Core Insights - The Tianjin Binhai High-tech Zone reported a revenue growth of 11.6% year-on-year for its five major industries last year, with a focus on developing two trillion-yuan industrial clusters in the fields of trusted computing and platform economy services [1] Industry Overview - The five major industries in the high-tech zone include trusted computing, new economic services, biomedicine, new energy, and high-end equipment manufacturing, with trusted computing and new economic services achieving double-digit revenue growth last year [1] - The high-tech zone is also prioritizing cutting-edge fields such as core chips, brain-computer interaction, and cell and gene therapy, becoming one of the first four future industry pilot zones in Tianjin [1] Company Developments - Zhongke Shuguang has established an annual production capacity of one million high-end servers and terminal products in the high-tech zone, positioning it as a hub for digital and intelligent technology [1] - The company plans to collaborate with upstream and downstream enterprises, universities, and research institutions to build a comprehensive innovation system covering core components, complete systems, software ecosystems, and application services [1] Future Plans - Over the next five years, the high-tech zone aims to upgrade its leading industries and accelerate the construction of a modern industrial system, targeting the establishment of two trillion-yuan industrial clusters [1] - This year, the zone aims to launch one landmark project and 16 high-quality projects to attract premium projects and strengthen the industrial chain [1]

Core Insights - The article highlights the launch of the scaleX 30,000-card supercluster by Zhongke Shuguang, marking the establishment of the largest domestic AI computing power pool in China, which supports advanced AI computing scenarios such as trillion-parameter model training and AI for Science [1][5]. Group 1: Technological Breakthrough - The scaleX supercluster was deployed in less than two months after its first appearance at the HAIC conference in December 2025, showcasing China's rapid integration capabilities in large-scale intelligent computing systems [2]. - Zhongke Shuguang overcame several key technical challenges, including high-speed interconnection, tight coupling design of storage and computing, and efficient resource scheduling, through systematic innovation [4]. Group 2: Practical Value - The scaleX supercluster has demonstrated its application value across various fields, including supporting trillion-parameter model training and enhancing inference efficiency for major internet companies [5]. - It has also contributed to significant advancements in scientific research, such as improving protein research efficiency by 3 to 6 orders of magnitude for top domestic research teams [5]. Group 3: Regional Empowerment - The simultaneous deployment of three superclusters is expected to significantly impact regional development, particularly in Zhengzhou, enhancing its capabilities in computing power and digital infrastructure [6]. - The establishment of this core node is anticipated to elevate Zhengzhou's development level and strengthen its role in computing power scheduling and multi-domain applications [6].

Core Viewpoint - The article highlights the launch of the scaleX 30,000-card supercluster by Zhongke Shuguang, marking a significant advancement in domestic AI computing power, supporting large-scale model training and high-throughput inference, and promoting a new phase of accessible and user-friendly intelligent computing [1][6]. Technological Breakthrough - The scaleX supercluster transitioned from demonstration to deployment in less than two months, showcasing China's rapid integration capabilities in large-scale intelligent computing systems [2]. - Zhongke Shuguang overcame key technical challenges such as high-speed interconnection, tight coupling of storage and computing, and efficient resource scheduling through systematic innovation [4]. Practical Value - The scaleX supercluster has demonstrated its application value across various fields, including training trillion-parameter models and enhancing inference efficiency for major internet companies [6]. - It has supported significant advancements in scientific research, such as improving protein research efficiency by 3-6 orders of magnitude, and has completed optimization for over 400 mainstream models [6]. Regional Empowerment - The deployment of three superclusters not only provides core computing support but also has a profound impact on regional development, particularly in Zhengzhou, enhancing its capabilities in computing resource scheduling and digital construction [8]. - The establishment of this core node is expected to elevate Zhengzhou's development and strengthen its role in various applications, contributing to a complete and innovative industrial ecosystem [8].

Group 1 - The National Bureau of Statistics held four symposiums to gather opinions from industry experts and company representatives on advancing the construction of Digital China [1] - Experts and representatives from major companies such as Huawei, Tencent, Alibaba, and Baidu participated, discussing the challenges and trends in the industry during the 14th Five-Year Plan period [1] - There was a consensus among participants that the planning is systematic and leading, effectively addressing social concerns and enhancing development confidence [1]

