Market Overview - The A-share market saw all major indices close higher today, with the Shanghai Composite Index up 0.05% at 4134.02 points, the Shenzhen Component Index up 0.86% at 14283.00 points, the Sci-Tech 50 Index up 1.78% at 1480.99 points, and the ChiNext Index up 1.32% at 3328.06 points [1][12] - Overall, there were 2107 stocks that rose and 3273 stocks that fell, with a total trading volume of 21,417 billion yuan, an increase of 1,575 billion yuan compared to the previous trading day [1][12] Industry Performance - Among the Shenwan first-level industries, the top gainers included the comprehensive sector (up 5.31%), electronics (up 1.73%), electric equipment (up 1.65%), and computers (up 1.58%). The sectors that saw the largest declines were beauty care (down 1.77%), retail (down 1.57%), textiles and apparel (down 1.49%), and agriculture, forestry, animal husbandry, and fishery (down 1.49%) [1][12] Concept Sector Performance - The leading concept sectors today included optical modules (CPO), optical chips, optical communications, AI computing power, IDC (computing power leasing), ultra-high voltage, GPU, selected rare metals, fiberglass, cloud computing, DeepSeek, liquid-cooled servers, East Data West Computing, Huakun Zhenyu, and charging piles [2]

高盛分析师预计，英伟达2025财年第四季度营收将达到673亿美元，同时在盈利端也将超出市场预期。 多项催化因素有望推动英伟达股价走高，并据此给出250美元的目标价，较2月6日收盘价仍有约35%的 上涨空间。分析师预计，Rubin GPU将在2026年第三季度开始出货，第四季度及以后显著放量，并支撑 公司至少到2028年的强劲增长。 ...

以下文章来源于清科研究 ，作者创造价值的 清科研究 . 清科研究中心致力于为众多的有限合伙人、VC/PE机构、战略投资者、以及政府机构、律师事务所、会计事务所、投资银行、研究机构等提供专业的信 息、数据、研究和咨询服务。 回暖复苏。 作者 / 清科研究 来源 / 清科研究 （ID：pedata2017） 2 0 2 5年中国股权投资市场募投退全方位回暖。 募资方面，2 0 2 5年新募集基金 数量和规模分别为5 , 0 3 9只，1 . 6 5万亿元，同比分别上升2 6 . 6 %、1 4 . 1 % ，政府投资基金、地方国资 平台、险资、AIC等出资人活跃出资，成为推动募资市场回暖的核心力量。币种结构上，人民币基金主导地位进一步提升，募资规模 同比上升1 6 . 1 %；外币基金募资延续下滑态势，全年仅3 3只外币基金完成新一轮募集，募集规模超3 5 0亿元，同比分别下滑1 5 . 4 %、 3 6 . 0 %。 投资方面，2 0 2 5年投资案例数和金额分别为1 0 , 7 9 5起、9 , 2 8 7 . 1 6亿元，同比上升2 8 . 4 %、4 5 . 6 %。分行业看，硬科技仍是投资主流 领 域 ...

Fundraising - In 2025, the number and scale of newly raised funds in China's equity investment market reached 5,039 and 1.65 trillion yuan, representing year-on-year increases of 26.6% and 14.1% respectively [1] - Government investment funds, local state-owned platforms, insurance capital, and AIC have become the core driving forces behind the recovery of the fundraising market [1] - The dominance of RMB funds has further increased, with a year-on-year growth of 16.1%, while foreign currency funds continued to decline, with only 33 foreign currency funds completing new rounds of fundraising, totaling over 35 billion yuan, down 15.4% and 36.0% year-on-year [1] Investment - In 2025, the number and amount of investment cases reached 10,795 and 928.716 billion yuan, showing year-on-year increases of 28.4% and 45.6% respectively [1] - Hard technology remains the mainstream investment sector, with investment case numbers in IT, semiconductors, biotechnology/healthcare, and machinery manufacturing all exceeding 1,500 [1] - High interest is noted in sub-sectors such as AI, embodied intelligence, GPU, innovative drugs, smart manufacturing, and new energy/new materials [1] - The popularity of investment strategies such as mergers and acquisitions, cornerstone investments, and public offerings has also significantly increased [1] Exits - The number of exit cases in 2025 saw a significant increase, totaling 5,211, which is a year-on-year rise of 41.0% [2] - Nearly 2,000 IPO cases were recorded, marking a year-on-year increase of 46.8% [2] - The number of merger and acquisition exit cases reached 468, reflecting a year-on-year increase of 77.3% [2]

