AI芯片

Search documents
北方华创-蚀刻与沉积设备随产品结构升级放量;平台化解决方案拓展;买入
2025-09-25 05:58
Summary of NAURA (002371.SZ) Conference Call Company Overview - **Company**: NAURA (002371.SZ) - **Industry**: Semiconductor Equipment (SPE) - **Rating**: Buy Key Points Industry Dynamics - NAURA is positioned to benefit from increased semiconductor capital expenditure (Capex) in China, projected to grow by 5% YoY to US$40 billion in 2025 and US$42 billion in 2026 [1][2] - Rising demand for local semiconductor equipment is driven by increased cloud Capex spending from Chinese cloud service providers (CSPs) focusing on AI applications [2] Financial Performance - Earnings have been revised upwards by 2% and 3% for 2026 and 2027, respectively, due to higher revenues from etching and deposition tool shipments [3] - Gross margin (GM) is expected to decrease slightly by 0.1 percentage points in 2026 and 2027 due to product mix changes, while operational efficiency improvements are expected to reduce the operating expense (Opex) ratio by 0.2 percentage points [3] Revenue and Profit Projections - Revenue projections for 2025, 2026, and 2027 are Rmb39.34 billion, Rmb51.28 billion, and Rmb61.63 billion, respectively, reflecting a growth of 1% and 2% from previous estimates [4] - Net income is projected to increase to Rmb10.54 billion in 2026 and Rmb12.09 billion in 2027, marking a 2% and 3% increase from prior estimates [4] Valuation and Price Target - The target price for NAURA has been revised to Rmb561, based on a 38.4x P/E ratio for 2026, up from Rmb492 previously [6][14] - The target P/E is derived from a regression analysis of global SPEs' P/E ratios and forward earnings growth [6][14] Risks - Key downside risks include potential US export restrictions on Chinese semiconductor firms, which could hinder capacity expansion and reduce demand for NAURA's equipment [15] - Slower-than-expected capacity expansion at NAURA's mature node customers may lead to slower revenue growth than anticipated [15] Additional Insights - The company is expanding its product offerings, including new manufacturing capacities for advanced nodes to meet the demand for AI chipsets in China [2] - The localization trend in China is evident, with major telecom companies like China Mobile and China Unicom announcing new AI computing projects utilizing local chipsets [2] This summary encapsulates the essential insights from the conference call regarding NAURA's market position, financial outlook, and associated risks, providing a comprehensive overview for potential investors.
*ST仁东拟1亿元入股江原科技 进军AI芯片赛道
Zheng Quan Shi Bao Wang· 2025-09-25 01:54
*ST仁东表示,此次布局,不仅顺应了AI+支付的趋势,更通过绑定江原科技这样的国产芯片优质企 业,在算力国产化浪潮中占据先机。同时,此次投资也意味着公司正式将"AI+支付"装进产业生态版 图。 值得注意的是,此次投资布局发生在*ST仁东完成重整半年后。 9月24日晚间,*ST仁东(002647)发布公告称,公司将通过增加注册资本的方式投资深圳江原科技有 限公司(以下简称"江原科技"),投资金额为1亿元。本次增资完成后,*ST仁东将持有江原科技 4.1427%的股权。 *ST仁东表示,本次投资为布局第二增长曲线,公司看好国产AI芯片未来的市场空间,同时也认可江原 科技的技术实力与发展前景。本次投资有利于落实未来发展战略,提升公司综合竞争力,为公司的长远 发展打下坚实基础。 公开资料显示,江原科技成立于2022年11月,专注全国产AI芯片研发,与本土先进工艺制造厂商协 作,完成全流程国产自主先进工艺芯片成功量产交付,实现了先进自主设计、工艺制造、封装的本土化 全流程。目前江原科技已经完成第一代芯片产品D1的流片,并在此基础上实现了基于D1芯片的算力卡 产品D10的批量应用,即将推出基于第一代芯片产品的第二款算力卡 ...
