Core Insights - The article highlights the emergence of domestic GPU companies, particularly Moores Threads, as they approach a new phase of technological and capital convergence, with the company preparing for an IPO on the Sci-Tech Innovation Board [1][10] - Moores Threads has established itself as a significant player in the semiconductor industry by focusing on self-developed "full-function GPUs," which are gradually reaching international standards in terms of computing power, versatility, and ecosystem compatibility [1][3] Industry Overview - The global GPU market is projected to reach 36,119.74 billion yuan by 2029, with China's GPU market expected to grow to 13,635.78 billion yuan, increasing its global market share from 30.8% in 2024 to 37.8% in 2029 [1] - The AI chip market in China is anticipated to surge from 1,425.37 billion yuan in 2024 to 13,367.92 billion yuan by 2029, with a compound annual growth rate of 53.7% [8] Company Development - Moores Threads has developed the MUSA architecture, which is the first domestic architecture to support AI computing, graphics acceleration, and physical simulation on a single chip, marking a significant technological breakthrough [4][6] - The company has launched several products, including the MTT S80 consumer graphics card and the MTT S5000 AI computing card, which have shown competitive performance against international counterparts [4][5] Financial Performance - Moores Threads' revenue has increased from 45.84 million yuan in 2022 to 432 million yuan in 2024, reflecting a compound annual growth rate of 208% [9] - The company's AI computing business accounts for 77.6% of its revenue, driven by the demand for large model training and GPU cloud services [9] Strategic Positioning - The company has a strong focus on R&D, with an investment of 1.359 billion yuan in 2024, resulting in a research expense ratio of 309.88% [6] - Moores Threads has secured 450 patents, including 442 domestic patents, which positions it well within the GPU intellectual property landscape [6] Market Opportunities - The company is well-positioned to capitalize on the growing demand for GPUs in various sectors, including AI, digital twins, autonomous driving, and virtual reality [8][11] - The ongoing IPO process is expected to provide Moores Threads with additional capital and resources to support its technological advancements and market expansion [10][11]

Group 1: Core Insights - The company, Moer Thread, has submitted its IPO application to the Sci-Tech Innovation Board, marking its entry into the capital market and revealing its growth trajectory and core competitiveness [1] - The latest prospectus showcases Moer Thread's technological accumulation and commercialization potential in the full-function GPU field, highlighting its all-stack technical barriers and impressive growth curve [1][2] Group 2: Technological Advantages - Moer Thread has built a comprehensive technical moat from chip to cluster, with its MUSA architecture supporting AI computing acceleration, graphics rendering, physical simulation, scientific computing, and ultra-high-definition video encoding [2][3] - The MUSA architecture signifies Moer Thread's technological maturity in the domestic full-function GPU sector, with its flagship AI product, MTT S5000, aiming to compete with NVIDIA's H100 in performance [3][4] Group 3: Market Performance - From 2022 to 2024, Moer Thread's revenue surged from 46.09 million to 438.46 million, achieving a compound annual growth rate (CAGR) of 208.44%, reflecting its strong market competitiveness [6] - Despite being in a loss-making position, the company has narrowed its net loss from -1,839.55 million in 2022 to -1,491.94 million in 2024, indicating a 19% reduction in losses [6] Group 4: Strategic Positioning - The company emphasizes strategic losses as a means to build competitive barriers, similar to Tesla's approach, where initial losses are viewed as investments in future market dominance [7][10] - Moer Thread's R&D investment efficiency has improved significantly, with revenue per unit of R&D expenditure increasing from 0.041 to 0.323, a rise of approximately 7.88 times [7] Group 5: Future Prospects - The company plans to raise 8 billion for R&D of three new-generation chips, targeting improvements in computing efficiency, AI computing capabilities, and the development of a self-controlled ecosystem [10] - Moer Thread's path indicates a potential transition from a technology investment phase to a value return phase, with expectations of reaching a J-curve inflection point for profitability [8][10] Group 6: Conclusion - Moer Thread is positioned to break through in the GPU sector, leveraging rapid architectural iterations and a robust patent portfolio to establish a technological moat [11] - The company aims to convert its technological advantages into commercial barriers, potentially leading to a new growth phase [11]

