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].

Core Viewpoint - The release of DeepSeek's V3.1 and its mention of "UE8M0 FP8" has triggered a significant positive reaction in the A-share market, indicating a potential breakthrough for domestic chip manufacturers in the computing power sector [6][15]. Group 1: Market Reaction - Following the announcement, over 2800 stocks in the A-share market experienced an increase, with significant gains in computing power stocks and chip manufacturers like Cambrian and Zhongxin International [6][15]. - The market's response reflects optimism about the domestic chip industry's ability to compete on an international level, marking a rare moment of resonance within the domestic computing power industry [6][15]. Group 2: Technical Insights - "FP8" is a floating-point format that compresses data to 8 bits, aimed at reducing memory bandwidth pressure during AI model training and inference [8]. - The challenge for domestic chip manufacturers has been the limited native support for FP8, with only a few companies like Moore Threads offering GPUs that support this format [8][9]. - The introduction of "UE8M0" as a scaling factor in the MX format allows for efficient data management, significantly reducing bandwidth overhead by 75% compared to traditional methods [12][15]. Group 3: Industry Implications - DeepSeek's announcement signifies a shift in the domestic computing power ecosystem, moving away from reliance on NVIDIA and towards supporting local chip manufacturers [13][15]. - The successful implementation of UE8M0 FP8 indicates that domestic chip companies have made progress in optimizing floating-point formats, compiler optimizations, and training framework adaptations [13][15]. - Companies like Moore Threads and Cambrian are positioned to benefit from this development, as they have been in contact with DeepSeek and support FP8 natively [14][15].

本文来自微信公众号：凤凰网科技 （ID：ifeng_tech），作者：姜凡，编辑：董雨晴，题图来自：AI生成 DeepSeek在8月21日正式发布V3.1，一则官方补充留言激起千层浪。 是的，因为官方在V3.1的发布文章里把有关过程算力支持的描述写得太隐晦，又自己在评论区补充了一句。 一夜过去，短短的一句话，A股市场集体"开香槟"。据智通财经报道，全市场超2800只个股上涨。从板块来看，算力股全线爆发，云天励飞等多股涨停。 芯片股集体大涨，寒武纪涨停创历史新高，中芯国际大涨14%，海光信息涨停。 资本市场的反应并不是对一句口号的追捧，而是看到了国产芯片在算力赛道上真正切入国际前沿的可能。DeepSeek的这句话，不仅被视作一次"技术换 挡"的信号，更是国内算力产业链罕见的共振时刻。 DeepSeek这枚炸弹，到底是什么？ 要理解"UE8M0 FP8"为何能引发如此大的关注，必须将其拆解为两个部分：作为本体的"FP8"和作为灵魂的"UE8M0"。FP8本身是一种将数字压缩到仅用8 位（bit）来存储的浮点格式，旨在用更少的数据位宽降低AI大模型训练和推理中对显存带宽的空前压力。 而DeepSeek的模型一直使用 ...

Core Viewpoint - The release of DeepSeek V3.1 and its mention of the next-generation domestic chip architecture has caused significant excitement in the AI industry, leading to a surge in stock prices of domestic chip companies like Cambricon, which saw an intraday increase of nearly 14% [4][29]. Group 1: DeepSeek V3.1 and UE8M0 FP8 - DeepSeek V3.1 utilizes the UE8M0 FP8 parameter precision, which is designed for the upcoming generation of domestic chips [35][38]. - UE8M0 FP8 is based on the MXFP8 format, which allows for a more efficient representation of floating-point numbers, enhancing performance while reducing bandwidth requirements [8][10][20]. - The MXFP8 format, defined by the Open Compute Project, allows for a significant increase in dynamic range while maintaining an 8-bit width, making it suitable for AI applications [8][11][20]. Group 2: Market Reaction and Implications - Following the announcement, the semiconductor ETF rose by 5.89%, indicating strong market interest in domestic chip stocks [4]. - Cambricon's market capitalization surged to over 494 billion yuan, making it the top stock on the STAR Market, reflecting investor optimism about the company's capabilities in supporting FP8 calculations [29][30]. - The adoption of UE8M0 FP8 by domestic chips is seen as a move towards reducing reliance on foreign computing power, enhancing the competitiveness of domestic AI solutions [33][34]. Group 3: Domestic Chip Manufacturers - Several domestic chip manufacturers, including Cambricon, Hygon, and Moore Threads, are expected to benefit from the integration of UE8M0 FP8, as their products are already aligned with this technology [30][32]. - The anticipated release of new chips that support native FP8 calculations, such as those from Huawei, is expected to further strengthen the domestic AI ecosystem [30][33]. - The collaboration between DeepSeek and various domestic chip manufacturers is likened to the historical "Wintel alliance," suggesting a potential for creating a robust ecosystem around domestic AI technologies [34].