Group 1: Key Insights on Popular Concepts - The PEEK Materials Index, Machine Vision Index, and High Transfer Expectation Index have the highest institutional participation rates, with the PEEK Materials Index reaching its highest level in nearly 20 weeks at 9.07% [8][17] - The GPU Index, ASIC Chip Index, and Semiconductor Equipment Index show the highest growth rates in institutional participation, while the Aviation Transport Selected Index, Huawei Harmony Index, and Influenza Index have seen the largest declines in institutional participation [14][17] - The Gold and Jewelry Index, Rare Earth Permanent Magnet Index, and Aviation Transport Selected Index exhibit significant divergence between individual and institutional participation, with a notable decrease in individual participation in the Gold and Jewelry Index on January 30, 2026 [17] Group 2: Industry Participation Insights - The Mechanical, Electronic, and Light Industry Manufacturing sectors have the highest institutional participation rates, while the Oil and Petrochemical, Transportation, and Pharmaceutical sectors have seen the largest declines in participation [2][21] - The Electronic, Building Materials, and Basic Chemical sectors show the highest growth rates in institutional participation, contrasting with the declines in Oil and Petrochemical, Transportation, and Pharmaceutical sectors [23][22] - The Oil and Petrochemical, Coal, and Media sectors have the highest levels of divergence between individual and institutional participation [25]

Core Viewpoint - Baidu's Kunlun Chip has submitted an application for a Hong Kong IPO, while Alibaba is considering a spin-off IPO for Pingtouge [2][47]. Group 1: Company Overview - Shanghai Suiruan Technology Co., Ltd. (Suiruan Technology) has had its IPO application accepted on the Sci-Tech Innovation Board, aiming to raise 6 billion yuan [3][48]. - Suiruan Technology is the last of the "four domestic GPU leaders" to pursue an IPO, following the listings of Moer Thread, Muxi Co., and Biran Technology [3][48]. - The company focuses on cloud AI training and inference, with primary revenue derived from AI accelerator cards and modules, but faces challenges such as heavy R&D spending, ongoing losses, and reliance on a single major customer [3][48]. Group 2: Financial Performance - Over the past four years, Suiruan Technology has accumulated losses exceeding 5.1 billion yuan, with R&D expenditures consistently surpassing 160% of revenue [4][14]. - Revenue figures for Suiruan Technology from 2022 to the first three quarters of 2025 are 0.90 billion yuan, 3.01 billion yuan, 7.22 billion yuan, and 5.40 billion yuan, respectively, with net profits of -1.12 billion yuan, -1.67 billion yuan, -1.51 billion yuan, and -0.89 billion yuan [14][60]. - The company’s R&D investment totaled 4.42 billion yuan, accounting for nearly 270% of cumulative revenue of approximately 1.65 billion yuan [15][61]. Group 3: Market Position and Competition - The AI chip market is currently dominated by Nvidia, which holds a 70% market share, while Huawei's Ascend leads among domestic manufacturers with 64,000 units shipped [24][30]. - Domestic AI chip manufacturers are divided into two camps: the "revolutionary faction," which includes Suiruan Technology, and the "compatible faction," which aims to reduce customer migration costs by aligning with Nvidia's CUDA ecosystem [29][49]. - Suiruan Technology's main products include cloud AI chips, AI accelerator cards, and intelligent computing systems, which are designed to provide robust AI computing power [6][51]. Group 4: Customer Dependency - Suiruan Technology's revenue has significantly increased due to its relationship with Tencent, which has become its primary customer, accounting for 71.84% of revenue by the third quarter of 2025 [18][67]. - The company has seen its inventory grow year-on-year, with figures of 3.11 billion yuan, 2.61 billion yuan, 9.79 billion yuan, and 11.48 billion yuan at the end of each reporting period [22][68]. Group 5: Future Outlook - The company anticipates reaching a breakeven point by 2026, contingent on sales volume and product delivery progress [17][63]. - The ongoing IPO wave in the semiconductor industry includes 30 companies entering the A-share IPO process in 2025, with a total fundraising target of nearly 100 billion yuan [40][41].

