Core Viewpoint - The acceptance of IPO applications from two domestic GPU companies, Moer Technology and Muxi Co., marks a new phase for the domestic GPU industry, transitioning from technological challenges to capital empowerment, which strengthens the confidence in the "Chinese chip" strategy [3][4]. Company Summaries - Moer Technology, founded in 2020, focuses on developing full-function GPUs for high-performance computing fields such as AI and digital twins. The company aims to raise approximately 8 billion yuan through its IPO to invest in various AI and graphics chip projects [4][6]. - Muxi Co., also established in 2020, specializes in developing and selling full-stack GPU products for AI training and inference, as well as general computing and graphics rendering. The company plans to raise 3.904 billion yuan for new high-performance GPU projects [6][7]. Financial Performance - Moer Technology's revenue is projected to grow from 46 million yuan in 2022 to 438 million yuan in 2024, with a compound annual growth rate (CAGR) of 208.44%. The company has invested a total of 3.81 billion yuan in R&D over the past three years [4][10]. - Muxi Co.'s revenue is expected to increase from 426,400 yuan in 2022 to 740 million yuan in 2024, with an impressive CAGR of 4074.52%. The company has invested 2.23 billion yuan in R&D during the same period [7][10]. Market Context - The global GPU market is currently dominated by Nvidia and AMD, creating a significant barrier for domestic companies. The competition is shifting from performance to ecosystem collaboration and resilience [9][12]. - The Chinese GPU market is witnessing a surge in IPO activities, with several companies, including Moer Technology and Muxi Co., leading the charge. The competition for the title of "first domestic GPU stock" is intensifying [8][9]. Regulatory Environment - The recent policies from the China Securities Regulatory Commission (CSRC) support the listing of unprofitable technology companies on the STAR Market, facilitating the IPO process for companies like Moer Technology and Muxi Co. [10][11]. - The CSRC's measures aim to enhance the inclusivity and adaptability of the STAR Market, allowing for a broader range of technology firms to access capital [11][12]. Future Outlook - The GPU market is projected to maintain a significant share of the AI chip market, with expectations of reaching a market size of 246.5 billion USD by 2028, growing at a CAGR of 32.82% [11][12]. - The competition among domestic GPU manufacturers is expected to evolve, focusing on innovation in computing architecture, software ecosystem development, and customized solutions for specific applications [9][12].

Core Viewpoint - The rise of domestic AI chip companies, particularly Muxi Integrated Circuit (Shanghai) Co., Ltd., is accelerating their entry into the capital market, with Muxi's IPO on the Sci-Tech Innovation Board being a significant event in the GPU sector [1][2]. Company Overview - Muxi aims to raise 3.904 billion yuan for the development and industrialization of next-generation general-purpose GPUs, AI inference chips, and advanced heterogeneous computing architectures [1]. - Founded in 2020, Muxi is part of the "Four Little Dragons" of domestic GPUs, alongside companies like Moore Threads and Birran Technology [2]. - Muxi's flagship product, the "Xiyun C series," is a self-developed GPU chip that has achieved significant sales and application in AI public computing platforms [3]. Financial Performance - Muxi's revenue projections for 2022 to 2024 are 426,000 yuan, 53.021 million yuan, and 743 million yuan, respectively, indicating substantial growth [3]. - Despite revenue growth, Muxi is facing significant net losses projected at 780 million yuan, 870 million yuan, and 1.41 billion yuan over the same period, totaling 3.06 billion yuan in losses [3]. Market Context - The domestic AI chip market is still in its early stages, with increasing penetration rates for local brands, but lacking a clear competitive landscape [1]. - The rise of domestic GPU manufacturers is driven by the growth of AI models, the "East Data West Computing" initiative, and ongoing policies promoting domestic innovation [5]. - By 2025, domestic AI chips are expected to account for 40% of the AI server market in China, while NVIDIA's share is projected to decrease to 41.5% [7]. Policy Environment - The recent reforms in the Sci-Tech Innovation Board have created a more favorable environment for unprofitable but technologically advanced companies like Muxi, signaling a shift towards supporting "hard tech" enterprises [4].

