Core Viewpoint - Company Mulinson highlights the significant potential of Micro-LED technology in both display and optical interconnection fields, driven by the explosive growth of AI computing power and the increasing demand for high-speed optical interconnection in data centers [1] Group 1: Micro-LED Technology Potential - Micro-LED is identified as a potential core light source that can significantly enhance the performance of optical modules [1] - The relationship between display and optical interconnection is described as complementary rather than opposing, sharing core technologies such as packaging and driving [1] Group 2: Strategic Positioning - The expansion into optical interconnection will not divert resources but will instead broaden the application boundaries of Micro-LED, extending from consumer electronics displays to AI infrastructure [1] - The company's future strategy involves simultaneous development in both display and optical interconnection, aligning with technological evolution and market demand to maximize the commercial value of Micro-LED [1]

1. Report Industry Investment Rating - No relevant information provided in the content 2. Core Viewpoints of the Report - Although there is short - term adjustment pressure, A - shares have strong long - term support, and the current point still has a high probability of winning. The short - term adjustment in the technology and financial sectors is normal, and there is potential for medium - and long - term growth. The financial brokerage sector has strategic allocation value and potential rebound space as long as policies remain favorable and capital market reforms continue [5]. - Due to the rising risk - aversion sentiment before the National Day holiday, the high - level technology sector may continue to decline last week. However, in the long - term, it is recommended to "hold stocks during the holiday" and focus on four types of allocation directions [6]. 3. Summary by Relevant Catalogs Market Review - **Market Performance**: Most major market indices rose last week, with the Science and Technology Innovation 50 having the largest increase of 6.47%. In the large - scale industry, the Information Technology Index and the Materials Index performed relatively well, with weekly changes of 1.71% and 0.80% respectively, while the Daily Consumption Index and the Healthcare Index performed weakly, with weekly changes of - 2.39% and - 2.11% respectively. Among the 30 Shenwan primary industries, 7 industries rose. The industries with larger increases were Power Equipment, Non - Ferrous Metals, and Electronics, rising 3.86%, 3.52%, and 3.51% respectively; the industries with larger declines were Social Services, Commerce and Retail, and Light Industry Manufacturing, falling 5.92%, 4.32%, and 2.71% respectively [7][8][15][17] - **Trading Volume**: The average daily trading volume of Wind All - A last week was 2313.193 billion yuan (the previous value was 2517.846 billion yuan), which was at an extremely high historical level (94.70% of the three - year historical quantile) [20] - **Valuation Tracking**: As of September 26, 2025, the valuation (PE_TTM) of Wind All - A was 22.12, an increase of 0.02 from the previous week, and it was at the 89.90% quantile of the historical level (in the past 5 years). Among the 30 Shenwan primary industries, the valuations (PE_TTM) of 7 industries were repaired [24] Market Observation - **How to View the Recent Decline in the Technology and Financial Sectors**: Last week, the market style continued to show differentiation. In the technology sector, there was a shift from high - performing to low - performing stocks, and the cyclical assets were generally weak. Although there was short - term adjustment pressure, A - shares had strong long - term support. From the capital side, there was potential for new funds to enter the market, the pressure of industrial capital withdrawal eased, and the willingness to finance and go long was stable. From the news side, large - scale capital investment and positive IPO news provided momentum for the technology sector. The adjustment of the financial brokerage sector was likely a process of long - term funds gradually deploying at low prices, and it had strategic allocation value [5] - **How to View the Recent Upturn in the A - share Technology Sector**: Investment advice was to "hold stocks during the holiday" and focus on four types of allocation directions: the main line of technological innovation, the "anti - involution" theme, the sectors benefiting from the easing of Sino - US relations, and the brokerage sector [6] Global Economic Calendar - Domestic economic data to be released this week include China's official comprehensive PMI and China's Caixin Manufacturing PMI. Overseas economic data include changes in the number of US ADP employees, the Atlanta Fed's GDPNow economic growth forecast, the US U6 unemployment rate (%), seasonally adjusted changes in non - farm payrolls, the US unemployment rate (%), and the US Markit Composite PMI [26]

