按发行后总股本4.7亿股计算，摩尔线程的发行市值将达到537.15亿元。 而"求中签"许愿的背后，自然也是因为中签之后的预计收益非常惊人。 "求中签"刷爆评论区，新闻变成了许愿树…这种在科技圈少见的景象，只因四个字：摩尔线程。 根据安排，摩尔线程在 11 月 24日正式登录科创板，并启动申购。摩尔线程的发行价为114.28元/股，共发行7000万股新股，占发行后总股本的 14.89%。 虽然单个配号中签率只有0.036%，但顶格申购可获22个配号。不少网友、机构都乐观预测，若开盘涨幅达200%，股价约343元，单签利润约11.4万元；若 涨幅达 400%，股价能到571.4元，单签利润就能达到恐怖的 22.86 万元。 摩尔线程是谁？这家土生土长的国产 GPU 厂商，最熟悉他们的一定是游戏玩家。 2022 年，摩尔线程用一款游戏显卡引爆 PC 硬件圈。MTT S80，一款号称性能可以对标英伟达 RTX 3060的国产显卡横空出世。 那时正值显卡疯狂加价的"大挖矿"时代，不少人都指望这张显卡、摩尔线程能给加价卖卡的老黄迎头痛击，成为"国产英伟达"，缓解国内游戏玩家"无显 卡可买"的窘况。 经过了三年的打怪升级， ...

Core Viewpoint - Moer Thread, known as the "first domestic GPU stock," has launched its IPO on the Sci-Tech Innovation Board with a record issuance price of 114.28 yuan per share, raising 8 billion yuan, and achieving a staggering offline subscription multiple of 1571 times, indicating strong market enthusiasm [1][5]. Group 1: Company Overview - Moer Thread was established on June 11, 2020, by Zhang Jianzhong, a former NVIDIA executive with 15 years of experience [3]. - The core team has a strong "NVIDIA gene," with co-founders having extensive backgrounds at NVIDIA, including roles in marketing and GPU architecture [3]. - The company has developed the MUSA architecture, focusing on a full-function GPU route, covering both graphics and AI fields [3]. Group 2: Financial Performance - Moer Thread's revenue has shown explosive growth, increasing from 46 million yuan in 2022 to a projected 1.24 billion yuan in 2024, with a compound annual growth rate of 208.44% [5]. - In the first half of 2025, the company reported revenue of 702 million yuan, surpassing the total revenue of the previous three years [5]. - Despite high growth, the company has incurred significant losses, with net profits of -1.84 billion yuan in 2022, -1.67 billion yuan in 2023, and -1.49 billion yuan in 2024 [5][6]. Group 3: Market Position and Competition - The Chinese GPU market is projected to grow from 142.54 billion yuan in 2024 to 1,336.79 billion yuan by 2029, with an annual growth rate of 53.7% [16]. - Moer Thread's strategy contrasts with that of Cambricon, which focuses on ASIC chips for specific applications, while Moer Thread aims for a versatile platform targeting various markets [9][12]. - Both companies have demonstrated compatibility with domestic large models, indicating their capability to adapt to cutting-edge AI applications [9]. Group 4: Challenges and Ecosystem - Building a robust developer ecosystem is a significant challenge for Moer Thread, as NVIDIA's CUDA ecosystem dominates the market [12]. - Moer Thread has introduced the MUSA architecture to lower migration costs for enterprises and attract developers to its ecosystem [12]. - The company faces risks such as high R&D costs, potential inclusion on the U.S. entity list, and a lack of profitability, with expectations of achieving profitability by 2027 [16].

Core Viewpoint - The company Moer Technology is set to launch its IPO on the Sci-Tech Innovation Board, aiming to raise 8 billion yuan with a share price of 114.28 yuan, marking a new high for IPO prices in 2023 [1] Company Overview - Moer Technology was established on June 11, 2020, with a registered capital of approximately 400 million yuan, focusing on the research, design, and sales of GPUs and related products [2] - The founder and CEO, Zhang Jianzhong, has nearly 20 years of experience in the GPU industry, previously serving as NVIDIA's global vice president and general manager for China [2] IPO Details - The IPO will issue 70 million shares, with a total fundraising target of 8 billion yuan, and a net amount expected to be 7.576 billion yuan after deducting issuance costs [1] - As of November 19, 2025, the company received preliminary inquiries from 286 offline investors, with a total subscription amount reaching approximately 70.406 billion shares [1] Product Development and Market Position - The company has developed four generations of GPU architectures, covering various fields such as AI computing, cloud computing, and high-performance computing [8] - The MTT S80 graphics card is claimed to have performance comparable to NVIDIA's RTX 3060, although the company acknowledges the need for further improvements in technology and product performance [4][6] Financial Performance - The company has not yet achieved profitability, with cumulative losses exceeding 1.4 billion yuan as of mid-2025 [9] - Revenue projections show significant growth from 0.46 million yuan in 2022 to an expected 4.38 million yuan in 2024, despite ongoing losses [9] - The gross profit margin has shown an upward trend, with figures of -70.45%, 27.84%, 72.32%, and 69.17% from 2022 to mid-2025 [9] Future Outlook - The company is optimistic about the future demand for GPU infrastructure, predicting explosive growth in the market, which is expected to reach 1.363 trillion yuan by 2029 [8] - The company plans to improve its financial performance through technological breakthroughs, product iterations, market expansion, and cost optimization [9]

