Investment Rating - The report maintains a "Buy" rating for the company, expecting a price increase of over 15% in the next 6-12 months [5][13]. Core Insights - The company achieved a revenue of 4.962 billion RMB in the first three quarters of 2025, representing a year-on-year growth of 4.62%. The net profit attributable to shareholders was 270 million RMB, up 16.33% year-on-year. In Q3 2025 alone, revenue reached 1.917 billion RMB, marking a 22.0% increase year-on-year and a 14.1% increase quarter-on-quarter. The net profit for Q3 was 108 million RMB, showing an impressive year-on-year growth of 85.28% and a quarter-on-quarter increase of 11.44% [3][4]. Revenue and Profit Analysis - The growth in revenue and profit is primarily driven by the demand for high-speed communication connectors, supported by core clients' investments in high-speed network infrastructure and AI computing needs. The gross margin for Q3 2025 was 19.5%, slightly down by 0.45 percentage points year-on-year and 0.08 percentage points quarter-on-quarter, mainly due to the impact of the solar bracket business. The company has improved its cost control, leading to a decrease in sales, management, and R&D expense ratios, which has positively impacted net profit growth [4]. Market Position and Client Relationships - The company has established strong relationships with top-tier clients, including Huawei and Alibaba, as they accelerate the penetration of ultra-node products. The ultra-node architecture enhances computing cluster performance, which increases the demand for connectors. The company has over 30 years of experience in the connector industry, securing long-term partnerships with high-quality clients, which solidifies its market position [4]. Financial Forecast - The company is projected to achieve revenues of 7.118 billion RMB, 8.720 billion RMB, and 10.535 billion RMB for the years 2025, 2026, and 2027, respectively. The net profit attributable to shareholders is expected to be 402 million RMB, 445 million RMB, and 534 million RMB for the same years, with corresponding P/E ratios of 23, 21, and 17 [5][10].

文 | 时间线Timelines 地缘政治在 AI 算力领域的持续投射，正在中美两个都在努力保持各自技术领先优势的 AI 大国之间， 进一步造成无可逃避的市场分化，甚至是割裂。 这种割裂，已经让 AI 算力巨头英伟达感受到压力。 就在 10 月 6 日，英伟达 CEO 黄仁勋在纽约出席美国城堡证券主板的活动时，明确强调：英伟达在中国 的市场份额已经从 95% 降到了 0%。他表示： 目前，我们 100% 退出了中国市场。无法想象任何决策者会认为这是一个好主意，即我们（美国）实施 的政策导致美国失去了世界上最大的市场之一，降到了 0。 但是，对于中国本土的 AI 算力发展来说，英伟达份额降到 0，反而意味着巨大的市场机遇，以及飞速 增长的空间。 | | | | Personal Production Comparent Comparent Comparent Compares of Contraction Compares of Concession Comparison of Concession Comparent of Concessione of Construction of Construc 11 ...

Group 1: Semiconductor Market Performance - The Shanghai Stock Exchange's Sci-Tech Innovation Board semiconductor materials and equipment index decreased by 3.76% as of October 10, 2025 [1] - Major component stocks such as SMIC, Hu Silicon Industry, and Tianyue Advanced saw declines of 6.77%, 6.45%, and 6.23% respectively [1] - The Sci-Tech Semiconductor ETF (588170) fell by 3.91%, with a latest price of 1.5 yuan [1] Group 2: ETF Liquidity and Scale - The Sci-Tech Semiconductor ETF (588170) recorded a turnover rate of 23.71% during trading, with a transaction volume of 651 million yuan, indicating active market participation [1] - The latest scale of the Sci-Tech Semiconductor ETF reached 2.809 billion yuan, marking a new high since its inception [1] - Over the past two weeks, the ETF's shares increased by 23.4 million shares, demonstrating significant growth [1] Group 3: Fund Flows - The latest net outflow for the Sci-Tech Semiconductor ETF (588170) was 66.055 million yuan [1] - In the last four trading days, there were net inflows on three days, totaling 979 million yuan, with an average daily net inflow of 245 million yuan [1] Group 4: AI Server Developments - Alibaba Cloud launched the Panjiu 128 ultra-node AI server, which integrates self-developed CIPU 2.0 chips and high-performance network cards, improving inference performance by 50% compared to traditional architectures [2] - Huawei reported selling over 300 units of its CloudMatrix 384 ultra-node, primarily serving government and enterprise clients [2] - Huawei plans to release the Atlas 950 SuperPoD ultra-node with a computing scale of 8192 cards by Q4 2026, and the Atlas 960 SuperPoD with 15488 cards by Q4 2027 [2] Group 5: Semiconductor Equipment and Material Insights - Huatai Securities noted that the bottleneck in computing chip production lies in advanced manufacturing capacity, which is constrained by yield cultivation and core equipment supply, particularly photolithography machines [3] - As of Q3 2025, over 500 advanced packaging stepper photolithography machines have been delivered, with a global market share of 35% and a domestic market share of 90% [3] - The ongoing technological breakthroughs in photolithography and other core equipment are expected to gradually achieve self-sufficiency, alleviating equipment constraints for downstream advanced foundries [3] Group 6: Semiconductor ETF Focus - The Semiconductor Materials ETF (562590) and its associated funds focus on semiconductor equipment (59%) and materials (24%), emphasizing the upstream semiconductor sector [4]

