在指数持续缩量震荡，题材板块高速轮动的内卷大环境中， AI 算力中机构大票却走出了一波 凌厉的连续上涨，相关个股在股价走到高位高位之后，非但没有调整，反而是在今天进一步大 涨， PCB 板块更是掀起涨停潮，沪电股份这种权重股牢牢封死涨停。 今天这样的走势，是什么原因所导致的呢，产业上有什么新的变化？ 昨天晚上， Marvell 举行科技研讨会，对未来业务的预测，到 2028 年数据中心市场将达 940 亿美元，较此前上修了 26% 。其中 AI 定制计算和高性能互联是最关键的增长引擎，年 复合增长率分别高达 53% 和 35% 。 过去一周市场对于 ASIC 的预期已经比较高， Marvell 的会进一步强化市场预期。 对于国内产业链来说，核心的映射方向，就是 PCB 、 CCL 以及光模块。相较于 GPU ， ASIC 对于 PCB 、 CCL 以及光模块的用量都会有明显提升，尤其是 PCB 的用量提升更为明 显。 在 A 股当下的市场环境当中，有相当多资金在厌倦了无穷无尽的轮动行情之后，选择去本身 业绩就相当扎实的 AI 算力里面抱团。 再遇上新的产业变化，提高了未来的业绩预期，走出今天这样的强势行情也就 ...

以下文章来源于橙子不糊涂 ，作者橙子 橙子不糊涂 . 88年，集成电路背景，主要写科技，偶尔聊聊宏观和新鲜事儿。 今天信息量有点大，挑重点的说。 1，今天野村的一篇报告内容比较狂野，标题更狂野： 雄心有多雄？ 先要挑战英伟达的主导地位… 2， Meta搞的是机架级的玩意儿，看起来不像是要纯自用 。具体的： （1）MTIA T-V1（2025年底-2026年初） 由博通设计，类似AWS Trainium 2的中介层尺寸，Celestica负责机架和交换机， 广达 制造计算托盘和 CDU，PCB使用高规格材料（M8混合 CCL ，36层）。 架构与散热方面，16个计算刀片和6个交换刀片垂直插入2个电缆背板，通过DAC连接，主要芯片液 冷，低功耗组件风冷。 （2）MTIA T-V1.5（2026年中期） （按住，翻译…） 中介层尺寸翻倍，超过5个光罩，计算能力接近NVIDIA下一代GPU Rubin，PCB高达40层。 （3）MTIA T-V2（2027年），计划采用更大的 CoWoS 封装，可能需要液冷到液冷散热，功率系统达 170KW以上。 3， Meta MTIA的百万级的出货量目标 2025年底-2026年 ...

公众号记得加星标⭐️，第一时间看推送不会错过。 来源：内容 综合自 wccftech 。 在 上 月 底 ， AI 芯 片 霸 主 英 伟 达 黄 仁 勋 在 全 球 媒 体 问 答 中 表 示 ， 关 于 英 伟 达 芯 片 与 特 殊 应 用 IC （ASIC）之间的比拼，他坚定地表示，英伟达的增长速度会持续超过ASIC。 对于上述看法，黄仁勋的理由是，这世界上有会出现很多ASIC专案，但其中大约九成会失败，就像 会一直有新创公司冒出头，但大部分都会以败局告终。就算其中有些逃过此命运，但长时间下来，也 可能难以为继。 相较之下，黄仁勋认为，英伟达要延续并不难，这也是他的职责所在。由于英伟达的步伐很快，所以 如果有人想要打造ASIC，可能得比该公司的ASIC还要好才行。 黄仁勋说，市场竞争确实很激烈，但英伟达的技术进展很快，对架构持续进行最佳化，而且也努力让 成本尽速降低，如今已被广泛采用。 ASIC必须得英伟达竞争，且各种ASIC之间也要相互竞争。 毫无疑问，GPU龙头在人工智能领域进展迅速，通过快速引入新架构，打破了规模和性能方面的限 制。NVIDIA 并不担心在当今的人工智能市场中被边缘化，相反，他们 ...