Core Viewpoint - The article highlights the rapid development of domestic computing power in China, particularly focusing on the IPO of Moore Threads, which is set to become the first domestic GPU company listed on the Sci-Tech Innovation Board, marking a significant step towards building an independent and controllable computing power system in China [2][3]. Group 1: Company Overview - Moore Threads, established in 2020, specializes in the independent research and design of full-function GPUs, aligning with China's strategy for high-level technological self-reliance [3]. - The company has launched four generations of GPU architecture chips from 2021 to 2024, with the latest being the "Changjiang" smart SoC chip in 2024 [4]. - Moore Threads is the only domestic company that has achieved mass production of full-function GPUs, with products applied in various fields such as AI model training, digital twins, and cloud computing [4]. Group 2: Technological Advancements - The company's products have reached or approached international advanced levels in certain performance metrics, with the MTT S80 graphics card's single-precision floating-point performance nearing that of NVIDIA's RTX 3060 [4]. - Moore Threads has invested over 4.3 billion yuan in R&D from 2022 to June 2025, with over 77% of its workforce dedicated to research, resulting in 514 authorized patents in key technology areas [5]. Group 3: Market Potential - The global GPU market is projected to reach 3.62 trillion yuan by 2029, with China's market expected to grow significantly, from 15.6% of the global market share in 2024 to 37.8% by 2029, reflecting a compound annual growth rate of 51.1% [5]. - The IPO funds will primarily support the development of new AI training and inference chips, graphics chips, and AI SoC chips, aligning with national strategies to enhance key technology independence and build new computing infrastructure [6].

Core Insights - The China Securities Regulatory Commission has approved the initial public offering (IPO) registration of Moore Threads, marking it as the first domestic GPU company to go public, injecting momentum into the A-share market for hard technology [1] Group 1: Technological Advancements - Moore Threads has established a comprehensive technology system centered on "full-function GPUs," covering chip architecture, AI computing, graphics rendering, and scientific computing since its founding in 2020 [2] - The self-developed MUSA architecture supports AI acceleration, physical simulation, and ultra-high-definition encoding and decoding, with performance metrics approaching leading international companies [2] - As of June 2025, the company holds 453 domestic patents across critical areas such as processor architecture and computing clusters, creating a technological moat [2] Group 2: Financial Performance - The company has transitioned from technological breakthroughs to scalable profitability, with revenue increasing from 46 million yuan in 2022 to 438 million yuan in 2024, reflecting a compound annual growth rate of over 200% [3] - In the first half of 2025, revenue reached 702 million yuan, surpassing the total of the previous three years [3] - Gross margin improved significantly from -70.08% in 2022 to 69.14% in 2025, indicating a turning point in profitability [3] Group 3: Capital and Valuation - Prior to the IPO, Moore Threads completed eight rounds of financing, raising over 6.5 billion yuan, with a pre-IPO valuation of 24.62 billion yuan [4] - The IPO aims to raise 8 billion yuan, with significant portions allocated for the development of next-generation AI training chips and graphics chips [4] Group 4: Industry Positioning - In a market dominated by NVIDIA and AMD, Moore Threads is positioned as a core player in domestic GPU replacement, leveraging its self-controlled architecture and open ecosystem [5] - The company's products are utilized in key sectors such as energy and manufacturing, addressing the growing demand for AI computing power [5] - The approval of the IPO signifies a shift from technological catch-up to industry leadership for domestic GPUs, with the potential to reshape the global GPU competitive landscape [5]