Core Viewpoint - The article highlights the significant progress of domestic GPU companies, particularly Moore Threads and Muxi, as they both received acceptance for their IPO applications, marking a historic moment for the domestic GPU industry [1][2]. Group 1: Company Profiles - Moore Threads was founded by Zhang Jianzhong, a former NVIDIA executive, who established a complete GPU ecosystem in China during his 15 years at NVIDIA [2][5]. - Muxi's founding team has a strong background in AMD, with key members having extensive experience in GPU design and architecture [5][6]. - Both companies aim to break the monopoly of international giants in the high-performance GPU market, despite their different strategic focuses [9]. Group 2: Product Development and Market Strategy - Moore Threads targets both data center (B-end) and consumer gaming graphics card (C-end) markets, aiming to create a comprehensive ecosystem [3][10]. - Muxi focuses primarily on the data center market, starting with general-purpose computing (GPGPU) and gradually expanding into graphics rendering [7][17]. - Moore Threads has developed the MUSA architecture, which supports AI computing, graphics rendering, and physical simulation on a single chip, making it the only domestic company to fully compete with NVIDIA [10][13]. Group 3: Financial Performance and R&D Investment - Both companies are investing heavily in R&D, with Moore Threads' R&D investment accounting for 626.03% of its revenue over the past three years, totaling 3.8 billion yuan, while Muxi's R&D investment is 282.11% of its revenue, totaling 2.2 billion yuan [25][21]. - Muxi's revenue has shown remarkable growth, with a compound annual growth rate of 4074.52% from 2022 to 2024, while Moore Threads also experienced a significant growth rate of 208.44% during the same period [28][30]. - Both companies are improving their gross margins, with Moore Threads increasing from 18.08% in 2022 to 36.60% in 2024, and Muxi achieving a gross margin of 62.88% in 2023 [32][32]. Group 4: Market Challenges and Future Outlook - The domestic GPU industry faces challenges, particularly in software ecosystems, where NVIDIA has a significant advantage with its CUDA platform [37]. - Both companies are working to build their developer ecosystems, with Moore Threads offering a software stack that allows for easier migration from CUDA, and Muxi supporting major frameworks like PyTorch and PaddlePaddle [37]. - Despite high R&D costs leading to losses, both companies are showing strong revenue growth and potential for future success in the GPU market [21][33].

Core Viewpoint - The article discusses the recent financing of Sunrise, a domestic GPU company that has completed nearly 1 billion yuan in funding, highlighting its potential in the AI chip market and its strong product lineup [1][4][12]. Company Overview - Sunrise was spun off from SenseTime at the end of 2024 and focuses on high-performance GPU development, positioning itself as a chip company that understands AI better [3][4]. - The company has successfully completed two rounds of financing within a short period, indicating strong market confidence in its future prospects [12]. Leadership and Team - The co-CEOs of Sunrise are Wang Zhan, a veteran from Baidu, and Wang Yong, a former AMD executive, both bringing significant industry experience to the company [6][8]. - The core technical team consists of only 150 members, primarily from renowned companies like AMD, Baidu, and SenseTime, showcasing a strong talent pool [8][12]. Product Line - Sunrise's product lineup includes three GPUs: S1, S2, and S3, each targeting different application scenarios [9][10]. - The S1 chip is designed for cloud-edge visual inference and has already achieved mass production with over 20,000 units shipped [11]. - The S2 chip is a GPGPU for large model inference, compatible with the CUDA ecosystem, and has performance metrics that match NVIDIA's A100, also achieving mass production [11]. - The S3 chip is under development and is expected to reduce inference costs significantly by 2026, aiming to make domestic large model inference more cost-effective [11][12]. Market Position and Challenges - Sunrise's rapid financing and product achievements position it as a potential "new hope" in the domestic GPU market, with strong backing from notable investors [12]. - The domestic GPU market is competitive, with several companies like Muxi and Biran Technology also entering the field, but challenges remain in high-end manufacturing processes and software ecosystem development [13].

