000 cards, operational as of February 5 [1]. - The demand for large AI models is driving the evolution of domestic computing power towards "ten-thousand card" level computing clusters, as AI models with trillions of parameters are becoming the new standard [3][4]. Group 2: Growth of Large Models - By December 2025, the number of large models registered with China's National Cyberspace Administration is expected to reach 748, with many models exceeding the trillion-parameter scale [4]. - The scaleX ten-thousand card super cluster has been deployed for training trillion-parameter models and high-throughput inference, indicating a significant advancement in AI computing capabilities [4]. Group 3: Challenges and Innovations - Despite the growth of domestic computing power, challenges remain, such as the late start of domestic AI chips compared to NVIDIA GPUs and the need for additional adaptation for open-source models [5]. - The current computing ecosystem is fragmented, with barriers between intelligent computing centers, which limits the performance of domestic computing infrastructure in heterogeneous environments [5]. Group 4: Collaborative Innovation - A consensus is forming around an open collaborative approach in the AI industry, with stakeholders from model vendors and computing infrastructure providers working together on a joint initiative for "domestic large computing power + domestic large models" [6]. - The concept of "open collaboration" is becoming a central theme in the evolution of AI computing in China, potentially leading to a restructuring of competitive rules in the industry [7].

从这笔资金的投向，或可"管窥"当前的算力市场正在发生什 么。 作者：郑晨烨 封图：图虫创意 2月9日晚间，超算龙头中科曙光（603019.SH）披露《向不特定对象发行可转换公司债券预 案》，拟募集资金总额不超过80亿元。 从这笔资金的投向，或可"管窥"当前的算力市场正在发生什么。 80亿元资金投向 根据预案，本次募集资金在扣除发行费用后，将用于三个核心项目：面向人工智能的先进算力集群 系统项目（拟投入35亿元）、下一代高性能AI训推一体机项目（拟投入25亿元），以及国产化先 进存储系统项目（拟投入20亿元）。 其中，拟投入资金最多的是"面向人工智能的先进算力集群系统项目"，占总募资额的43.75%。 那么，这笔资金具体将投向何处？2月5日在郑州上线的国家超算互联网核心节点提供了一个具体 的参照。 经济观察报记者在采访中了解到，该核心节点上线的3套scaleX万卡超集群由中科曙光提供，是目 前接入国家超算互联网的最大单体国产AI算力资源池。该集群可全面覆盖万亿参数模型训练、高通 量推理以及AI for Science（科学智能）等大规模场景。 从该节点的情况看，在高密度计算环境下，除了芯片本身的支出之外，冷却、 ...

Core Viewpoint - The leading supercomputer company, Zhongke Shuguang, plans to raise up to 8 billion yuan through a convertible bond issuance to invest in advanced computing projects, reflecting significant changes in the computing power market [2][3]. Funding Allocation - The raised funds will be allocated to three main projects: - 3.5 billion yuan for an advanced computing cluster system project focused on artificial intelligence, accounting for 43.75% of the total funds [4]. - 2.5 billion yuan for the next-generation high-performance AI training and inference machine project [4]. - 2 billion yuan for a domestic advanced storage system project [4]. Market Trends - The investment in the next-generation AI training and inference machine project indicates a shift in the computing power market from pure model training to inference applications [8]. - Industry insiders suggest that the competition for user traffic in the domestic large model market is intensifying, which will reshape AI interaction modes and drive explosive growth in inference-side computing power demand [9]. Technological Challenges - The advanced computing cluster system project will address complex engineering challenges, including cooling and power supply in high-density computing environments, which require interdisciplinary knowledge [5][6]. - The project has achieved a 20-fold increase in computing density through innovative designs, emphasizing the need for a systematic approach to tackle technical challenges [6]. Company Performance - In the first three quarters of 2025, Zhongke Shuguang reported a revenue of 8.82 billion yuan, a year-on-year increase of 9.68%, and a net profit of 966 million yuan, up 25.55% year-on-year [11].

Core Insights - Zhengzhou has become a strategic hub for AI computing infrastructure in China with the launch of the first domestic AI computing pool featuring 30,000 AI acceleration cards [1][12] - The deployment of the scaleX supercluster systems marks a significant milestone in the evolution of national supercomputing infrastructure, facilitating AI innovation and ecosystem empowerment [1][12] Infrastructure Development - The transition to the AI era necessitates a profound transformation in infrastructure, driven by explosive growth in demand for AI models and applications [3][14] - The national supercomputing internet aims to create a leading national-level computing facility and service platform, akin to an e-commerce marketplace for computing resources [5][16] Technical Specifications - The scaleX supercluster can provide over 30,000 AI cards for various applications, including AI model training and high-throughput inference [6][16] - The system features advanced technologies such as high-density blade servers and immersion cooling, achieving a power usage effectiveness (PUE) of 1.04 and a 20-fold increase in computing density [7][16] Innovation and Ecosystem - The scaleX supercluster represents a comprehensive innovation in system architecture and engineering, having been operationally deployed just two months after its initial reveal [8][17] - The open architecture of the scaleX supercluster supports compatibility with mainstream software ecosystems and mixed deployments of various AI acceleration cards, fostering collaboration and innovation across the AI industry [10][19] Future Implications - The open architecture approach is expected to lower barriers for users, stimulate innovation, and enable widespread application of AI across various sectors [10][19] - The deployment of the scaleX supercluster is a clear expression of China's path in developing AI infrastructure, balancing self-innovation with openness and inclusivity [12][20]