Core Insights - The report titled "2025 National AI Chip Industry White Paper" focuses on the development of domestic AI chips, highlighting their significance, challenges, innovation directions, industry landscape, core applications, and research conclusions [1] Industry Significance and Challenges - AI chips are considered the cornerstone of computing power and a key factor in global technological competition. Domestic chips must overcome three main challenges: architectural dominance, ecological shortcomings, and large-scale implementation [1] - The report emphasizes the need for breakthroughs through traditional architecture optimization and emerging architecture innovations such as RISC-V and integrated storage-computing [1] Innovation Directions - Key innovation areas include mainstream architecture AI innovations (AI instruction sets and hardware optimizations for x86, Arm, RISC-V), sparse computing (hardware support for zero-value skipping to enhance energy efficiency), FP8 precision (mass production by companies like Moer Thread to improve computing throughput), and system-level optimizations (Chiplet, integrated storage-computing, photonic integration) [1] - Domestic companies like Moer Thread, Huawei, and Yuntian Lifi have made significant advancements in sparse computing [1] Industry Landscape - The industry has developed a multi-category layout including CPU, AI SoC, cloud/edge/vehicle AI chips, and GPU, with companies concentrated in Shanghai (15), Beijing (8), and Guangdong (6). Leading firms include Huawei HiSilicon (Ascend series), Kunlun Chip (Baidu's 7nm XPU architecture), and Moer Thread (MTT S5000 supporting FP8) [1] - Research indicates that general parallel architecture (GPU clusters) is a preferred direction for computing power platforms, with computing density and software ecology being core bottlenecks [1] Core Applications - The intelligent computing industry is projected to reach a scale of 725.3 EFLOPS in 2024 and 1460.3 EFLOPS by 2026, with domestic clusters like Huawei Ascend 160,000-card cluster and Kunlun Chip's Baijie cluster already operational [1] - The smart driving industry shows a significant trend towards integrated cockpit solutions, with mass production of chips like Xiaopeng Turing and Horizon Journey 6P [1] - In the robotics sector, companies like Yushu Technology and UBTECH are accelerating commercialization, focusing on niche scenarios for domestic chips [1] - Edge AI applications cover AloT and smart home sectors, aiming for a balance between energy efficiency and cost [1] Research Conclusions - Full-stack domestic solutions are favored, with intelligent cockpit chips and industrial collaborative robots identified as key breakthrough scenarios. Ecological development needs to consider both full-stack closed-loop and open-source collaboration [1]

Investment Rating - The report maintains a positive outlook on the domestic AI chip industry, particularly highlighting the advancements of leading companies such as Huawei, Cambricon, and Moore Threads [4]. Core Insights - The domestic AI computing industry is undergoing significant changes in both supply and demand, with a rapid increase in Token consumption driving AI capital expenditure growth [14][5]. - Moore Threads, founded in 2020, focuses on the development of fully functional GPU chips and has a strong team with backgrounds from NVIDIA, positioning itself as a leading player in the domestic AI chip market [4][25]. - The company's products are designed to meet diverse computing needs, integrating AI acceleration, graphics rendering, and other capabilities into a single GPU chip [38][25]. Summary by Sections 1. Domestic AI Chip Industry - The domestic AI Token consumption has increased by 300 times over 1.5 years, with daily consumption surpassing 30 trillion by mid-2025 [14]. - Major internet companies are significantly increasing their AI-related capital expenditures, with Alibaba's projected spending exceeding 380 billion over three years [15][19]. 2. Moore Threads: Ecosystem, Architecture, and Clusters - Moore Threads has launched four generations of GPU architectures, covering AI computing, cloud computing, and personal computing [25][38]. - The company’s AI computing products are primarily delivered in cluster form, with significant revenue growth expected from AI computing cards starting in 2024 [49][50]. 3. Company Positioning and Product Development - Moore Threads' products are positioned as fully functional GPUs, supporting various computing precisions to cater to different application scenarios [38][39]. - The company has a robust product matrix that includes AI computing cards, professional graphics acceleration products, and desktop graphics cards [26][39]. 4. Competitive Landscape - The leading domestic AI chip manufacturers include Huawei, Cambricon, and Moore Threads, with their latest products nearing NVIDIA's H100 performance levels [4][19]. - The report emphasizes the importance of software ecosystems and interconnectivity protocols being developed by companies like Huawei and Haiguang to enhance the overall AI chip ecosystem [6][7]. 5. Financial Performance and Projections - Moore Threads is expected to achieve significant revenue growth, with total revenue projected to reach 7.01 billion in the first half of 2025, a 60% increase from the previous year [42][43]. - The company maintains a stable gross margin of around 70%, with expectations of turning profitable as AI computing cards gain market traction [43][44].

