闻ण 经 吕 示 WSCN Economic Calendar | | 时间 | 内容 | 预期 | 前值 | | --- | --- | --- | --- | --- | | 11月3日 周一 | | | | | | 数据 | 09:45 | 中国 10月RatingDog制造业PMI | | 51.2 | | | 23:00 | 美国 10月ISM制造业指数 | 49.2 | 49.1 | | | 待定 | 美国参议院有关推进拨款法案停止政府"停摆"的下一次 表决最早将于11月3日晚开始 | | | | 事件 | 待定 | 香港金融科技周于11月3日至4日举行 | | | | | 待定 | 香港金管局：国际金融领袖投资峰会将于11月3至5日举行 | | | | 11月4日 周二 | | | | | | 数据 | 23:00 | 美国 9月耐用品订单环比终值 | | | | | 23:00 | 美国 9月JOLTS职位空缺(万人) | | 722.7 | | 事件 | 01:00 | 2027年FOMC票委、旧金山联储主席戴利发表讲话 | | | | 财报 | | Palantir、优步（Uber）、辉瑞 ...

Investment Rating - The industry investment rating is "Overweight" (maintained) [1] Core Views - The report highlights a positive outlook for the electronic industry, driven by macroeconomic factors and ongoing developments in AI, storage, and consumer electronics sectors [6][4] - The report notes that the electronic industry index experienced a decline of 1.94% during the week, with mixed performances across sub-sectors such as consumer electronics and semiconductors [3][4] - The report emphasizes the importance of monitoring key players in the storage, computing power, and consumer electronics sectors, particularly in light of recent price increases and technological advancements [6][5] Market Review - Domestic risk assets have generally declined, while overseas core assets remain strong, with significant gains in companies like Nvidia and Google [3] - The report mentions that the recent US-China trade negotiations have yielded positive results, contributing to a more favorable environment for the electronic sector [3] Industry Updates - The storage sector continues to see price increases, with NAND and DRAM supplies tightening, impacting consumer electronics pricing [6] - New AI products, such as the Quark AI glasses from Alibaba, are being introduced, indicating a growing trend in consumer electronics [4] - Nvidia's optimistic GPU shipment guidance and Google's increased capital expenditure forecast reflect strong demand in the computing power segment [5] Investment Recommendations - The report suggests focusing on leading companies in the storage, computing power, and consumer electronics sectors, including Luxshare Precision, Zhuhai CosMX, and Semiconductor Manufacturing International Corporation [6]

见闻财经吕历 WSCN Economic Calendar W 华尔街见闻 | 时间 | | 内容 | 预期 | 前值 | | --- | --- | --- | --- | --- | | 11月3日 周一 | | | | | | 数据 | 09:45 | 中国 10月RatingDog制造业PMI | | 51.2 | | 23:00 | | 美国 10月ISM制造业指数 | 49.2 | 49.1 | | 事件 | 待定 | 美国参议院有关推进拨款法案停止政府"停摆"的下一次 表决最早将于11月3日晚开始 | | | | 待定 | | 香港金融科技周于11月3日至4日举行 | | | | 待定 | | 香港金管局：国际金融领袖投资峰会将于11月3至5日举行 | | | | 11月4日 周二 | | | | | | 数据 | 23:00 | 美国 9月耐用品订单环比终值 | | | | 23:00 | | 美国 9月JOLTS职位空缺(万人) | | 722.7 | | 事件 | 01:00 | 2027年FOMC票委、旧金山联储主席戴利发表讲话 | | | | 财报 | | Palantir、优步 (U ...