Core Insights - Chinese AI startups are rapidly capturing global market share with innovative products like smart recording devices and AI toys, while also expanding into overseas markets with technologies like Robotaxi [1][4]. Industry Overview - The efficiency of China's manufacturing supply chain, rapid AI iteration, and keen product awareness are driving competitive advantages for domestic companies [2][6]. - The AI hardware sector is experiencing a wave of innovation, with companies like Plaud.AI achieving significant sales milestones and funding rounds for AI toy startups [3][5]. Market Dynamics - The emergence of AI hardware is not just a product innovation race but a transformation of the industrial paradigm, shifting from "cost-effectiveness" to "intelligence" [5][7]. - Chinese companies are leveraging their technological capabilities to redefine standards in new hardware, moving beyond simple manufacturing to creating advanced solutions [4][6]. Technological Advancements - The integration of AI and manufacturing is leading to a new generation of AI hardware products, supported by a robust domestic supply chain that enhances product development speed and market responsiveness [6][7]. - The domestic AI chip industry is witnessing significant growth, with several companies preparing for IPOs and reporting substantial business orders, indicating a shift from experimental products to commercially viable solutions [8][11]. Ecosystem Collaboration - The collaboration among various stakeholders in the AI ecosystem is crucial for overcoming challenges in computing power and establishing a unified architecture for AI applications [14][16]. - Companies are focusing on building open systems and protocols to enhance interoperability and efficiency in AI computing, which is essential for scaling operations [15][16]. Future Outlook - The convergence of capital investment and technological breakthroughs is expected to solidify China's position in the global AI landscape, transitioning from a follower to a leader in AI innovation [17][18].

Group 1 - The core viewpoint of the news highlights the strong performance of the AI sector in the Chinese stock market, particularly the rise of the Sci-Tech Innovation Board AI Index and its constituent stocks [1][2] - The Sci-Tech Innovation AI ETF (Hua Xia, 589010) has seen a significant increase, with a recent price of 1.61 yuan, marking a three-day consecutive rise [1] - The trading activity of the Sci-Tech Innovation AI ETF is robust, with a turnover rate of 12.78% and a transaction volume of 97.15 million yuan, indicating active market participation [1] Group 2 - Alibaba Cloud recently launched the Panjiu 128 ultra-node AI server, which integrates self-developed CIPU 2.0 chips and high-performance network cards, achieving a 50% improvement in inference performance compared to traditional architectures [2] - Huawei announced the sale of over 300 units of its CloudMatrix 384 ultra-node, primarily serving government and enterprise clients, with future products expected to significantly increase computing power [2] - Guosen Securities emphasizes the ongoing strong demand for AI infrastructure, driven by major investments from tech giants like OpenAI and NVIDIA, indicating a high growth certainty in AI computing power as a key investment theme [2]