Investment Rating - The industry investment rating is "Overweight" [1] Core Insights - Alibaba's Qwen3-Max-Thinking model has achieved significant improvements in various key dimensions, including factual knowledge, complex reasoning, instruction adherence, human preference alignment, and agent capabilities, performing comparably to top models like GPT-5.2-Thinking and Claude-Opus-4.5 in 19 authoritative benchmark tests [3][12] - The model features over one trillion parameters and enhances the native agent capabilities for autonomous tool invocation, significantly reducing hallucinations and laying the groundwork for solving real complex tasks [5][12] - The release of Clawdbot marks a new phase in the development of intelligent agents, allowing users to interact through messaging apps and execute commands via local scripts, thus transitioning from "AI providing suggestions" to "AI taking direct actions" [4][13] Summary by Sections 1. Computer Industry Insights - On January 26, Alibaba released the flagship reasoning model Qwen3-Max-Thinking, which has shown significant enhancements across multiple key performance metrics [12] - The model's core innovations include adaptive tool invocation capabilities and test-time scaling technology, which significantly boosts reasoning performance [12][14] 2. Market Performance Review - The computer industry index fell by 4.77%, underperforming the Shanghai Composite Index by 4.33 percentage points, while the year-to-date performance shows a 6.94% increase [16][17] - The computer sector ranked 28th among 31 industry indices this week, indicating a challenging market environment [16] 3. Technology Software Industry News - The "Smart Computing" initiative in Shanghai aims to enhance the AI infrastructure, with a focus on building a complete industrial chain covering chips, optical communication, and servers [23] - The launch of the "Star Computing" plan by a commercial aerospace company aims to create a space-based computing network to support AI agents with low-latency and high-reliability services [24] 4. Company Dynamics - Companies like Cambricon, Inspur, and Alibaba are highlighted as key players in the AI industry chain, suggesting investment opportunities in these firms [5][14] - Recent stock option and incentive plans from various companies indicate a focus on retaining talent and driving growth in the tech sector [35][36]

Core Insights - The article highlights the successful deployment of three sets of scaleX supercomputing clusters by Zhongke Shuguang, marking the first domestic implementation of over 30,000 cards in an AI computing pool in China [1][12]. Group 1: Deployment and Significance - The scaleX supercomputing cluster was first showcased at the HAIC conference in December last year and became operational within two months, demonstrating rapid advancement in domestic AI computing capabilities [3][14]. - This deployment signifies a critical transition from merely constructing infrastructure to actively utilizing it, representing a substantial leap for domestic supercomputing clusters [4][14]. Group 2: Demand and Evolution - The demand for computing power has surged as AI model parameters have escalated from billions to trillions, necessitating a shift in architecture to meet these requirements [5][15]. - Industry forecasts predict that by 2025, China's demand for intelligent computing power will increase nearly 20 times compared to 2020, with sustained high growth expected in the following years [6][16]. Group 3: Technological Advancements - The scaleX supercomputing cluster not only achieves a significant scale increase but also makes systematic breakthroughs in system architecture, energy efficiency management, and resource scheduling, pushing domestic AI computing into a new phase of quality and quantity [6][16]. - The cluster is designed based on an open architecture that fully supports mainstream software ecosystems like CUDA, facilitating mixed deployment of various domestic acceleration cards and lowering the adaptation threshold for developers [10][19]. Group 4: Application and Impact - The scaleX supercomputing cluster provides deep empowerment across multiple scenarios, including support for trillion-parameter model training, high-throughput inference for major internet companies, and advancements in AI for scientific research [11][20]. - It significantly enhances research efficiency in fields such as materials science, achieving improvements in protein research efficiency by 3 to 6 orders of magnitude [11][20]. Group 5: Future Outlook - The ongoing construction of the national supercomputing internet and the integration of computing power scheduling mechanisms are gradually establishing a self-controlled, open, and efficient AI computing system in China [12][20]. - The successful deployment of the scaleX supercomputing clusters is expected to leverage national-level computing hubs to provide high-quality AI computing services globally [12][20].

Core Insights - The National Supercomputing Internet Core Node has launched in Zhengzhou, marking the first operational deployment of a 30,000-card domestic AI computing pool in China [1] - The scaleX 10,000-card super cluster is a significant advancement in AI computing, achieving a 20-fold increase in cabinet-level computing density and a 30% to 40% performance improvement for MoE trillion-parameter model training and inference [1][2] - The scaleX640 super node, which supports multi-brand acceleration cards and is compatible with mainstream computing ecosystems, aims to lower the R&D threshold for AI clusters and avoid redundant investments [2] Technological Advancements - The scaleX640 super node features an "open architecture" that enhances communication speed and reduces latency, enabling the formation of thousand-card computing units [1][2] - The supercomputing pool supports various large-scale AI computing scenarios, including trillion-parameter model training, high-throughput inference, and AI for Science applications, significantly improving research efficiency in fields like protein studies [2] Future Developments - The company plans to establish an Advanced Computing Technology Research Institute in Zhengzhou, with a 160,000 square meter R&D space and an initial goal of gathering 1,000 researchers focused on AI and high-performance computing applications [3]

