刚刚,摩尔线程登陆A股,市值直逼3000亿
半导体行业观察·2025-12-05 01:46

Core Viewpoint - The article highlights the successful IPO of domestic GPU startup Moore Threads, which has reached a market capitalization close to 300 billion RMB, marking a new phase in the domestic GPU competition. The company aims to raise 8 billion RMB for the development of AI training chips and graphics chips [1]. Group 1: Company Overview - Moore Threads focuses on the research, design, and sales of GPUs and related products, having launched four generations of GPU architectures since its establishment in 2020. The company aims to provide computing acceleration platforms for high-performance computing fields such as AI and digital twins [5]. - The company has a diverse product matrix covering AI intelligent computing, high-performance computing, graphics rendering, and more, catering to government, enterprise, and consumer markets [5]. - As of the end of 2024, the company plans to have 1,126 employees, with 78.69% in research and development [5]. Group 2: Financial Performance - In the first half of 2025, Moore Threads achieved a revenue of 702 million RMB, a significant increase from the full-year revenue of 438 million RMB in 2024, driven by rising demand for large model training and GPU cloud services [6]. - The net loss for the first half of 2025 was 271 million RMB, a decrease of 56.02% year-on-year and 69.07% quarter-on-quarter. Cumulatively, the net loss from 2022 to 2024 was approximately 5 billion RMB, showing a trend of decreasing losses [6]. - The company anticipates achieving profitability by 2027, with government subsidies contributing to the expected earnings [6]. Group 3: Product Development and Market Strategy - Moore Threads is committed to developing a universal computing acceleration platform that integrates various computing needs, including AI model training and high-performance computing [7]. - The latest "Pinghu" architecture chip, launched in late 2024, supports FP8 precision and has a memory bandwidth of 800 GB/s, with a maximum memory capacity of 80 GB [8]. - AI intelligent computing products accounted for 94.85% of revenue in the first half of 2025, with significant sales of AI computing clusters expected to continue [10]. Group 4: Market Challenges - The graphics acceleration product line is facing challenges, with the first-generation "Sudi" GPU nearing the end of its lifecycle and the second-generation "Chunxiao" product facing competition from NVIDIA's mid-range offerings [11]. - The company is working on the development of a new generation of graphics chips to address the declining revenue and market share in this segment [11].