Core Insights - Huawei's "Super Node + Cluster" strategy represents a critical response to external pressures and aims to establish a robust AI computing infrastructure in China [2][12][25] - The company emphasizes that AI competition fundamentally revolves around computing power, which is essential for advancing artificial intelligence capabilities [3][4] Group 1: Technological Innovations - The "Super Node" concept integrates multiple computing cards and machines into a single logical unit, enhancing overall efficiency and resource utilization [4][6] - Huawei's Atlas 950 and Atlas 960 SuperNodes support 8192 and 15488 Ascend cards respectively, significantly outperforming Nvidia's upcoming NVL144 in terms of scale and computing power [9][11] - The Lingqu interconnect protocol facilitates the collaboration of numerous computing resources, enabling a more efficient and scalable AI computing environment [13][15] Group 2: Strategic Positioning - Huawei's approach to AI computing is driven by the need to overcome limitations in semiconductor manufacturing due to sanctions, focusing on system architecture innovations [6][7] - The company aims to create a self-sufficient AI ecosystem that does not rely on Western technologies, addressing concerns over supply chain vulnerabilities [22][25] - Huawei's commitment to open-source initiatives is intended to foster collaboration within the industry, allowing for broader access to AI capabilities [19][20] Group 3: Market Implications - The deployment of AI computing resources through cloud platforms allows small and medium enterprises to access advanced AI models, democratizing AI technology across various sectors [23] - Huawei's long-term vision includes building a comprehensive AI ecosystem that supports sustainable growth and innovation within the Chinese AI industry [17][25] - The anticipated release of the Atlas 960 SuperNode and the Ascend 970 chip by 2028 is expected to enhance China's competitive position in the global AI landscape [25][26]

Core Viewpoint - Computing power is the engine of the digital economy, becoming a core resource in the intelligent transformation of society, especially with the rise of AI models [1] Group 1: Current State of Computing Power in China - As of June 2023, China's total number of operational computing power centers reached 10.85 million standard racks, with intelligent computing power at 788 EFlops, ranking among the top globally [1] - The rapid iteration of AI raises concerns about insufficient computing power [1] Group 2: Huawei's Strategy - Huawei is adopting a differentiated path by constructing a new computing supply system based on "super nodes + clusters" to address the increasing demand for computing power and external limitations in chip manufacturing [2] - The "super node" concept integrates computing chip resources to create a low-latency, high-bandwidth computing entity, enhancing computing efficiency for training and inference of large models [2] - Huawei's latest super node products, Atlas 950 SuperPoD and Atlas 960 SuperPoD, support 8,192 and 15,488 Ascend cards respectively, with the computing power scale of the new clusters exceeding 500,000 and reaching 1 million cards [3] Group 3: Future Outlook and Innovations - Huawei aims to innovate systematically with the "super node + cluster" approach, providing sustainable and scalable computing power for China's AI development [3] - The company plans to advance its computing capabilities at a pace of nearly one generation per year, doubling the computing power each time [3] - Huawei has introduced the UnifiedBus protocol to overcome technical bottlenecks in large-scale super node interconnection, promoting an open ecosystem for computing power [5][6] Group 4: Open Source and Ecosystem Development - Huawei is committed to open-sourcing its Ascend hardware to accelerate developer innovation and build a robust ecosystem [6] - The trend towards open-source technology is seen as essential for the construction of a computing ecosystem, with significant implications for reducing computing costs and fostering comprehensive system innovation [6][7] - Recent government policies are aimed at strengthening the open-source landscape, providing a supportive environment for the development of the computing ecosystem in China [7]

Group 1 - MoE Thread's IPO has been approved, taking only 88 days from application to approval, the shortest time for new companies on the Sci-Tech Innovation Board this year [1] - The company is one of the earliest and fastest domestic GPU companies to commercialize, with AI computing products projected to account for 77.6% and 94.9% of revenue in the first half of 2024 and 2025 respectively [1] - The funds raised will be used for the development of next-generation AI training and inference chips, graphics chips, and AISoC chips, as well as to supplement working capital [1] Group 2 - According to Guotai Junan, this represents a substantial advancement for domestic full-function GPU manufacturers in the capital market, with expectations for accelerated R&D investment and ecosystem development [1] - The focus of competition in the domestic computing power supply side is shifting towards interconnect optimization, with future directions including achieving high bandwidth interconnects at lower costs and higher energy efficiency systems [1] - Jiangsu Securities notes that the semiconductor sector's valuation has significantly recovered due to the AI market, with demand for computing chips driving growth along the supply chain [2] Group 3 - Yingqu Technology holds 134,037.4 shares of MoE Thread, accounting for 0.3351% of its pre-issue total share capital, and is actively developing brain-computer interface technology [3] - Maolai Optics provides optical devices for lithography machines, which are essential for achieving light uniformity and exposure imaging [3]