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]

Group 1: Core Insights - The report highlights the trend of domestic GPU companies, specifically Muxi and Moer Thread, receiving approval for their IPO applications on the Sci-Tech Innovation Board, indicating a clear trend towards autonomous computing power in AI [3][4] - Muxi's product matrix includes the Xisi N series for intelligent computing inference, the Xiyun C series for training and general computing, and the Xicai G series for graphics rendering, with cumulative GPU sales exceeding 25,000 units as of Q1 2025 [7][8] - Moer Thread has launched a comprehensive product matrix covering AI intelligent computing, professional graphics acceleration, and desktop graphics acceleration, with cumulative revenue from AI intelligent computing products reaching 336 million [33][34] Group 2: Muxi Company Overview - Muxi's self-developed architecture is compatible with CUDA, and the company has successfully implemented a thousand-card cluster, with plans for a ten-thousand-card cluster [7][13] - The flagship product, Xiyun C500, is set for mass production in February 2024, while the C600 and C700 are expected to follow in 2026 [8][10] - Muxi's management team has a strong background in AMD GPGPU development, contributing to a robust software and hardware team [10][11] Group 3: Moer Thread Company Overview - Moer Thread's product matrix includes four generations of GPU architectures, with the MTT S4000 and MTT S5000 set to enhance performance through innovations like FP8 precision support [33][34] - The company has developed a high-bandwidth interconnect technology, supporting thousands of interconnected cards, with the KUAE2 cluster expected to launch by the end of 2024 [33][34] - Moer Thread's market strategy focuses on both consumer and enterprise markets, aiming to cultivate a developer ecosystem while strengthening vertical solutions in key industries [33][34] Group 4: Market Strategy and Industry Outlook - Muxi's market strategy is defined by a "1+6+X" model, targeting six key industries including education, finance, transportation, energy, healthcare, and entertainment, while also exploring long-tail markets [26][28] - The report anticipates that AI computing will drive the localization of core supply chain segments, with several companies identified as potential beneficiaries of this trend [3][4] - The report emphasizes the importance of domestic supply chain stability and technological advancement in the semiconductor industry, particularly in the context of Muxi's and Moer Thread's growth [26][29]

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].

Core Viewpoint - The recent IPO applications of domestic GPU companies, Moore Threads and Muxi Integrated Circuit, have reignited discussions about the challenges and potential of the domestic GPU industry, particularly regarding the high costs and the need for substantial investment to achieve profitability [1][3][4][5]. Group 1: IPO Developments - Both Moore Threads and Muxi Integrated Circuit have had their IPO applications accepted by the Shanghai Stock Exchange, marking a significant step for the domestic GPU sector [1][3]. - Muxi plans to raise 3.9 billion yuan, while Moore Threads aims to raise 8 billion yuan through their IPOs [4][5]. Group 2: Financial Performance - Muxi's projected net losses from 2022 to 2024 are 777 million yuan, 871 million yuan, and 1.4 billion yuan, with R&D expenditures of 647.8 million yuan, 699 million yuan, and 900 million yuan respectively [4]. - Moore Threads anticipates net losses of 1.84 billion yuan, 1.673 billion yuan, and 1.492 billion yuan over the same period, with R&D costs of 1.116 billion yuan, 1.334 billion yuan, and 1.359 billion yuan [5]. - Despite the losses, both companies are seeing revenue growth, with Muxi's revenue projected to reach 743 million yuan by 2024, and Moore Threads expecting 438 million yuan in the same year [7][9]. Group 3: Market Dynamics - The domestic GPU market is characterized by high competition, with various players adopting different strategies, including those aligned with NVIDIA and AMD technologies [12][14]. - The GPU industry is heavily reliant on R&D investments, with companies needing to continue funding their development efforts to remain competitive [21][22]. Group 4: Future Prospects - The AI sector is identified as a significant growth area for GPUs, with the market for AI chips in China projected to grow substantially, indicating a promising future for domestic GPU manufacturers [25][26]. - The competitive landscape is expected to undergo consolidation, as many players vie for market share, suggesting that mergers and acquisitions may become more common [26][27].

Core Viewpoint - Two prominent GPU companies in China, Moore Threads and Muxi Integrated Circuit, have received acceptance for their IPO applications on the Sci-Tech Innovation Board as of June 30, 2023, indicating a growing interest in AI chip development in the country [1][2]. Company Overview - Moore Threads was established in June 2020 with a registered capital of 400 million yuan and has been recognized as a national-level specialized and innovative "little giant" enterprise [3][5]. - The company focuses on developing full-function GPUs aimed at high-performance computing fields such as AI, digital twins, and scientific computing [3][10]. - The founder and actual controller, Zhang Jianzhong, has a background with Dell and NVIDIA, which adds credibility to the company's leadership [3][5]. Financial Performance - From 2022 to 2024, Moore Threads reported cumulative revenues of 608 million yuan and a net loss of 5 billion yuan [8][10]. - The company aims to raise 8 billion yuan through its IPO to fund the development of new AI training and inference chips, graphics chips, and to supplement working capital [8][9]. Product Development - Moore Threads has launched four generations of GPU architectures and has developed a product matrix covering AI computing, cloud computing, and personal computing [3][10]. - The company’s MTT S80 graphics card has achieved performance metrics close to NVIDIA's RTX 3060, while the MTT S5000 is positioned as a domestic competitor to NVIDIA's H100 [8][10]. - The company has a strong focus on high-margin, high-performance segments, shifting resources away from lower-margin desktop graphics products [13][14]. Market Position and Competition - Moore Threads' GPUs are designed to compete with major international brands like NVIDIA and AMD, with specific performance comparisons highlighting areas of strength and weakness [6][7][24]. - The company has established a significant presence in the AI computing and professional graphics acceleration markets, with a notable sales performance in these segments [17][30]. Research and Development - The company has a robust R&D team, with 886 employees dedicated to research, representing 78.69% of the total workforce [27]. - Moore Threads has filed for numerous patents and has developed a proprietary architecture (MUSA) for its GPUs, enhancing its competitive edge in the market [27][28]. Customer Base - Major clients include Baidu and JD.com, with a high concentration of sales to the top five customers, indicating a reliance on a few key accounts for revenue [30][34]. - The company has seen an increase in sales of high-value AI computing products, contributing to its revenue growth [34].