Core Viewpoint - The article discusses the imminent IPOs of several domestic AI chip companies in China, likening them to "China's Nvidia," and highlights the intense competition and challenges they face in the market as they seek to establish themselves and secure funding for growth [4][5][6]. Group 1: IPO Challenges - Domestic chip companies are under pressure as they approach their IPOs, facing scrutiny from investors and the media regarding their progress [5][10]. - The IPO process is seen as a critical step for these companies to secure funding, but it also leads to increased competition in the market [5][16]. - The need for continuous external funding is emphasized, as these companies have not yet achieved a self-sustaining revenue-research cycle [15][16]. Group 2: Investment Landscape - There is a shift in investment dynamics, with a noted increase in activity from domestic funds compared to foreign dollar funds, which are retreating [11]. - The potential for high returns from investing in these IPOs is highlighted, with investors expressing regret over missed opportunities in the past [10][11]. - The article notes that the IPOs of these companies could lead to significant wealth creation for investors and employees, although the realization of this wealth may take time [27]. Group 3: Market Dynamics - The article points out that the current market environment is favorable for new IPOs, particularly in the AI chip sector, as investor sentiment is high [29]. - The competition is not only among domestic companies but also against established players like Nvidia, which is facing challenges in the Chinese market [31][33]. - The demand for AI computing power is surging, creating opportunities for domestic companies to capture market share previously held by foreign firms [36][38]. Group 4: Future Prospects - The growth of AI inference is expected to provide a significant boost to domestic chip companies, as the demand for computing power continues to rise [36][38]. - The article emphasizes the importance of product performance and market acceptance for the success of these companies in the competitive landscape [40][41]. - The need for effective marketing and sales strategies is highlighted as crucial for these companies to establish a foothold in the market [42][44].

Investment Rating - The report indicates a strong investment outlook for the domestic GPU industry, particularly highlighting the leadership of Mu Xi in the general-purpose GPU sector [3]. Core Insights - The GPU market in China is expected to grow significantly, with an estimated market size of approximately 1,000 billion yuan for GPUs and 425 billion yuan for other AI chips by 2024 [3][8]. - Domestic internet giants are increasing capital expenditures, with Alibaba planning to invest over 380 billion yuan in AI computing centers and data centers over the next three years [3][10]. - Mu Xi is positioned as a leading domestic high-performance general-purpose GPU company, with a self-developed architecture that is compatible with CUDA [3][18]. Summary by Sections 1. GPU Industry - The GPU industry is gradually establishing a domestic computing and AI model ecosystem, with significant growth in the market size of accelerated chips [4][9]. - By 2024, the domestic accelerated chip market is projected to exceed 270 million units, with local brands accounting for over 82 million units shipped [3][8]. 2. Mu Xi Co., Ltd. - Mu Xi has developed a comprehensive product matrix covering AI computing, general computing, and graphics rendering, with notable products including the Xi Yun C500 and C550 series GPUs [3][38]. - The company has achieved a revenue CAGR of 4075% from 2022 to 2024, with 2024 revenue reaching 743 million yuan [31][35]. - Mu Xi's team comprises industry veterans with backgrounds from AMD, enhancing its technological capabilities [27][30]. 3. Key Investment Targets - The report identifies several key investment targets in the GPU sector, including Cambrian, Haiguang Information, and Mu Xi itself, as well as advanced process-related companies like SMIC and Hua Hong Semiconductor [3][5].