Core Insights - The report indicates that the growth style of the market has shone brightly in September, aligning with previous predictions of reaching a peak. It suggests that in October, the growth style will continue to thrive but with increased volatility, advocating for a balanced allocation between cyclical and technology sectors [1][2][3] Sector Rotation: Focus on Broad Growth Direction, Cyclical and Consumer Sectors - The market style is leaning towards mid and large-cap stocks, with growth outperforming value. The cyclical and consumer sectors are expected to be relatively dominant in October [2][12] - The probability of a Federal Reserve rate cut in October remains high at 91.9%, which is anticipated to create a favorable financial environment for growth stocks [2][33] Industry Allocation: Focus on Technology, Cyclical, and Large Financial Sectors - The top ten industries based on scoring include electric power equipment and new energy, non-ferrous metals, machinery, communication, agriculture, electronics, non-bank financials, basic chemicals, consumer services, and computers [4][46] - The report emphasizes a "win rate" approach, favoring investments in electric power, electronics, non-ferrous metals, and basic chemicals, while a "odds" approach suggests focusing on underperforming sectors like brokerage firms and real estate [4][47] Next Month's Sector Allocation Recommendations - The report recommends a focus on broad growth styles, particularly in cyclical and consumer sectors. It highlights the importance of investing in electric power, electronics, non-ferrous metals, and basic chemicals, while also considering underperforming sectors like brokerage firms and real estate [5][46]

Core Insights - Nvidia has made significant investments recently, including $5 billion in Intel and up to $100 billion in OpenAI, which have been positively received by the market despite some skepticism regarding potential "circular revenues" between Nvidia, OpenAI, and Oracle [1][2][30] - CEO Jensen Huang believes that investing in OpenAI is a smart opportunity, as he anticipates OpenAI could become a multi-trillion dollar hyperscale company [1][8] - Huang emphasized that Nvidia's current competitive advantage is broader than it was three years ago, with predictions that Nvidia could be the first company to reach a $10 trillion market cap [2][40] Investment and Market Dynamics - Nvidia's revenue from inference has surpassed 40%, driven by advancements in reasoning chains, which Huang describes as an industrial revolution [4][5] - The partnership with OpenAI is not a prerequisite for investment but rather an opportunity that aligns with Nvidia's expertise in AI infrastructure [9][30] - Huang highlighted the exponential growth in AI applications and the corresponding increase in computational demand, suggesting that the AI market could grow from $100 billion in 2026 to at least $1 trillion by 2030 [22][26] Technological Advancements - Huang outlined three scaling laws: pre-training, post-training, and inference, indicating a shift towards more complex AI systems that require significant computational resources [6][7] - The transition from general computing to accelerated computing and AI is crucial, as traditional CPU-based systems are being replaced by GPU-driven infrastructures [15][18] - Nvidia's focus on extreme co-design across hardware and software is essential for maintaining performance improvements, especially as Moore's Law becomes less relevant [34][37] Competitive Landscape - Huang asserts that Nvidia's moat has widened due to increased competition and the rising costs of chip manufacturing, making it difficult for competitors to achieve similar levels of performance without extensive collaboration [40][41] - The company is positioned as a leader in the AI infrastructure space, with a focus on building comprehensive systems rather than just individual chips [42][47] - Huang believes that even if competitors offer cheaper ASIC chips, the total cost of ownership for Nvidia's systems remains more favorable due to superior energy efficiency and performance [48][51]

摩根士丹利此前表示，光模块行业的基本面利好已被广泛知晓并充分反映在股价中，建议投资者在市场 情绪高涨时适度获利了结。大摩认为，尽管AI基础设施需求增长前景依然积极，但当前市场热情水平 难以持续。报告指出，长飞光纤高端光纤业务有亮点，但业绩反转仍需验证。 长飞光纤（601869）光缆(06869)再跌超7%，盘中低见50.75港元，较月内高点65港元已跌超20%。截至 发稿，跌7.26%，报51.1港元，成交额11.2亿港元。 消息面上，9月19日，Draka Comteq B.V.通过大宗交易出售长飞光纤光缆3759.53万股H股，占总股本 5%，减持后H股数量为零。值得注意的是，Draka Comteq B.V.是长飞光纤发起人之一。截至今年3月 底，该股东的持股比例仍高达23.73%，从今年4月份开始，该股东连续减持公司H股股票，直至本次清 仓。根据港交所披露的减持均价粗略估计，其累计减持套现超51亿港元。 ...