瑞芯微涨2.03%,成交额5.59亿元,主力资金净流入3346.22万元
Xin Lang Cai Jing· 2025-09-25 01:51
Core Viewpoint - 瑞芯微 has shown significant stock performance with a year-to-date increase of 109.39% and a recent market capitalization of 961.66 billion yuan [1] Financial Performance - For the first half of 2025, 瑞芯微 reported revenue of 2.046 billion yuan, representing a year-on-year growth of 63.85% [2] - The net profit attributable to shareholders for the same period was 531 million yuan, marking a substantial increase of 190.61% year-on-year [2] Stock Market Activity - As of September 25, 瑞芯微's stock price was 228.57 yuan per share, with a trading volume of 5.59 billion yuan and a turnover rate of 0.59% [1] - The stock has experienced a net inflow of 33.46 million yuan from main funds, with significant buying activity from large orders [1] Shareholder Information - As of June 30, 2025, 瑞芯微 had 64,900 shareholders, a decrease of 14.75% from the previous period [2] - The average number of circulating shares per shareholder increased by 17.82% to 6,480 shares [2] Dividend Distribution - Since its A-share listing, 瑞芯微 has distributed a total of 1.274 billion yuan in dividends, with 566 million yuan distributed over the past three years [3] Major Shareholders - The top ten circulating shareholders include significant institutional investors, with Hong Kong Central Clearing Limited holding 13.7097 million shares, an increase of 6.9373 million shares from the previous period [3]
专访中昊芯英CTO郑瀚寻:国产AI芯片也将兼容不同平台
2 1 Shi Ji Jing Ji Bao Dao· 2025-09-24 22:22
Core Insights - The demand for AI computing is driving attention towards AI chips beyond GPUs, with companies like Google and Groq leading the way in alternative technologies [1][3] - In the domestic market, ASIC custom chip manufacturers are rapidly developing, as the cost of specialized chips decreases, allowing more firms to explore personalized AI capabilities [2][4] AI Chip Market Trends - The trend of seeking development opportunities outside of GPU chips is becoming more pronounced, with companies recognizing that innovation is necessary to compete with NVIDIA [3][4] - The success of GPUs is largely attributed to NVIDIA's established engineering teams, which are not easily replicable by newcomers [3] Technological Advancements - The introduction of Tensor Cores in NVIDIA's Tesla V100 series has highlighted the efficiency of tensor processing units (TPUs) in handling large data volumes, offering significant computational advantages [4][5] - The scaling laws in AI models continue to demand higher performance from underlying AI computing clusters, presenting challenges for domestic XPU chips [5] Interconnectivity and Infrastructure - Companies are focusing on enhancing interconnectivity between chips, cabinets, and data centers to meet the demands of high-speed data transmission [5][6] - 中昊芯英 is exploring advanced interconnect technologies, such as OCS all-optical interconnects, to improve its capabilities [6] Competitive Landscape - NVIDIA's InfiniBand protocol is seen as a competitive advantage for large-scale data center deployments, while domestic firms are leaning towards Ethernet protocols for their flexibility and improved performance [6] - The development of software ecosystems is crucial for domestic AI chip platforms, as they need to build their own software stacks to compete with NVIDIA's established CUDA ecosystem [6][7] Future Directions - The evolution of AI models, particularly those based on the Transformer architecture, continues to shape the landscape, with ongoing optimizations and adaptations [7] - The compatibility and smooth operation of various platforms will be essential for the success of domestic AI chips, similar to the early days of the Android ecosystem [7]
中创智领双主业协同发力业绩双增 拟2.7亿设亚新科热管理提升竞争力
Chang Jiang Shang Bao· 2025-09-24 19:20
长江商报消息 ●长江商报记者 江楚雅 中创智领大手笔加码热管理业务,增强核心竞争力。 中创智领(601717.SH、00564.HK)近日公告称,控股子公司亚新科工业技术(南京)有限公司拟出资 2.7亿元设立全资子公司亚新科热管理技术(仪征)有限公司(以下简称"亚新科热管理")。 中创智领表示,本次投资旨在提升汽车热管理系统冷板业务的市场竞争力。 长江商报记者注意到,9月17日,老牌煤机行业上市公司郑煤机正式更名为"中创智领",标志着公司从 传统制造向智能工业解决方案提供商转型。 9月17日,老牌煤机行业上市公司郑煤机(郑州煤矿机械集团股份有限公司)举行更名揭牌仪式,正式 更名为"中创智领",标志着公司战略迈向智能化、多元化发展新阶段,从传统制造向智能工业解决方案 提供商转型。 中创智领依托煤炭机械与汽车零部件双主业协同发力,业绩实现"质效双升"。 中创智领依托煤炭机械与汽车零部件双主业协同发力,驱动业绩增长。2025年上半年,公司实现营业收 入199.70亿元,同比增长5.42%;归母净利润25.15亿元,同比增长16.36%。 布局热管理冷板业务抢占市场 中创智领公告显示,拟由控股子公司设立全资子公司亚新 ...