Core Insights - The next major opportunity in AI lies within "new infrastructure for computing power" as highlighted by the recent measures from the National Development and Reform Commission and other departments [1][3] - The demand for AI large models and intelligent computing centers is expected to drive a high growth cycle in computing power infrastructure, with a significant leap in the industry chain scale projected by Q4 2025 [1][3] Industry Developments - Computing power has become a fundamental resource for societal operations, supporting technologies from facial recognition to autonomous driving [3] - A 1% increase in the computing power index can lead to a 0.33% growth in the digital economy and a 0.18% increase in GDP [3] - Major global tech companies are intensifying investments in computing power infrastructure, with Alibaba planning to invest 380 billion yuan in AI infrastructure over the next three years, marking the highest investment record in China's private sector for AI infrastructure [3][4] - Huawei has launched the world's strongest computing power supernodes and clusters, with Atlas 950 and 960 SuperPoD products leading in key metrics [4][5] - OpenAI, along with SoftBank and Oracle, announced a plan to invest $500 billion over four years to build data centers and supercomputing clusters in the U.S. [5] Market Performance - As of September 26, there are 319 listed companies in the computing power concept sector in A-shares, with 91 companies seeing stock price increases of over 50% this year, and 34 companies achieving a doubling of their stock prices [6][7] - Companies like Pingzhi Information have transitioned to computing power services, signing contracts worth over 2.2 billion yuan for computing power services [8] - Bohui Co., Ltd. has accelerated its transformation, establishing a subsidiary focused on liquid cooling management systems for intelligent computing centers [8][9]

Group 1: Industry Overview - The global AI industry is undergoing a significant restructuring focused on ecosystem integration, highlighted by major investments and partnerships such as NVIDIA's $5 billion stake in Intel and OpenAI's $300 billion computing order with Oracle [2] - The transactions illustrate a clear layout of the US AI industry chain, emphasizing a closed-loop construction of "chip-computing model-application" through vertical integration [2] Group 2: Huawei's Strategic Positioning - Huawei's recent announcements at the 2025 Global Connectivity Conference are seen as a high-profile return after years of uncertainty due to sanctions, showcasing its advanced AI computing capabilities with new Ascend chips and supernodes [4] - Huawei has developed a non-linear competitive path to world-class AI computing by leveraging its strengths in system engineering and connectivity technology, shifting focus from single-chip performance to overall system performance [5] Group 3: Importance of Computing Power - Computing power is now recognized as a critical strategic resource for national economic futures, serving as the core infrastructure and "engine" of the AI era, essential for digital economic growth and the transformation of traditional industries [6] - The demand for intelligent computing is growing exponentially, outpacing general computing, and is becoming a key indicator of a country's digital economic development [6] Group 4: Challenges and Innovations - Huawei faces significant structural challenges in achieving AI leadership, particularly due to sanctions limiting access to advanced semiconductor processes, resulting in a performance gap compared to NVIDIA [6][7] - In response to these challenges, Huawei has proposed a new architecture focused on system engineering capabilities, emphasizing the importance of data communication efficiency among multiple processors rather than just single-chip performance [8] Group 5: Hardware Developments - Huawei has introduced specific hardware products like the Atlas 950 SuperPoD and Atlas 960 SuperPoD, capable of supporting thousands of Ascend cards, designed to function as a cohesive computing unit [9] - These supernodes can be combined into larger clusters, with the Atlas 950 SuperCluster exceeding 500,000 cards and the Atlas 960 SuperCluster reaching over one million cards, creating a highly integrated and low-latency computing environment [11] Group 6: Ecosystem Development - The success of Huawei's hardware relies on building a robust software ecosystem, with a clear business model that encourages open-source development to lower barriers for developers and partners [12] - Huawei aims to foster a self-sustaining AI ecosystem by addressing the inertia of developers accustomed to existing platforms, calling for collective efforts within the industry to overcome early migration challenges [13] Group 7: Strategic Implications - The focus of Huawei's strategy has shifted from general digital transformation to reconstructing and leading AI computing infrastructure, marking a fundamental change in strategic priorities [15] - If successful, Huawei's strategy could lead to a bifurcation in the global AI infrastructure market, challenging the dominance of NVIDIA and creating a new competitive landscape centered around Huawei and its Ascend ecosystem [16]