智通财经APP获悉，6月30日，根据上交所官网消息，摩尔线程智能科技（北京）股份有限公司（简 称"摩尔线程"）科创板IPO获得受理，保荐机构为中信证券。此次拟募集资金约80亿元，投资于摩尔线 程新一代自主可控AI训推一体芯片研发项目、摩尔线程新一代自主可控图形芯片研发项目、摩尔线程 新一代自主可控AI SoC芯片研发项目、补充流动资金。摩尔线程在今年6月成功跻身《2025胡润全球独 角兽榜》，位列第212名。此次IPO有望使其成为"国产GPU第一股"。 公司此次发行募集资金扣除发行费用后，将投资于以下项目： 财务方面，于2022、2023、2024年度，公司研发费用分别为11.16亿元、13.34亿元、13.59亿元，同期营 业收入分别为4608.83万元、1.24亿元、4.38亿元；同期净利润为-18.40亿元、-16.73亿元、-14.92亿元， 公司目前尚未实现盈利。 单位:万元 2024年度 2023年度 2022年度 项目 /2024年末 /2023年末 /2022年末 营业收入 43,845.95 12,398.19 4,608.83 营业利润 -148,930.45 -167,396.94 -1 ...

一周IPO动态，覆盖港股、美股、A股。 本文为IPO早知道原创 作者｜C叔 微信公众号｜ipozaozhidao 云知声 港股｜挂牌上市 据IPO早知道消息，云知声智能科技股份有限公司（以下简称"云知声"）于2025年6月30日正式 以"9678"为股票代码在港交所主板挂牌上市，成为"港股AGI第一股"。 作为中国AGI技术的先行者，成立于2012年的云知声在以深度学习模型发布为标志的人工智能自然 语言处理取得突破后不久，即利用自己在交互式AI方面的研发专业知识和自成立以来获得的市场洞 察力，推出首个基于BERT的大语言模型UniCore，作为自己的中心技术平台云知大脑的初始核心算 法模型，并为广泛的垂直行业的客户赋能一系列AI解决方案。 2016年，云知声战略性地开始建立Atlas AI基础设施，其基于云知声的智算集群，高效地为机器学 习任务动态调度强大的算力，同时这也前沿AI模型的开发、优化和商业化提供重要支撑。目前，云 知声的智算集群拥有超过184 PFLOPS的计算能力，以及超过10PB的存储容量。在过去几年 UniCore的演进和优化的基础上，云知声于2023年推出了一个拥有600亿个参数的自有大语 ...

2024年，多家国产GPU公司启动上市辅导；2025年，谁会最先成为国产GPU第一股？这是近期国内GPU 行业备受关注的热点话题。 近日，证监会官网显示，国内GPU厂商沐曦集成电路（上海）股份有限公司（以下简称"沐曦"）已完成 IPO辅导。6月18日，摩尔线程智能科技（北京）股份有限公司（以下简称"摩尔线程"）IPO辅导状态已 变为"辅导验收"。而就在6月30日，这两家国产GPU公司科创板IPO均获上交所受理。 在AI浪潮和推动关键技术自主可控的背景下，透过摩尔线程和沐曦所递交的招股书，外界已从财务、 技术、融资目的以及未来发展规划等不同角度来解读。此外，为什么近期发生了众多半导体企业推进 IPO进程？这也是市场热烈讨论的所在。 当然，这离不开政策的支持。6月18日，证监会出台《关于在科创板设置科创成长层 增强制度包容性适 应性的意见》（即科创板深化改革"1+6"政策措施），扩大第五套上市标准适用范围，支持人工智能、 商业航天、低空经济等更多前沿科技领域企业适用。 因此，近期GPU概念股火力拉满，多只个股逆势狂飙，这波行情是"国产替代加速+政策强力支持+市场 需求爆发"。 "即便摩尔线程和沐曦都在亏损，但他们 ...