Core Viewpoint - The domestic intelligent computing infrastructure is crossing a critical watershed, marking a significant advancement in the deployment and operationalization of large-scale AI computing clusters in China [1][5]. Group 1: Scale of Deployment - The first domestic AI computing pool with a deployment of 30,000 cards has officially formed, representing the largest operational domestic AI computing pool [3][5]. - The transition from single-point breakthroughs to large-scale deployment indicates a maturity in engineering capabilities for domestic supercomputing clusters [5][9]. Group 2: System Engineering Capabilities - The competition in the large-scale computing cluster market has shifted from merely achieving high card counts to focusing on system-level collaboration, including network, storage, cooling, power supply, and operational optimization [8][9]. - Key capabilities such as controllable cycles, reproducible performance, fault localization, and cost accounting are essential for long-term players in the market [8][12]. Group 3: Real-World Application - The true test for large-scale computing clusters lies in their ability to convert computing power into real business productivity, moving beyond mere demonstrations to practical applications [14][15]. - Successful large-scale applications require open compatibility, making it easier for users to adapt and integrate into existing systems [17][19]. Group 4: Public Infrastructure - The perception of large-scale computing clusters is evolving from being exclusive to large corporations to becoming public infrastructure, serving various sectors such as manufacturing, energy, transportation, research, education, healthcare, and finance [20]. Group 5: Performance in Various Scenarios - The scaleX computing cluster demonstrates its value across three dimensions: stability in large model training, practical service capabilities in high-throughput inference, and accelerated scientific discovery in AI for Science applications [23][26]. - The cluster has successfully supported over 400 mainstream models and thousands of applications, showcasing its ability to integrate with the AI industry ecosystem [21][26]. Group 6: Future Outlook - The release of three scaleX computing clusters signals that merely stacking computing power is no longer the core competitive advantage; future winners must ensure that these clusters continuously deliver value in real-world business applications [27][28].

Core Insights - The National Supercomputing Internet Core Node has launched in Zhengzhou, marking the first operational deployment of a 30,000-card domestic AI computing pool in China [1] - The scaleX 10,000-card supercluster has achieved a significant milestone in AI computing, with a 20-fold increase in cabinet-level computing density and a 30% to 40% performance improvement for MoE trillion-parameter model training and inference scenarios [1][2] - The scaleX640 super node, which supports multi-brand acceleration cards and is compatible with mainstream computing ecosystems, aims to lower the R&D threshold for AI clusters and avoid redundant investments [2] Technological Advancements - The scaleX640 super node features an "open architecture" that enhances high-bandwidth, low-latency communication domains, enabling the formation of thousand-card computing units [1][2] - The supercomputing pool supports various large-scale AI computing scenarios, including trillion-parameter model training, high-throughput inference, and AI for Science applications, significantly improving research efficiency in fields like protein studies [2] Future Plans - The company plans to establish an Advanced Computing Technology Research Institute in Zhengzhou, with a 160,000 square meter R&D space and an initial goal of gathering 1,000 researchers focused on AI and high-performance computing applications [3] - The company aims to deepen technology research and application practices to provide more efficient, stable, and inclusive domestic intelligent computing services across various sectors of economic and social development [3]

Group 1 - The China Securities Information Technology Application Innovation Industry Index decreased by 0.05% as of February 6, 2026, with mixed performance among constituent stocks [1] - Geer Software led the gains with an increase of 8.45%, while ZTE Information fell by 2.81%, indicating volatility in the sector [1] - The Xinchuang ETF (562570) experienced a decline of 0.27%, with the latest price at 1.47 yuan [1] Group 2 - The Xinchuang ETF saw a significant growth in scale, increasing by 24.46 million yuan over the past week, leading its peers [2] - The ETF has recorded continuous net inflows over the past four days, with a peak single-day net inflow of 30.01 million yuan, totaling 52.30 million yuan and an average daily net inflow of 13.08 million yuan [1] - Financial analysts believe that the rapid iteration of domestic models is capturing user AI interaction points, which is expected to accelerate the demand for reasoning-side computing power [2] Group 3 - 2026 is projected to be a pivotal year for the deployment of domestic super nodes, with numerous domestic manufacturers releasing next-generation super node solutions [2] - The Xinchuang ETF closely tracks the China Securities Xinchuang Index, emphasizing domestic full-stack replacement and integrating key components such as storage chips, CPUs, and AIPC [2] - The ETF is currently the largest in its category, reflecting strong policy certainty and a comprehensive approach from hardware to industry intelligence [2]