Core Viewpoint - Shanghai Suyuan Technology Co., Ltd. has received acceptance for its IPO on the Sci-Tech Innovation Board, marking the first IPO acceptance in A-shares for 2026 [1] Group 1: IPO Details - The company plans to raise 6 billion yuan through its public offering, with CITIC Securities as the sponsor [3][4] - The funds will be used for the research and development of fifth and sixth generation AI chip series, business expansion, and supply chain security [4][5] Group 2: Company Background - Founded in March 2018, Suyuan Technology is the earliest established and latest IPO company among the "Four Little Dragons" of domestic GPUs [3][12] - The company has developed four generations of cloud AI chips and has become a leading enterprise in China's cloud AI chip market [6][7] Group 3: Financial Performance - From 2022 to the first three quarters of 2025, the company reported revenues of 90.1 million yuan, 301 million yuan, 722 million yuan, and 540 million yuan, with a compound annual growth rate of 183.15% [9] - The company has incurred net losses of 1.116 billion yuan, 1.665 billion yuan, 1.51 billion yuan, and 888 million yuan during the same period [9] Group 4: Market Position and Technology - As of September 2025, the company held 262 domestic invention patents and participated in over 10 national and local technology projects [10] - The company has a market share of approximately 1.4% in China's AI accelerator card market, ranking among the top domestic AI chip manufacturers [9] Group 5: Competitive Landscape - The global AI chip market is dominated by NVIDIA, which holds about 76% market share in AI accelerator cards as of 2024 [13] - The "Four Little Dragons" of domestic GPUs, including Suyuan Technology, are focusing on different aspects of GPU development, with Suyuan emphasizing cloud AI training and inference products [12][13] Group 6: Future Prospects - The company aims to become a leader in general artificial intelligence infrastructure, focusing on original innovation and sustainable development [6] - Suyuan Technology's products have been widely commercialized in various internet AI scenarios, supporting the transition from traditional AI models to large-scale AI models [14]

Summary of Conference Call Notes Industry and Company Involved - The discussion revolves around the demand for CPUs driven by the increasing number of Agents in AI systems, focusing on the implications for CPU usage and performance in AI applications. Core Points and Arguments - **Increased Demand for CPUs**: The rise in the number of Agents significantly increases the demand for CPUs, as each Agent requires substantial computational resources for data processing and logical scheduling [1][4] - **Virtual Machine Technology Changes**: Current AI clusters emphasize hardware resource binding, requiring virtual machines to start within 1 second and maintain a resident state, which escalates the need for high-performance CPUs [1][5] - **CPU Load Factors**: The core factors affecting CPU load include the duration and frequency of tasks. Long-duration tasks (2-4 hours) have a more significant impact on CPU load compared to short, frequent tasks [1][6] - **Memory Management Needs**: The development of large models necessitates more CPUs for memory scheduling, particularly with DRAM and SSD storage, which involves complex data communication [2][15] - **Agent Task Complexity**: AG tasks impose a heavy load on CPUs, with token consumption during processing being significantly higher than user input, leading to increased computational demands [1][11] - **Future CPU Usage Growth**: CPU usage growth is expected to be between linear and exponential, potentially doubling or quadrupling in the next few years, depending on the complexity of long-term tasks [2][12] - **Deepseek and Anagram Technologies**: These technologies enhance computational efficiency by offloading some calculations to CPUs, reducing GPU burden and improving query efficiency [1][10] - **CPU vs. GPU**: While CPUs can support smaller language models, GPUs remain essential for complex tasks in AI servers, indicating that CPUs are not a complete substitute for GPUs in high-demand scenarios [2][12][18] - **Agent Support by CPU Cores**: A single CPU core can support 2-5 Agents, but this number decreases for complex tasks, highlighting the need for more cores to handle increased workloads [2][13] - **Market Supply and Alternatives**: Despite the tight supply of CPUs, established vendors like Intel and AMD maintain a competitive edge due to their stable ecosystems, while newer architectures are still in development [2][22] Other Important but Potentially Overlooked Content - **Impact of High Concurrency**: In high-concurrency situations, even optimized simple tasks can place significant demands on CPUs, especially during peak usage times [2][19] - **Challenges in Performance Optimization**: As user scale increases, the effectiveness of CPU performance optimizations may diminish, with potential performance gains dropping during peak usage [2][20] - **General Computing vs. AI Servers**: General computing servers focus on storage integration, while AI servers prioritize GPU capabilities, indicating a divergence in design and application [2][21] - **Future Trends in General Computing Servers**: The maturity of general computing servers suggests a continued reliance on established platforms like Intel and AMD, particularly in cloud technology [2][23]