整理｜冬梅 6 月 23 日，中国证监会网站显示，国产 GPU 龙头之一的沐曦集成电路（上海）股份有限公司（以 下简称"沐曦"）IPO 辅导状态已变更为"辅导工作完成"，其上市辅导机构为华泰联合证券。这也意味 着沐曦的科创板 IPO 之旅又迈出了重要一步，接下来会提交上市申报材料，准备在 A 股上市。 | | | 公开发行辅导公示 | | 辅导对象 | 辅导机构 | 备案时间 辅导状态 | 派出机构 | 报告类型 报告标题 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | 北京 | - | 天津 | 上海百英生物科技股份有限 公司 | 国泰海通证券股份有限公司 | 2025-02-10 辅导工作完成 | 上海证监局 | 辅导工作完成报告 关于上海百英生物 ... | | - | 河北 | - | mg | | | | | | | - | 内蒙古 | = | 辽宁 | > 上海奉天电子股份有限公司 | 东方证券股份有限公司 | 2022-09- 辅导工作完成 05 | 上海证监局 | 辅导工作完成报告 关于上海奉天电子 ... | | - ...

Core Viewpoint - The performance of the G100 chip from the domestic GPU startup Lishuan Technology has been called into question after its GeekBench test score of 15524, which is comparable to the Nvidia GTX 660 Ti from 13 years ago, raising concerns about its competitiveness in the market [1][2]. Group 1: Product Performance - The G100 chip, equipped with 32 compute units and a minimum core frequency of 300MHz, achieved a score of 15524 in OpenCL general computing tests, significantly lower than the RTX 4060, which scored over 100,000, making G100's performance only 6.5% of that of RTX 4060 [2]. - The G100's specifications include a mere 256MB of video memory, which is considerably below the industry standard for modern GPUs, and the actual performance may be affected by potential driver optimization issues and firmware limitations [3]. Group 2: Architecture and Design - The G100 utilizes the self-developed TrueGPU architecture, designed to meet the demands of high-performance graphics rendering and the growing need for AI applications, marking it as the first GPU architecture to integrate both capabilities [4]. - TrueGPU architecture features a unified shader and tensor engine core, which aims to enhance compatibility with AI ecosystems and provide robust computing performance, while also supporting major graphics and computing APIs such as DirectX 12.2, Vulkan 1.3, OpenGL 4.6, and OpenCL 3.0 [4].

Core Viewpoint - The article discusses the upcoming IPO of Moore Threads, a domestic GPU company in China, highlighting its rapid growth and significant backing from notable investors [1][2][3]. Company Overview - Moore Threads was founded in June 2020 and has a registered capital of 330 million yuan. The actual controller, Zhang Jianzhong, holds 44.07% of the shares [7][8]. - The company has completed six rounds of financing, raising over 4.5 billion yuan, with a valuation of 25.5 billion yuan as of last November [3][4]. Investment and Market Response - The company has attracted investments from prominent firms such as Sequoia China, Tencent, ByteDance, and Pony.ai, indicating a strong investor confidence [5]. - Following the news of its IPO progress, several related stocks, including Heertai, saw significant price increases, with Heertai rising over 8% [6]. Product and Technology Development - Moore Threads focuses on providing a full-function GPU, utilizing the MUSA architecture, which integrates AI computing acceleration, graphics rendering, video encoding/decoding, physical simulation, and scientific computing [9]. - The company has developed various products for both B-end and C-end markets, including the MTT S4000 model for large model training and the MTT X300 professional graphics card [10][13]. Competitive Landscape - Other companies in the same IPO wave include Suiyuan Technology and Birun, both focusing on AI training and computing solutions, showcasing a growing trend in the domestic chip industry [14][15].