以下文章来源于AGI接口 ，作者丸都山 AGI接口 . AI卷起的财富风暴。 出品 | 虎嗅科技组 作者 | 丸都山 编辑 | 苗正卿 在这场国产GPU的冲刺中，摩尔线程与沐曦的创始团队皆堪称豪华。摩尔线程创始人张建中，曾 担任英伟达全球副总裁并执掌中国区业务，对GPU行业的全球格局和市场需求有着深刻的洞察； 沐曦创始人陈维良来自AMD，曾主导AMD数代核心产品的研发工作，对GPU架构设计和技术演进 有着深厚的专业造诣。 身处国产GPU热潮之中，又有明星创始团队光环加持，两家公司在资本市场备受追捧，早早就已 进入了"独角兽"行列。上市前，摩尔线程Pre-IPO投前估值已经达到246.2亿元，沐曦也超过了210 亿元。 在这样的背景下，行业内关于谁是"中国英伟达"的争议也愈发甚嚣尘上，但就从两家公司披露的 招股书信息来看，讨论这个问题实在为时过早。 作为国内最具潜力的GPU公司，摩尔线程与沐曦的所反映出的也是这个赛道的现状——从"可 用"到"好用"，国产GPU还有相当长的一段路要走。 头图 | 视觉中国 6月30日，摩尔线程与沐曦两家国产GPU公司在同一天递交科创板IPO申请，正式吹响冲刺上市的 号角。 亏损不 ...

Group 1: Company Overview - Moores Threads has submitted its IPO prospectus to the Sci-Tech Innovation Board, aiming to issue no less than 44.45 million shares, which will account for at least 10% of the total shares post-issue [1] - The company operates under a Fabless model, focusing on the research, design, and sales of full-function GPU chips, while outsourcing manufacturing and testing processes [1] Group 2: Financial Performance - In 2024, the company's revenue exceeded 400 million yuan, with a compound annual growth rate (CAGR) of over 200% in the last three years [2] - Despite rapid revenue growth, the company has not yet achieved profitability, with net losses reported at 1.84 billion yuan in 2022, 1.67 billion yuan in 2023, and 1.49 billion yuan in the most recent period [8] Group 3: Technological Advancements - The company has developed the MUSA architecture, which supports AI computing acceleration, graphics rendering, physical simulation, and ultra-high-definition video processing on a single chip [2][3] - Moores Threads' products are designed to be highly compatible with existing global GPU application ecosystems, significantly reducing migration costs and ensuring stable technology application [3] Group 4: Market Position and Competition - The global integrated circuit industry is dominated by a few foreign companies, with Nvidia and AMD holding significant market shares [2] - The Chinese GPU market has grown rapidly, from 38.48 billion yuan in 2020 to an expected 163.82 billion yuan in 2024, driven by increasing demand for AI applications [7] Group 5: Future Prospects and Challenges - The funds raised from the IPO will be allocated to the development of new AI training and inference chips, graphics chips, and AISoC chips, as well as to supplement working capital [6] - The company faces challenges due to being placed on the U.S. Entity List, which restricts its ability to procure U.S. materials and technologies, potentially impacting its operations [8]

Core Viewpoint - The article discusses the recent IPO applications of two domestic GPU companies, Moore Threads and Muxi, highlighting their potential and challenges in the competitive landscape of the GPU industry in China [1][2]. Group 1: Company Overview - Moore Threads and Muxi submitted their IPO applications on June 30, marking a significant step towards their public listing [1]. - Both companies are led by experienced founders with backgrounds in major global tech firms, enhancing their credibility in the GPU market [1]. - Pre-IPO valuations for Moore Threads and Muxi are reported at 24.62 billion yuan and over 21 billion yuan, respectively [1]. Group 2: Financial Performance - Moore Threads' revenue projections from 2022 to 2024 are 46.08 million yuan, 124 million yuan, and 438 million yuan, with net losses of 1.84 billion yuan, 1.67 billion yuan, and 1.49 billion yuan [2]. - Muxi's revenue for the same period is projected at 426,400 yuan, 5.3 million yuan, 74.3 million yuan, and 32 million yuan, with net losses of 777 million yuan, 871 million yuan, 1.41 billion yuan, and 233 million yuan [2]. - Combined, both companies have incurred total losses of 8.2 billion yuan over the past three years [3]. Group 3: Market Context - The GPU industry is characterized by high R&D costs, with Moore Threads investing 3.81 billion yuan in R&D from 2022 to 2024, which is over six times its projected revenue [2]. - The current market environment presents a critical window for GPU companies to seek public listings, especially with recent reforms allowing unprofitable companies to go public [6]. Group 4: Product Development - Moore Threads has developed a comprehensive product line, including four generations of GPU architectures and various applications in AI computing, graphics rendering, and personal entertainment [8]. - Muxi focuses on training and inference integrated GPUs, with products based on self-developed GPU IP and instruction sets, enhancing efficiency and reducing dependency on external IP [11]. - Moore Threads' desktop GPU, MTT S80, is reported to perform comparably to NVIDIA's RTX 3060, although it still lags in driver support [10]. Group 5: Competitive Landscape - Both companies are positioned in the first tier of the domestic GPU market, but they face challenges in customer retention and dependency on key distributors [13][15]. - The ability to secure production capacity is a significant concern, as both companies rely on foundries for manufacturing, and recent regulations have limited their options [17].