中昊芯英CTO郑瀚寻:国产AI芯片也将兼容不同平台
2 1 Shi Ji Jing Ji Bao Dao· 2025-09-24 10:41
21世纪经济报道记者骆轶琪 太原报道 旺盛的AI智算需求驱动下,越来越多GPU路线之外的AI芯片正获得更多市场关注。 从美股市场看,博通(Broadcom)水涨船高的订单量和股价大涨背后,少不了众多云服务厂商寻求英 伟达GPU生态之外技术路线的支持,以谷歌(Google)为代表的TPU(张量计算单元)芯片、Groq为代 表的LPU芯片都是其中典型。 在国内市场同样如此,立足于ASIC定制芯片的众多厂商正在快速发展。 对于目前市场中XPU广泛发展的情况,中昊芯英联合创始人兼CTO郑瀚寻接受21世纪经济报道记者专访 时指出,"在计算技术发展迭代过程中,产业界持续追求更高费效比的路径,可能会逐渐向某个方向收 敛,这是可以预见的趋势。" 他进一步表示,过去,业界普遍认为ASIC芯片从流片到最终落地应用过程中,需要付出较高成本,但 随着专用芯片持续发展,其成本不再那么高昂时,会有越来越多厂商愿意借力自研专用芯片架构,探索 推进个性化AI能力落地。这是ASIC芯片备受关注的原因。"好比在架构方面,天下大势,合久必分、分 久必合。" TPU跃起 寻找GPU芯片之外的发展机会早已是一种新趋势。 郑瀚寻对记者分析,近些年间硅谷 ...
21专访|中昊芯英CTO郑瀚寻:国产AI芯片也将兼容不同平台
2 1 Shi Ji Jing Ji Bao Dao· 2025-09-24 10:40
Core Insights - The demand for AI computing is driving attention towards non-GPU AI chips, with companies like Google and Groq leading the way in alternative architectures [1][2] - The rise of custom ASIC chips is notable, as companies seek to reduce costs and enhance personalized AI capabilities [1][2] - The trend of exploring opportunities beyond GPU chips is becoming increasingly evident in the market [1] Market Trends - New players in Silicon Valley, such as Groq and SambaNova, are focusing on architectural innovation rather than GPU-like structures to achieve performance breakthroughs [2] - The success of GPU chips is largely attributed to NVIDIA's established engineering teams, making it challenging for new entrants to replicate this success [2] - Custom ASIC chips are gaining traction, as evidenced by Broadcom's significant orders and Google's ongoing development of TPU chips [2] Technological Developments - The investment in Tensor Processing Units (TPUs) is seen as cost-effective, especially in the era of large models, where data transmission scales significantly enhance computational efficiency [3][4] - TPUs are compared to 3D printers in their ability to efficiently handle computation tasks, leading to better data migration and lower energy consumption [4] - The challenge for domestic XPU chips lies in scaling "single-point efficiency" to "cluster efficiency" to meet the demands of large-scale AI computing [4][5] Infrastructure and Connectivity - Future data transmission is identified as a potential bottleneck for AI infrastructure, with Tensor Cores offering advantages in handling increased data volumes [5] - Middle and high-speed interconnect capabilities are being developed, with companies like 中昊芯英 supporting large-scale chip interconnectivity [5][6] - The evolution of Ethernet technology has made it competitive for AI chip manufacturers, with significant improvements in physical media and bandwidth capabilities [6] Software Ecosystem - The development of a robust software ecosystem is crucial, as domestic chip platforms must build their own software stacks to ensure compatibility and performance [6][7] - The ongoing evolution of large language models, primarily based on the Transformer architecture, presents opportunities for AI chip manufacturers to align their product development with these advancements [7]
芯片强势拉升领涨市场,芯片龙头ETF(516640)上午收盘涨6.42%
Mei Ri Jing Ji Xin Wen· 2025-09-24 06:06
今天芯片板块集体上涨,盘中半导体、AI芯片、存储芯片等细分概念涨幅居前,截至发稿,芯片 龙头ETF(516640)上午收盘涨6.42%,科创芯片ETF富国(588810)上午收盘涨6.28%。其中芯片龙头 ETF成分股长川科技20cm涨停,南大光电涨超17%,盛美上海涨超14%。 近期芯片板块催化不断,政策端,工信部正推进智能网联汽车准入、"车路云一体化" 等试点,将 拉动车规级芯片需求;证监会 "并购六条" 落地后,半导体产业并购重组量同比增近四成,加速产业整 合与技术迭代。 此外,上游半导体硅片涨价预期愈演愈烈,有消息称台积电正在计划对其3纳米制程和2纳米制程的 工艺节点进行涨价,台积电向联发科收取的高端3纳米的N3P制程费用较上一代涨价24%。 芯片龙头ETF(516640)紧密跟踪中证芯片产业指数,覆盖包括芯片设计、半导体设备、集成电路 制造、半导体材料等细分领域,助力投资者高效分享国内半导体行业增长红利。没有场内账户的投资者 可以关注该产品的联接基金(A 类014776; C 类014777)。 每日经济新闻 (责任编辑:张晓波 ) 【免责声明】本文仅代表作者本人观点,与和讯网无关。和讯网站对文中陈 ...