Core Viewpoint - The progress of Moer Thread's IPO counseling status to "counseling acceptance" indicates a significant step towards its potential listing, marking a milestone for the domestic GPU chip industry in China [1][3]. Company Overview - Moer Thread, founded in 2020 by former NVIDIA executive Zhang Jianzhong, focuses on developing domestic full-function GPU chips aimed at providing computing power for AI training, graphics rendering, and scientific computing [1][2]. - The company has completed six rounds of financing, raising over 4.5 billion yuan, with investments from over 40 notable institutions including Sequoia China, Tencent, and ByteDance [1]. Product Development - Moer Thread's self-developed GPU chip utilizes the MUSA architecture, integrating four major engines: AI computing acceleration, graphics rendering, video encoding/decoding, and physical simulation, showcasing strong competitiveness [2]. - In December 2023, the company launched the fully domestic thousand-card billion model training platform, Moer Thread KUAE, highlighting its capabilities in large model training [2]. - The MTT S4000 computing card successfully passed evaluation by the China Academy of Information and Communications Technology, enhancing its market recognition [2]. Market Reaction - Following the news of Moer Thread's IPO progress, shares of its affiliated company, Heertai, surged nearly 7%, positively impacting related concept stocks [2]. - Analysts believe that if Moer Thread successfully lists, it could leverage capital market resources to expand production capacity and increase R&D investment, thereby enhancing market share [2]. Competitive Landscape - The domestic GPU market is experiencing rapid growth due to explosive AI computing demand and supportive policies for domestic alternatives, but it also faces intense competition from companies like Cambricon and Birun Technology [3]. - Despite Moer Thread's technological advancements, it still lags behind international giants like NVIDIA in terms of technology maturity and market share, posing a significant challenge for profitability post-IPO [3]. Industry Significance - The completion of Moer Thread's IPO counseling is a crucial milestone for the domestic GPU industry, with implications for both the company and the broader domestic computing chip sector [3].

Core Viewpoint - The article discusses the growing interest and procurement plans for domestic GPUs, particularly Huawei's Ascend series, in light of increasing restrictions on GPU imports from the U.S. [1] Domestic GPU Procurement Situation - ByteDance is the most proactive in adopting domestic GPUs, primarily using Cambrian and Ascend, with plans to increase procurement in 2025 [2] - Alibaba is more cautious, planning to purchase Haiguang and Cambrian cards in 2025 while continuing to stockpile NVIDIA products [3] - Tencent is the most conservative, preferring NVIDIA products, followed by H company's offerings, and only considering Cambrian and Haiguang as alternatives [3][4] Ascend 910 Series Latest Situation - As of early June, the Ascend 910B has shipped approximately 160,000 units, while the 910C has only shipped about 27,000 units due to production delays [5] - The 910C has received positive feedback for its cluster capabilities but still lags behind NVIDIA in performance [5][6] - The annual shipment target for the Ascend series has been adjusted from 850,000 to around 700,000 units due to demand fluctuations and market conditions [6] Application Scenarios and Challenges - Approximately 15% to 20% of Ascend cards are used for model training, with the majority for inference tasks [6] - High costs and technical challenges limit the widespread use of Ascend cards in high-end training applications [6][8] - The development of multi-modal models is driving higher hardware standards, with domestic manufacturers striving to catch up with international brands [7] Custom Development and Market Outlook - Collaborating with Ascend for customized development offers cost advantages but requires significant human resources for adaptation [8] - The domestic chip industry is expected to expand its market share as technology advances and market demands evolve [8]

随着美国针对GPU的限制越来越多，大家对国产GPU尤其是华为昇腾系列GPU的表现和出货量都非 常关心，前段时间老黄还说华为芯片性能已超H200，华为的CloudMatrix云架构也已经超英伟达。当 然老黄这么说肯定是有夸张的成分，他一直对美国政府出台的这些限制政策很不爽，既让英伟达损 失了很多中国的大客户，又让国产GPU在这段时间取得了突飞猛进的发展。 由于华为从未对外公布过昇腾系列的出货量，因此我们只能参考第三方的调研，本文中关于昇腾910 系列出货量的数据，是参考自本营最近的一份调研纪要。 国产GPU采购情况 相信本文的读者们应该都看到过关于CSP大厂的资本开支，字节预计2025年投入1600亿，阿里宣布 未来3年投入3800亿建设云和AI硬件基础设施，腾讯预计2025投入900亿。根据公众号"AI半导体专 研"的一个调研，在H20被禁后，国内大厂对于国产GPU卡的态度和采购计划如下： 字节最为积极，主要采用寒武纪和昇腾，并广泛测试国内其他品牌，2025年计划增加采购这些品牌 的卡。 阿里则较为谨慎，除了自研的平头哥外，还上线了部分昇腾卡，但性能表现不佳；2025年预计首次 采购海光和寒武纪的卡，同时继续 ...