Core Insights - The launch of the national supercomputing internet core node marks a significant milestone in the deployment and practical application of domestic AI computing resources, alleviating the imbalance between supply and demand in computing power [1][2][5] - The core node is part of a major infrastructure initiative aimed at creating a leading national computing infrastructure and service platform to support various fields, including artificial intelligence and digital economy [2][5] - The deployment of the core node, supported by three sets of "Wanka" supercluster systems from Sugon, can provide over 30,000 domestic AI accelerator cards, facilitating large-scale AI computing applications [2][6] Industry Context - The increasing demand for AI-driven innovations has highlighted the shortage of computing resources, which has become a critical bottleneck for industry upgrades [2][8] - The national supercomputing internet aims to address issues such as resource underutilization and inefficiencies in computing resource allocation, enhancing the overall efficiency of computing power distribution [2][5] - The project is expected to create a nationwide integrated computing network, connecting over 30 backbone computing centers and offering nearly 70 types of domestic super-intelligent computing services [5][8] Technological Advancements - Sugon's "Wanka" supercluster systems have achieved significant innovations in performance and efficiency, enabling the support of trillion-parameter AI models and various application scenarios [6][7] - The core node's architecture is designed to be compatible with mainstream software ecosystems, allowing for mixed deployment of various domestic accelerator cards [7] - The supercomputing internet platform is evolving into a marketplace for computing applications, aiming to lower the barriers to access and enhance usability for a wide range of users [8][9] Application and Impact - The core node has already served over 1 million users and processed nearly 196 million jobs, significantly reducing computing costs and facilitating AI innovation [8][9] - The platform is actively engaging with various industries to promote the integration of AI computing resources, with initiatives like the invitation for testing plans to attract diverse applications [9][12] - The first batch of application validation results has been released, showcasing the potential of the supercomputing internet to empower various sectors and drive innovation [12]

在业内看来，郑州有地理区位优势，东数西算的8大算力枢纽和10大算力中心集中在东西部，而身处在 版图中央的郑州在网络时延和算力集散方面具有先天优势，能够承接东部算力需求外溢和西部绿色算力 的联动，充当全国算力中转分发的枢纽。 而且，河南作为农业、工业以及人口大省，自身的数据资源丰富，工业门类齐全，尤其在电子信息、算 力、新能源、新材料等方面的基础雄厚，省内自身的算力需求也很旺盛。而河南的传统产业升级，战略 性新兴产业培养，黄河生态保护战略等都需要顶尖算力的支撑。 超算互联网作为国家战略，从2023年开始启动建设。其核心思路是以互联网的思维运营超算，通过建立 类似京东、淘宝模式的应用商城，连接供需双方，目的是推动国产应用和大模型的普及，推升算力流通 和利用效率，推动算力服务市场化和标准化。 在业内看来，此次核心节点的接入，标志着国家超算互联网的建设取得了实质性突破，为建设贯穿东西 覆盖全国的一体化算力网络，迈出了至关重要的一步。 郑州发力，启用国内最大单体国产AI算力池 2月5日，算力圈传来一则重磅消息，位于郑州的国家超算互联网核心节点上线试运行。该节点从启动建 设到落地部署仅用两年多时间，一举成为国家超算互联网 ...

中国 央行等八部门：未经相关部门同意，境内主体及其控制境外主体不得在境外发行虚拟货币。证监会：明确备案监管要求，六类情形禁止开展业 务。 国常会：加力提效用好中央预算内投资、超长期特别国债、地方政府专项债券等资金和新型政策性金融工具。 华见早安之声 市场概述 美国消费者信心创六个月新高，逢低买入推动美股反弹，标普涨近2%，创去年5月以来最佳单日涨幅，道指首次突破5万点，罗素2000大涨3.6%。黄仁勋称 AI需求极度高涨，英伟达大涨7%，芯片股指飙升5.7%。软件ETF反弹3.5%。亚马逊绩后跌5.6%、但较昨日盘后跌幅收窄。 美债收益率全线走高，10年期上行近3基点，2年期收益率涨5.54基点。美元日内跌0.3%，但全周收涨0.56%、两周连涨。 在经历了周四的崩盘后，加密货币周五暴力反弹，收复前一日大部分跌幅。比特币价格飙升11%，重回7万美元。以太坊大涨11%，站上2000美元。 金银走V反转。芝商所提保后，白银一度重挫10%，随后较日低飙升20%。现货黄金最终收涨近4%。油价小幅收涨。 亚洲时段，A股三大股指震荡收跌，化工集体拉升掀涨停潮，恒指、恒科指均跌超1%，阿里跌近3%，沪银暴跌15%。 要闻 ...