科创50ETF指数(588040)涨超1.7%,半导体设备领涨市场
Xin Lang Cai Jing· 2025-09-24 02:59
Group 1 - The Shanghai Stock Exchange Sci-Tech Innovation Board 50 Index (000688) has seen a strong increase of 1.74%, with notable gains from component stocks such as Shengmei Shanghai (688082) up 9.99%, Huahai Qingshi (688120) up 7.10%, and Hehui Optoelectronics (688538) up 7.04% [1] - The Sci-Tech 50 ETF Index (588040) also rose by 1.74%, with the latest price reported at 1.46 yuan [1] - Semiconductor equipment is leading the market, with Shengmei Shanghai reaching a new high following the announcement of its first KrF process front-end coating and developing equipment, Ultra Lith KrF, which was delivered to a major logic wafer factory in China on September 8, 2025 [1] Group 2 - The Sci-Tech 50 ETF Index closely tracks the performance of the Sci-Tech Innovation Board 50 Index, which consists of 50 securities with large market capitalization and good liquidity, reflecting the overall performance of representative sci-tech enterprises [2] - As of August 29, 2025, the top ten weighted stocks in the Sci-Tech Innovation Board 50 Index include Cambricon (688256), SMIC (688981), Haiguang Information (688041), and others, collectively accounting for 60.25% of the index [2] - The Sci-Tech 50 ETF Index is complemented by other products such as the Sci-Tech 50 Enhanced ETF (588460) and various connection funds [2]
半导体ETF领涨,机构看好封测设备端投资机会丨ETF基金日报
2 1 Shi Ji Jing Ji Bao Dao· 2025-09-24 02:53
Market Overview - The Shanghai Composite Index fell by 0.18% to close at 3821.83 points, with a high of 3838.61 points during the day [1] - The Shenzhen Component Index decreased by 0.29% to 13119.82 points, reaching a peak of 13267.9 points [1] - The ChiNext Index rose by 0.21% to 3114.55 points, with a maximum of 3157.02 points [1] ETF Market Performance - The median return of stock ETFs was -0.29% [2] - The highest performing scale index ETF was ICBC Credit Suisse's ChiNext 50 ETF with a return of 1.18% [2] - The highest performing industry index ETF was E Fund's CSI Bank ETF with a return of 1.63% [2] - The highest performing strategy index ETF was Taikang's CSI Dividend Low Volatility ETF with a return of 0.7% [2] - The highest performing style index ETF was Yinhua's CSI 500 Value ETF with a return of 3.32% [2] - The highest performing theme index ETF was GF's CSI Semiconductor Materials and Equipment Theme ETF with a return of 7.72% [2] ETF Performance Rankings - The top three ETFs by return were: - GF's CSI Semiconductor Materials and Equipment Theme ETF (7.72%) [4] - Huaxia's CSI Semiconductor Materials and Equipment Theme ETF (6.04%) [4] - E Fund's CSI Semiconductor Materials and Equipment Theme ETF (5.76%) [4] - The top three ETFs by decline were: - GF's National 2000 ETF (-9.46%) [4] - Fuguo's CSI Tourism Theme ETF (-3.61%) [4] - Guotai's Shanghai Stock Exchange Sci-Tech Innovation Board Innovative Drug ETF (-3.42%) [4] ETF Fund Flows - The top three ETFs by fund inflow were: - Harvest's Shanghai Stock Exchange Sci-Tech Innovation Board Chip ETF (1.186 billion) [6] - Guotai's CSI All-Index Securities Company ETF (1.067 billion) [6] - Huaxia's CSI Robot ETF (538 million) [6] - The top three ETFs by fund outflow were: - E Fund's ChiNext ETF (581 million) [6] - Southern's CSI 500 ETF (443 million) [6] - E Fund's Shanghai and Shenzhen 300 ETF (363 million) [6] ETF Margin Trading Overview - The top three ETFs by margin buying were: - Huaxia's Shanghai Stock Exchange ChiNext 50 Component ETF (847 million) [8] - E Fund's ChiNext ETF (767 million) [8] - Guotai's CSI All-Index Securities Company ETF (591 million) [8] - The top three ETFs by margin selling were: - Southern's CSI 500 ETF (77.15 million) [9] - Southern's CSI 1000 ETF (39.24 million) [9] - Huatai's Shanghai and Shenzhen 300 ETF (27.78 million) [9] Institutional Insights - Dongwu Securities suggests investors focus on domestic AI chip-driven investment opportunities in testing and packaging equipment [10] - CITIC Securities indicates that semiconductor equipment is expected to enter a new rapid growth phase, with domestic wafer fabs having significant expansion potential [11]