Core Viewpoint - The competition for the title of "first domestic GPU stock" has begun, with major players like Moer Technology and Muxi Integrated Circuit both advancing towards IPOs, indicating a significant move towards capitalizing the domestic GPU market [1][8]. Group 1: Company Overview - Moer Technology is highlighted as the most notable player among the "four little dragons" of domestic GPUs, with a core team primarily from Nvidia [2]. - The company's MTT S80 graphics card has a single-precision floating-point performance close to Nvidia's RTX 3060, and its self-built GPU computing cluster outperforms similar foreign counterparts [2][12]. Group 2: Financial Performance - In 2024, Moer Technology's revenue reached 438 million yuan, representing a year-on-year increase of over 200% [3]. - Despite the revenue growth, the company incurred a net loss of 1.492 billion yuan due to R&D expenses of 1.359 billion yuan, although this loss has decreased by about 10% year-on-year [4]. Group 3: Fundraising and Investment Plans - Moer Technology plans to raise 8 billion yuan for the development of AI training and inference chips, graphics chips, and AI SoC chips, marking the largest fundraising scale among new IPO projects on the Sci-Tech Innovation Board this year [5][6]. Group 4: Product Strategy and Market Position - Moer Technology's product lineup includes AI computing, professional graphics acceleration, desktop graphics acceleration, and intelligent SoC, catering to government, enterprise, and individual consumer needs [9]. - The AI computing products generated 336 million yuan in revenue in 2024, accounting for over 70% of total revenue, benefiting from the rapid growth in demand for large model training and inference deployment [11][12]. Group 5: Competitive Landscape - Moer Technology's revenue in 2024 was only about 60% of Muxi Integrated Circuit's revenue, indicating a competitive challenge [18]. - The company is shifting its strategy to focus more on professional graphics acceleration and AI computing products, as its consumer-grade products have struggled in a competitive market [20][21]. Group 6: Future Outlook - The management anticipates that Moer Technology could achieve profitability as early as 2027, with 440 million yuan in sales contracts already in progress [23][24].

导 语： 行业整合不可避免，多位业内人士预测，当前多家国产GPU企业中，可能只有2-3家能 够存活。 GPU作为数字经济的核心算力引擎，已成为全球科技竞争的战略高地。2025年6月，摩尔线程正式 递交科创板IPO申请，拟募资80亿元，标志着国产GPU企业进入资本加速期。 本文将从行业现状出发，分析摩尔线程的技术路线与竞争优劣势，通过与沐曦、壁仞科技等国内同 行的系统对比，揭示国产GPU产业的挑战与机遇。 当前国产GPU行业呈现"四小龙"格局：摩尔线程采取全功能GPU路线，产品覆盖AI计算加速、图形 渲染等多个领域；沐曦聚焦高性能GPU；壁仞科技以GPGPU见长；燧原科技专注云端AI训练和推 理。 摩尔线程2024年在中国数据中心GPU市场占有率达22%，消费级市场份额达70%，得益于其双端布 局策略。 02 优势与风险 摩尔线程计划募资80亿元用于新一代芯片研发。2022-2024年，公司营收从4608.83万元增长至4.38 亿元，复合增长率超200%。其AI智算产品收入占比从零提升至2024年的77.63%，达3.36亿元。 技术方面，摩尔线程的MUSA架构支持AI计算加速、图形渲染等多种能力。截至202 ...