消息面上，9月19日，Draka Comteq B.V.通过大宗交易出售长飞光纤光缆3759.53万股H股，占总股本 5%，减持后H股数量为零。值得注意的是，Draka Comteq B.V.是长飞光纤发起人之一。截至今年3月 底，该股东的持股比例仍高达23.73%，从今年4月份开始，该股东连续减持公司H股股票，直至本次清 仓。根据港交所披露的减持均价粗略估计，其累计减持套现超51亿港元。 摩根士丹利此前表示，光模块行业的基本面利好已被广泛知晓并充分反映在股价中，建议投资者在市场 情绪高涨时适度获利了结。大摩认为，尽管AI基础设施需求增长前景依然积极，但当前市场热情水平 难以持续。报告指出，长飞光纤高端光纤业务有亮点，但业绩反转仍需验证。 智通财经APP获悉，长飞光纤光缆(06869)再跌超7%，盘中低见50.75港元，较月内高点65港元已跌超 20%。截至发稿，跌7.26%，报51.1港元，成交额11.2亿港元。 ...

（1）Vertiv的公司背景 Vertiv是全球最大的 液冷和电源管理提供商之一，属于 AI基础设施领域的稀缺标的。 公司约80%的营收来自数据中心业务，远超同行，业务高度聚焦，使其能最大程度受益于AI算力建设浪潮。 Vertiv与NVIDIA的深度战略合作构筑了坚固的护城河。通过联合下一代芯片技术，Vertiv能提前6-12个月布局适配下一代AI芯片（如Blackwell及Rubin平 台）的基础设施解决方案，抢占市场先机。 当竞争对手还在为新芯片进行研发时，Vertiv已拥有经过验证的成熟解决方案。 作者 | Alpha Engineer 今天继续给大家带来 「一页纸」 讲透美股公司系列。 对国内投资者而言，美股研究资料相对匮乏，导致认知大多停留在几家全球科技巨头，但其实美股存在大量的"隐形冠军"，都录得相当不错的收益。 这是一个非常「有钱景」的方向，我会借助 AlphaEngine的帮助，帮你跨越美股研究的信息鸿沟，每天挖掘一个潜在的美股财富密码。 本期的主角是 全球液冷龙头Vertiv 。 Vertiv的前身是艾默生电气旗下的网络能源部门（Emerson Network Power）。 2016年，私 ...

Core Insights - OpenAI and NVIDIA announced a collaboration where NVIDIA will invest $100 billion in computing power to support OpenAI's next-generation AI infrastructure, deploying 10 gigawatts of NVIDIA systems, which is described as the largest AI infrastructure project in history [1][2] - This partnership aims to optimize OpenAI's models and infrastructure software while expanding NVIDIA's hardware and software roadmap, complementing their existing collaborations with major partners like Microsoft and Oracle [1][2] - The investment reflects a broader trend in the tech industry, where AI infrastructure has become a focal point for major companies and investors, with global data center investments projected to reach $7 trillion by 2025 [2][3] Company Insights - NVIDIA's stock price rose by 4% following the announcement of the investment, indicating positive market sentiment towards the collaboration [1] - The partnership is expected to address a significant computing gap, equivalent to millions of NVIDIA H100 GPUs, which is crucial for training and running large language models [2][3] - OpenAI's active user base has surpassed 700 million, showcasing the widespread application of its AI systems across various sectors [8] Industry Insights - The demand for AI infrastructure, including data centers and GPU clusters, is projected to grow exponentially, with Deloitte estimating that the power demand for AI data centers in the U.S. could increase over 30 times by 2035 [3][6] - The shift towards decentralized AI infrastructure is evident as companies deploy AI models closer to users for faster response times, changing the landscape of the data center market [3][4] - The collaboration between OpenAI and NVIDIA signifies a transition of AI from a conceptual phase to a practical productivity tool, reflecting a consensus on the long-term value of AI in the tech industry [7][8]