Group 1 - The electronic industry experienced a 3.51% increase from September 22 to September 26, ranking third among major sectors [2][3] - The electronic industry's price-to-earnings ratio stands at 72.55, with the highest valuations in the computer, defense, and electronic sectors [2][3] - Within the electronic sector, semiconductor equipment saw the largest increase of 15.56% during the same period [2][3] Group 2 - The storage chip market is entering a new price increase cycle, with major manufacturers like Samsung and SK Hynix reducing DDR4 production to focus on higher-margin products [3][4] - Flash memory prices have risen significantly, with NAND Flash wafer prices increasing by nearly 10% in September, and DRAM prices rising approximately 72% over the past six months [3][4] - Companies such as Micron and SanDisk have announced price hikes of 20%-30% and over 10%, respectively, indicating strong demand in the enterprise market [3][4] Group 3 - Alibaba announced significant upgrades to its AI infrastructure at the Cloud Summit, including the launch of the Qwen3-Max model with over a trillion parameters [6] - The new AI server, Panjiu 128, supports 128 AI computing chips and offers substantial improvements in performance and efficiency [6] - The successful IPO of Moore Threads marks a significant milestone in the domestic AI chip industry, with the company achieving technological breakthroughs in GPU architecture [7][8]

Core Viewpoint - The article discusses the rapid development and competitive landscape of domestic GPU companies in China, particularly focusing on the "Four Little Dragons" of the GPU sector: Moer Thread, Muxi Integration, Suiruan Technology, and Birun Technology. It highlights their technological advancements, market positioning, and the potential for investment opportunities in the sector [2][3][55]. Group 1: Company Overview - Moer Thread is set to undergo review for its IPO on the Sci-Tech Innovation Board, achieving a record timeline of just three months from acceptance to review. Post-IPO valuation is projected between 150 billion to 300 billion yuan, with optimistic estimates reaching 500 billion yuan [2]. - Muxi Integration, Suiruan Technology, and Birun Technology have also initiated or completed IPO counseling, with recent financing valuations ranging from 15 billion to 25 billion yuan [3]. Group 2: Technological Comparison - Moer Thread aims to create a full-function GPU capable of supporting AI computing, graphics rendering, scientific computing, and video encoding on a single chip. Its product line includes AI computing products, professional graphics acceleration products, and consumer-grade graphics cards [11][16]. - Muxi Integration focuses on general-purpose GPU solutions, with its main product, the Xiyun C series, supporting large model training and high-performance computing. It claims to have a memory capacity of 144GB HBM3e, surpassing NVIDIA's H20 [28][30]. - Suiruan Technology specializes in cloud-based AI computing infrastructure, with its flagship product, the L600, boasting a memory capacity of 144GB HBM3e, which is 1.5 times that of NVIDIA's H20 [52][54]. - Birun Technology's BR100 series claims to have peak computing power three times that of NVIDIA's A100, although its actual performance utilization is lower [42][44]. Group 3: Market Positioning and Competitive Landscape - The "Four Little Dragons" are positioned in the first tier of the domestic GPU market, each carving out differentiated competitive advantages in various niches such as full-function GPUs, high-performance computing, AI computing, and supercomputing clusters [55]. - Despite their advancements, these companies still face challenges in practical efficiency, software ecosystems, and supply chain optimization compared to established players like NVIDIA [55]. Group 4: Financing and Investment Dynamics - Moer Thread has experienced rapid financing, with its valuation increasing from under 1 billion yuan in the angel round to 24.62 billion yuan in the Pre-IPO round, making it one of the highest-valued unicorns in the domestic GPU sector [57]. - Muxi Integration has received significant government support, with over 60% of its funding coming from state-owned capital, participating in national strategic projects [59]. - Suiruan Technology has completed 11 rounds of financing, with Tencent as its largest institutional shareholder, holding a 20.49% stake [62]. - Birun Technology has seen continuous investment from state-owned funds, with its A round financing setting a record in the domestic chip design sector [65].

Core Viewpoint - DeepSeek has launched DeepSeek-V3.1, featuring comprehensive upgrades in mixed reasoning architecture, cognitive efficiency, and agent capabilities, with a notable focus on the UE8M0 FP8 technology designed for the next generation of domestic chips [1][3]. Company Insights - The announcement of UE8M0 FP8 technology has triggered a positive response in the capital market, with stocks of companies like Cambrian and Haiguang Information experiencing short-term increases [3]. - DeepSeek's introduction of UE8M0 FP8 technology signifies a strategic move into chip technology, reflecting the trend of software-defined hardware, where software stacks and algorithm optimization are crucial for enhancing hardware performance [5]. Industry Trends - The FP8 format is emerging as a new standard for AI training and inference, with major international players like NVIDIA and AMD also investing in this technology, indicating a potential shift in global technology direction [5]. - The FP8 technology optimizes data storage and transmission, significantly improving chip throughput and energy efficiency, thereby enhancing the competitiveness of domestic AI chips in both domestic and international markets [4][5]. - The balance between data precision and computational efficiency remains a core issue in the evolution of technology within the artificial intelligence and high-performance computing sectors [3].