Core Viewpoint - Moore Threads, known as the "Chinese version of Nvidia," is experiencing significant growth in revenue driven by the booming AI industry and strong demand for high-performance GPUs, despite still facing net losses in the upcoming years [1][2]. Group 1: Financial Performance - Moore Threads reported a stock price of 628.6 CNY per share and a total market capitalization of approximately 295.5 billion CNY as of January 22 [1]. - The company forecasts its 2025 annual revenue to be between 1.45 billion CNY and 1.52 billion CNY, representing a year-on-year growth of 230.70% to 246.67% [1]. - The expected net loss for 2025 is projected to be between 950 million CNY and 1.06 billion CNY, with a reduction in loss compared to the previous year by 34.50% to 41.30% [1][3]. Group 2: Business Segments - The primary revenue sources for Moore Threads are AI computing, professional graphics acceleration, desktop graphics acceleration, and SoC-related businesses, with AI computing products becoming the main revenue pillar [3]. - In 2024 and the first half of 2025, the revenue share from AI computing products is expected to reach 77.63% and 94.85%, respectively, driven by demand for large model training and GPU cloud services [3]. Group 3: Market Position and Growth Potential - The global GPU market is projected to reach 36,119.74 billion CNY by 2029, with China's GPU market expected to grow to 13,635.78 billion CNY, increasing its market share from 30.8% in 2024 to 37.8% in 2029 [2]. - Moore Threads has successfully launched its flagship MTT S5000 GPU, achieving market-leading performance and has begun large-scale production [4]. - The company aims to achieve profitability at the consolidated level by 2027, contingent on successful R&D and market expansion [3].

对于此次业绩的表现，摩尔线程在公告中表示，得益于人工智能产业蓬勃发展及市场对高性能GPU的强劲需求，公司 以AI训推一体智算卡MTT S5000为代表的产品竞争优势进一步扩大，市场关注与认可度持续提升，推动收入与毛利增 长，整体亏损幅度同比收窄。 根据摩尔线程2025年业绩预告的数据，其营业收入将连续四年保持高增态势，同时，净亏损亦将连续四年实现收窄。 业绩层面的持续增长，反映的是摩尔线程核心竞争力的不断提升带来的商业化提速。 不可否认的是，GPU行业具有行业壁垒高、重研发投入、研发周期长等特征，其发展需跨越芯片设计、软件适配、应 用场景落地等诸多考验，对企业全栈研发能力要求极高。为突破挑战，摩尔线程选择从底层架构、核心工具链到软件 生态进行全流程自主设计，从零构建一套完整、通用、可持续演进的GPU体系。依托MUSA架构的统一性与先进性， 摩尔线程确立了国内稀缺的"AI+图形"双轮驱动定位，成为极少数同时深耕B端与C端的全功能GPU厂商，构筑了难以 复制的差异化竞争优势。 预计2025年营收、毛利实现大幅增长。 本文为IPO早知道原创 据IPO早知道消息，摩尔线程智能科技（北京）股份有限公司（证券代码：688 ...