Investment Rating - The report gives a "Buy" rating for the company, marking the first coverage of the stock [4][5]. Core Views - The company is positioned as a leading provider of one-stop customized chip design and semiconductor IP licensing services, focusing on R&D to drive future growth [14][17]. - The demand for self-developed ASICs from cloud vendors is surging, presenting historical opportunities for the chip design service industry [2][38]. - There is a pressing need for domestic semiconductor IP, with the company ranked first in China and eighth globally in terms of sales revenue [3][4]. Summary by Sections One-Stop Customized Chip Design & IP - The company offers comprehensive chip customization services and semiconductor IP licensing, with a strong emphasis on R&D and talent development [14][17]. - As of Q1 2025, the company has a record high order backlog of 24.56 billion yuan, indicating robust future revenue potential [1][11]. ASIC Demand Surge - The chip design service industry is experiencing a significant demand increase for self-developed ASICs, particularly from major cloud service providers [2][38]. - The company has strong supply chain capabilities, enabling it to meet the self-development needs of large enterprises [2][38]. Semiconductor IP Localization - The company is the leading provider of semiconductor IP in China, with a wide range of applications for its NPU and GPU IP products [3][4]. - The localization of semiconductor IP is critical, and the company is well-positioned to benefit from the trend towards domestic alternatives [3][4]. Profit Forecast and Investment Recommendations - Revenue projections for the company are 31.8 billion yuan in 2025, 40.6 billion yuan in 2026, and 58.8 billion yuan in 2027, with expected growth rates of 36.9%, 27.6%, and 45.0% respectively [4][9]. - The company is expected to turn profitable by 2025, with a projected net profit of 0.1 billion yuan, growing significantly in subsequent years [4][9].

Group 1: Low-altitude Economy - The central government has issued opinions to support the development of emerging industries in Shenzhen, including reforms in low-altitude flight management and regulations [1] - By May 2025, 30 provinces in China will include low-altitude economic development in their government work reports, with various local plans already in place [1] - The Civil Aviation Administration of China predicts that the low-altitude economy market will reach 1.5 trillion yuan by 2025 and 3.5 trillion yuan by 2035, driven by policies, infrastructure, and market forces [1] Group 2: Intelligent Robotic Hands - Researchers from Beijing General Artificial Intelligence Research Institute and Peking University have developed an intelligent robotic hand that achieves human-level adaptive grasping [2] - The robotic hand integrates high-resolution tactile sensing over 70% of its surface, allowing it to adjust its actions in real-time based on tactile feedback [2] - The market for robotic hands is expected to reach 45 billion yuan by 2030, with companies that can design and produce these hands likely to gain significant market power [2] Group 3: Stem Cell Therapy - China's first stem cell prescription drug, Aimi Maito injection, has been commercially applied in clinical settings, marking a significant milestone in stem cell therapy [3] - Stem cells are recognized for their unique regenerative capabilities, and the government is encouraging the development of cell therapy and gene therapy industries [3] - Stem cell technology is considered a third medical revolution, with ongoing advancements expected to benefit patients with difficult-to-treat diseases [3] Group 4: Media and Audio Content - Tencent Music announced plans to acquire Himalaya Holdings for a total price of 1.26 billion USD, enhancing its audio content ecosystem [4] - The acquisition aims to strengthen Tencent Music's dual-core strategy of "music + audio," integrating various audio content types [4] - The deal is expected to shift the industry towards ecological competition and accelerate the commercialization of long audio formats [4] Group 5: AI Chip Design - The launch of the first fully automated design system for AI-based processor chips, named "Qimeng," signifies a breakthrough in chip design capabilities [5] - The system can automate the entire design process from hardware to software, achieving levels comparable to human experts [5] - Domestic ASIC manufacturers are expected to benefit from the tightening of AI chip export controls, as they may capture more market share [5] Group 6: Innovative Drugs - The innovative drug Tofersen injection, the first precision treatment for ALS in China, has been officially launched [6] - This drug targets adult patients with SOD1 gene mutations, providing a new hope for treating this rare and fatal neurological disease [6] - The increasing presence of domestic innovative drugs at international conferences indicates a growing focus on innovation within the industry [6] Group 7: Genetically Modified Organisms (GMOs) - The GMO sector has seen significant performance improvements due to heightened government focus on seed safety and agricultural innovation [7] - China is accelerating the commercialization of GMO breeding, particularly for varieties with independent intellectual property rights [7] - The emphasis on food security and technological innovation positions the seed and grain planting sectors for potential market growth [7]