Core Viewpoint - Alibaba Cloud has launched seven new large model technology products at the 2025 Yunqi Conference, covering various fields including language, speech, vision, multimodal, and coding models [3][5][7]. Group 1: New Model Releases - The flagship model Qwen3-Max has been officially released, featuring a pre-training data volume of 36T and over one trillion parameters, significantly enhancing coding capabilities and agent tool usage [5]. - The next-generation model architecture Qwen3-Next and its series have been introduced, with a total of 80B parameters, achieving performance comparable to the flagship Qwen3 model with 235B parameters [6]. - The Qwen3-Coder programming model, Qwen3-VL visual understanding model, and Qwen3-Omni multimodal model were also showcased [7][10][11]. Group 2: Infrastructure Expansion - Alibaba Cloud announced a new round of global infrastructure expansion, establishing cloud computing regional nodes in Brazil, France, and the Netherlands, and expanding data centers in Mexico, Japan, South Korea, Malaysia, and Dubai [16]. - Currently, Alibaba Cloud operates in 29 regions with 91 available zones, having launched eight new AI and cloud data centers this year [16]. - Alibaba Group's CEO stated that the company is actively advancing a three-year plan to invest 380 billion in AI infrastructure, with a tenfold increase in global data center energy consumption expected by 2032 compared to 2022 [16]. Group 3: AI Infrastructure Developments - The new generation of Panjiu 128 super node AI servers has been released, designed for high density, performance, and availability, supporting up to 128 AI computing chips per cabinet [18]. - The new high-performance network HPN 8.0 has increased storage network bandwidth to 800Gbps and GPU interconnect bandwidth to 6.4Tbps, supporting efficient interconnection for large GPU clusters [20]. - The intelligent computing cluster has been designed to support stable interconnection for 100,000 GPUs, enhancing the capabilities of Alibaba Cloud's general computing services [21]. Group 4: Partnerships and Collaborations - Alibaba Cloud has partnered with NVIDIA in the Physical AI field, integrating NVIDIA's software stack into its AI platform to provide comprehensive services for data preprocessing, simulation data generation, and model training [22][24]. - Lenovo's Baijing Intelligent Agent has integrated the Qwen3 model, enhancing its capabilities in language understanding and multi-turn reasoning [26]. - Softcom Power showcased its flagship N810I A2 series server, based on Intel's fourth-generation scalable processors, supporting various AI acceleration cards [28].

云栖大会上，吴泳铭预测，未来五年全球AI累计投入金额将超过4万亿美元，"这是人类历史上最大的算 力和研发投入"。对比2022年生成式AI元年，2032年阿里云全球数据中心的能耗规模将提升10倍。 吴泳铭说，阿里云是少数能做到软硬件垂直整合的AI云计算平台。在硬件和网络层面，阿里云自研核 心存储系统、网络架构、计算芯片等；阿里云同时拥有业内领先的通义模型，从而实现基础设施架构设 计与模型架构设计的协同创新。 云栖大会上，阿里云智能集团首席技术官周靖人发布了7款通义大模型，以及全新升级的阿里云多款AI Infra产品和服务。 "行业对AI基础设施的需求远超我们的预期。"9月24日的2025云栖大会上，阿里巴巴集团董事兼首席执 行官吴泳铭透露，阿里正在推进3800亿元的AI基础设施建设，并计划追加更大的投入。 受此消息影响，截至9月24日港股收盘，阿里巴巴（09988.HK）股价大涨9.16%，报174.0港元/股，创下 近四年来新高。 此前2月，吴泳铭曾宣布，阿里将在未来三年投入超过3800亿元，用于建设云和AI硬件基础设施，投资 总额超过去十年的总和。 AI基建（AI Infra）之于AI，如同电⽹之于电⼒。云 ...