Core Viewpoint - The article discusses the recent response from Muxi Co., Ltd. regarding the inquiry letter for its initial public offering and listing on the Sci-Tech Innovation Board, focusing on its product offerings, market competition, and financial performance. Product and Market Competition - Muxi's products are categorized into training and inference integrated series (GPU boards, GPU servers), intelligent computing inference series (GPU boards), IP licensing, and others, with significant revenue fluctuations across different product types [1][3] - The company has delivered nine intelligent computing clusters, catering to various customer needs, including integrated servers and workstations [1] - The global GPU market is dominated by Nvidia and AMD, with domestic competitors including Huawei HiSilicon, Suiruan Technology, and Kunlun Core, which focus on specialized computing architecture [1] - Muxi's competitive position against international and domestic leaders is not sufficiently detailed in the prospectus [1] Financial Performance and Product Structure - Muxi's revenue from the training and inference integrated series has significantly increased, with the revenue share rising from 30.09% in 2023 to 97.87% in Q1 2025, while the intelligent computing inference series has dropped from 100% to 1.25% during the same period [12][14] - The main revenue sources are the Xiyun C500 series products, which have gained substantial market recognition due to their performance and alignment with industry needs [15][16] - The company has focused its resources on flagship products, which is a common strategy among industry peers like Nvidia, where flagship products dominate revenue streams [18] Product Development and Market Trends - Muxi was established in 2020 with a clear focus on AI training and inference chips, aligning with the growing market demand for such products [10][14] - The company has successfully launched the Xiyun C500 series, which competes with Nvidia's A100 in performance, and has been well-received in various industry applications [15][16] - The GPU chip development cycle is long and capital-intensive, making the concentration on flagship products a strategic choice for Muxi [17] Competitive Landscape and Challenges - The domestic GPU market faces challenges such as competition from international giants, high customer service standards, and a relatively weak software ecosystem [22][23][24] - Muxi's products are positioned to meet the increasing demand for high-performance GPUs in AI applications, particularly in the context of geopolitical tensions and the push for domestic alternatives [15][26] - The company has established partnerships with various sectors, enhancing its market presence and brand recognition [27][28]

Core Insights - Huawei's Ascend 384 supernode has made its debut, achieving a computing power of 300 Pflops through self-developed Matrix-Link technology, positioning it as a competitor to NVIDIA's latest GB200 NVL72 [1] - Domestic AI chip manufacturers are collaborating to build a robust ecosystem, with significant advancements showcased at the World Artificial Intelligence Conference [2] - The performance of domestic AI chip companies has surged, with notable revenue increases reported across the sector [2][3] Group 1: Huawei and Its Innovations - Huawei's Ascend 384 supernode has been recognized as a "treasure of the exhibition" at the World Artificial Intelligence Conference, attracting significant attention [1] - The supernode's architecture allows 384 cards to operate as a single computer, showcasing its advanced capabilities [1] - The deployment of Huawei's technology is already in multiple data centers across the country, providing services to various sectors including internet and automotive [2] Group 2: Domestic AI Chip Developments - Companies like Nucypher and Suirun Technology are developing advanced chips, with the C600 model set for small-scale production in Q4 of this year [1] - The domestic AI chip industry is experiencing rapid growth, with companies like Moore Threads reporting a 256% increase in revenue, driven by AI computing business [2] - Cambrian Technology has turned a profit for the first time in years, with a 40-fold increase in revenue and over 2-fold profit growth in Q1 of this year [3] Group 3: Industry Trends and Collaborations - The domestic AI chip industry is moving towards a trend of adopting local chips, with significant collaborations among companies like Xizhi Technology and ZTE [2] - The introduction of light-interconnected GPU supernodes is expected to reduce power consumption and latency significantly [2] - The overall performance of domestic AI chips has led to a substantial increase in market presence, indicating a shift away from reliance on foreign technology [3]

Group 1 - Huawei's Ascend 384 super node has made its debut at the World Artificial Intelligence Conference, showcasing a computing power of 300 Pflops through its self-developed Matrix-Link network, positioning it against Nvidia's latest GB200 NVL72 [1] - Domestic AI chip manufacturers are collaborating to build a robust domestic computing power ecosystem, exemplified by products like the Xiyun C550 and C600 from Nuxi, which utilize self-developed architectures and are set for small-scale production in Q4 [1][2] - The domestic AI chip market has seen significant growth, with companies like Moore Threads reporting a 256% increase in revenue to 432 million yuan, and Nuxi's revenue surging over 1300% to 742 million yuan [2] Group 2 - The trend of adopting domestic AI chips is becoming irreversible, as evidenced by the increasing usage of these chips in various sectors, supporting China's computing backbone [3] - The collaboration among companies such as Xizhi Technology, Biyuan Technology, and ZTE has led to the development of the first domestic optical interconnect GPU super node, LightSphere X, which aims to reduce power consumption and latency [2]