Investment Rating - The report maintains an "Increase" rating for the industry, emphasizing the explosive demand for ASICs and the investment opportunities in self-developed chip industries by CSPs like Amazon and Google [5][7][31]. Core Insights - The demand for custom ASICs is experiencing a comprehensive explosion, with significant growth expected in the custom acceleration computing chip market, projected to reach $42.9 billion by 2028, growing at a CAGR of 45% from 2023 to 2028 [14][31]. - Major North American CSPs are accelerating their self-developed ASIC layouts, with Google and Amazon leading the progress in custom chip development [14][19]. - Broadcom's guidance indicates that XPU deployments will exceed expectations in 2026, driven by strong demand for customized AI accelerators [20][22]. - Marvell is set to start 3nm chip production in 2026, with significant progress in custom AI XPU projects for large-scale data center clients [3][26]. - Wistron reported a significant revenue increase in May 2025, indicating a robust growth phase for ASIC demand, with AI inference servers expected to account for nearly 50% of the market [30][31]. Summary by Sections ASIC Demand and CSP Developments - The custom acceleration computing chip market is projected to grow from $6.6 billion in 2023 to $42.9 billion by 2028, with a CAGR of 45% [14]. - Google has launched the TPU v6 Trillium chip, expected to replace the TPU v5 by 2025, while Amazon is focusing on the Trainium v2 chip for generative AI applications [15][19]. - Meta is developing the MTIA v2 chip in collaboration with Broadcom, focusing on energy efficiency and low-latency architecture [18]. - Microsoft is enhancing its Maia series chips for Azure cloud applications, with the next generation being developed in partnership with GUC and Marvell [18][19]. Broadcom's Performance and Projections - Broadcom reported AI semiconductor revenue exceeding $4.4 billion in Q2 2025, a 46% year-over-year increase, with expectations for continued growth into 2026 [20][22]. - The company is collaborating with three clients and four potential clients for custom AI accelerator deployments, anticipating significant demand for XPUs in the second half of 2026 [20][22]. Marvell's Innovations and Collaborations - Marvell is set to initiate 3nm chip production in 2026, with strong demand from large-scale data center clients driving revenue growth [3][26]. - The partnership with NVIDIA to incorporate NVLink Fusion technology into custom platforms enhances Marvell's capabilities in the custom chip market [26]. Wistron's Revenue Growth - Wistron reported a revenue of 208.4 billion New Taiwan Dollars in May 2025, reflecting a 162% year-over-year increase, driven by the explosive demand for ASICs [30][31].

龙虎榜机构热股 今天机构龙虎榜上榜33只个股，净买入19只，净卖出14只。当日机构买入最多的个股前三位是：生益电子（3日4.57亿）、联化科技（3日1.6亿）、雄帝科技 （1.18亿）。 | 上榜热股 | 实时涨跌幅 | 买/卖家数 | 机构 | | --- | --- | --- | --- | | 生益电子 688183.SS | +8.00% | 3 / 3 | + 4 | | 3日 | | | | | 联化科技 002250.SZ | +6.93% | 2/1 | +1 | | 3日 | | | | | | | 个股龙虎榜 美利云 个股龙虎榜 二、农药 生益电子 3日龙虎榜显示，6家机构净买入4.57亿。 兴业证券研报指出，随着推理需求逐渐爆发，成为算力主要驱动力ASIC成长空间逐步打开。ASIC组网相比GPU可扩展性更强，架构也更为复杂精密，对于 交换机、光模块的需求更多，充分利好算力PCB产业链。 交换机领域，公司与头部企业合作，在 800G 高端交换机等领域取得重大突破，相关产品已经完成多家顶尖企业的认可，并陆续批量。 龙虎榜知名游资 一、算力 青云科技 6月5日，ST红太阳在微信公众号上发布《 ...

Summary of Conference Call Notes Industry Overview - The conference call focuses on the ASIC (Application-Specific Integrated Circuit) market dynamics, particularly involving major players like AWS, Google, Microsoft, and META, with projections extending into 2026 and beyond [1][2][5]. Key Company Insights AWS - AWS has resolved issues with Trainium 3 and continues to secure orders from downstream suppliers. The development of Trainium 4 has commenced, with expectations for a contract signing soon [2][5]. - The specifications for AWS's TPU chips are significantly higher than competitors, with TPU v6p and TPU v7p expected to have ASPs of US$8,000 and higher, respectively [2]. Google - Google is progressing steadily with its TPU series, with TPU v6p featuring advanced specifications including multiple compute and I/O dies. The company is anticipated to become a top customer for GUC due to its rapid ramp-up in CPU development [2][10]. - The revenue from Google's 3nm server CPU is expected to contribute to GUC's revenue sooner than previously anticipated, moving from Q4 2025 to Q3 2025 [10]. Microsoft - Microsoft is working on its Maia v2 ASIC, with a target of ramping 500,000 chips in 2026. However, the project has faced delays, pushing the tape-out timeline from Q1 2025 to Q2 2025 [3][4]. - The allocation of chips has shifted, with expectations of 40-60k chips for MSFT/GUC and 400k chips for Marvell in 2026 [3]. META - META is transitioning from MTIA v2 to MTIA v3, with expectations of ramping 100-200k chips for MTIA v2 and 200-300k chips for MTIA v3 in 2026 [2]. Non-CSPs - Companies like Apple, OpenAI, and xAI are entering the ASIC server market, with many expected to tape out in 2H25 and ramp in 2H26. These companies are likely to collaborate with Broadcom for high-end ASIC specifications [7][8][9]. Financial Projections - GUC's FY25 revenue is expected to exceed previous forecasts, driven by contributions from Google and crypto projects. However, concerns remain about FY26 growth without crypto revenue, with a projected 50% YoY growth in MP revenue [10][11]. - The revenue contribution from various ASIC projects in 2026 includes significant figures such as US$16,756 million from TPU v6p and US$2,616 million from Trainium 3 [18]. Additional Insights - The competitive landscape for ASIC design services is intensifying, with Broadcom and MediaTek entering the fray alongside existing players like Marvell and GUC [4][15]. - The potential impact of geopolitical factors on HBM2E clients was discussed, highlighting the resilience of Faraday in the face of possible restrictions [14]. Conclusion - The ASIC market is poised for significant growth, driven by advancements in technology and increasing demand from both CSPs and non-CSPs. Key players are adapting their strategies to navigate challenges and capitalize on emerging opportunities in the sector [1][5][7].

Investment Rating - The report assigns a "Buy" rating for the company with a target price of $133.02 based on a 20X PE for 2026 [4]. Core Views - The company is a leading manufacturer of ASIC servers and Ethernet switches, benefiting from the growth in AI inference demand, particularly from major cloud service providers in North America [2][3]. - The company is expected to recover from a short-term decline in server revenue due to Google's TPU product transition, with anticipated growth resuming in the second half of 2025 [2]. - The company is actively expanding its customer base for ASIC servers, having become a supplier for Meta and secured a project with a leading commercial AI company [2][3]. Summary by Sections 1. Deep Layout in ASIC Servers and Ethernet Switches - The importance of inference computing power is increasing, and the ASIC industry chain is expected to benefit from this trend [14]. - The company is positioned to benefit from the volume growth of ASIC servers and the expansion of its customer base, particularly with Google and Meta [27][31]. - The Ethernet switch business is poised to grow due to the trend of AI Ethernet networking, with increased demand for high-speed switches [32]. 2. Transition from EMS to ODM - The company is shifting from an EMS model to an ODM model, which is expected to enhance customer binding and improve profitability [47]. - The revenue from the hardware platform solutions (ODM) is projected to grow significantly, contributing to overall revenue growth [50][52]. - The company's gross margin and operating profit margin have been steadily increasing due to the growth of its ODM business [52]. 3. ASIC Industry and Company Alpha - The company is well-positioned in the ASIC server and Ethernet ODM switch market, benefiting from industry trends and new customer acquisitions [3][4]. - The company’s net profit is forecasted to grow significantly over the next few years, with expected profits of $593 million, $765 million, and $871 million for 2025, 2026, and 2027 respectively [4][8]. - The company is expected to gain market share as it expands its customer base and increases the complexity of its products [31]. 4. Profit Forecast and Investment Recommendations - The company’s revenue is projected to grow from $7.96 billion in 2023 to $15.89 billion in 2027, with a compound annual growth rate (CAGR) of approximately 14.1% [8]. - The EBITDA is expected to increase from $467 million in 2023 to $1.296 billion in 2027, reflecting strong operational performance [8].

Core Viewpoint - Nvidia holds a dominant position in the AI semiconductor field, with an estimated market share exceeding 80% in data center chips and products like ChatGPT and Claude [1] Group 1: Nvidia's Market Position - Nvidia's leadership in AI computing can be traced back nearly two decades, with the development of its CUDA software stack [1] - Despite being in a loss-making position for much of its early years, Nvidia's CEO Jensen Huang recognized the potential of GPUs for AI [1] - Nvidia's products now dominate a significant portion of global AI applications [1] Group 2: Competitors - AMD is Nvidia's largest competitor in the data center AI computing market, launching its MI300 GPU in 2024, over a year later than Nvidia's second-generation data center GPU [3] - Analysts predict AMD's market share to be less than 15%, but the company is focused on improving its software capabilities [3] - Custom-designed chips (ASICs) are emerging as a challenge to Nvidia, with a projected market size doubling by 2025 [4] - Major companies like Amazon and Google are designing their own chips, such as Amazon's Trainium and Google's TPU, to provide cheaper alternatives for AI workloads [6] Group 3: Emerging Threats - Huawei is considered a significant competitor to Nvidia, with reports indicating that its AI chip innovations are catching up [9] - Numerous startups are also challenging Nvidia with new chip designs and business models, including companies like Cerebras and Groq [11]