Group 1: AI and Semiconductor Landscape - The AI wave continues to reshape the global semiconductor landscape, with computing power becoming the new oil of the era [2] - Nvidia dominates the AI training market with over 90% market share and a market capitalization exceeding $4.5 trillion, establishing itself as a leader in the semiconductor industry [2] - Competitors like AMD, Broadcom, and Intel are vying for market share, indicating a shift towards a multi-strong competitive landscape in the AI chip sector [2] Group 2: Intel's Strategic Shift - Intel has faced challenges in keeping up with competitors like TSMC in chip manufacturing and lacks competitive products in the AI market [3][4] - The establishment of the Central Engineering Group (CEG) aims to consolidate engineering talent and focus on custom chip business models, leveraging the ASIC trend [3][4] - Intel's strategy involves transforming from a pure chip manufacturer to a one-stop service provider for design, manufacturing, and packaging [4] Group 3: Intel's ASIC Business Potential - Intel's complete industry chain and IDM model provide a unique advantage in the ASIC market, allowing for a comprehensive service offering [4] - The ASIC business could position Intel as a significant service provider for large tech companies, tapping into various opportunities within the AI supply chain [4][5] Group 4: Competitive Challenges for Intel - Nvidia's recent $5 billion investment in Intel and the collaboration on custom data center products create both opportunities and competitive complexities for Intel [5] - Intel's future products may integrate Nvidia's GPU designs, raising questions about its own GPU development strategy [5][6] Group 5: Qualcomm's Aggressive Expansion - Qualcomm is aggressively entering the data center market with new AI accelerator chips, AI200 and AI250, challenging Nvidia and AMD in the AI inference space [8][10] - The AI200 system features significant memory capacity and power efficiency, positioning Qualcomm as a new competitor in the rapidly growing data center market [10][11] Group 6: Qualcomm's Strategic Focus - Qualcomm's chips are designed for inference rather than training, allowing it to avoid direct competition with Nvidia's strengths in training markets [10][12] - The company is also building a comprehensive software platform to support AI model deployment, enhancing its competitive edge in the data center space [12] Group 7: MediaTek's Entry into ASIC Market - MediaTek is emerging as a key player in the ASIC design services market, competing directly with leaders like Broadcom and securing orders from major tech companies [14][19] - The collaboration with Nvidia on the GB10 Grace Blackwell super chip highlights MediaTek's capabilities in high-performance chip design [15] Group 8: AMD's Strategic Developments - AMD is quietly developing an Arm-based APU, indicating a strategic shift towards mobile applications and the growing importance of the Arm architecture [21][22] - The company aims to explore new markets and avoid being locked out by Nvidia and the x86 ecosystem, reflecting a broader trend in the semiconductor industry [25][26] Group 9: Industry Trends and Future Outlook - The shift towards ASIC and Arm architectures is driven by the need for specialized computing power in AI applications, moving away from general-purpose GPUs [25][26] - Companies are redefining competition rules by focusing on capabilities rather than just products, indicating a decentralization of the AI chip industry [26]

计算机周报 20251102 从三季报看低位 AI Agent 机遇 2025 年 11 月 02 日 ⚫ 市场回顾 本周（10.27-10.31）沪深 300 指数下跌 0.43%，中小板指数上涨 0.87%，创业 板指数上涨 0.50%，计算机（中信）板块上涨 2.66%。板块个股涨幅前五名分别 为：海峡创新、神州信息、科大国创、深信服、格尔软件；跌幅前五名分别为： 佳发教育、熙菱信息、乐鑫科技、启明信息、开普云。 ⚫ 行业要闻 ➢ ⚫ 公司动态 ➢ 凌志软件：10 月 27 日消息，公司正筹划以发行股份并支付现金方式收购 凯美瑞德（苏州）信息科技股份有限公司控股权并募集配套资金。因关键参数尚 待审计评估，交易是否构成重大资产重组或关联交易仍未可知。公司股票自 2025 年 10 月 28 日起停牌，预计停牌不超过 10 个交易日。 ➢ 中新赛克：10 月 29 日消息，合计持股 4,832,060 股（占 2.83%）的股 东广东红土、南京红土、昆山红土及郑州百瑞（深创投一致行动人）因基金退出 需求，拟在本公告披露 15 个交易日后的 3 个月内，通过集中竞价与大宗交易 合计减持不超过上述股份（占总股本 ...

Group 1 - The core viewpoint of the article highlights the transformative impact of AI on the storage market, leading to a "super boom cycle" driven by increased demand for computing power, particularly for HBM (High Bandwidth Memory) as a key component in AI servers [2] - Major storage companies like Samsung, SK Hynix, and Micron are experiencing significant profit growth, with Samsung's Q3 net profit increasing by 21%, SK Hynix achieving its highest quarterly profit ever, and Micron's net profit tripling year-on-year [2] - The demand for traditional DRAM and NAND chips is also rising as data center giants like Amazon, Google, and Meta are ramping up purchases to enhance their AI inference and cloud service capabilities, leading to a tight supply across the storage market [2] Group 2 - Qualcomm's new AI200 and AI250 data center accelerators, set to launch in 2026 and 2027, are designed to compete with AMD and NVIDIA by offering higher efficiency and lower operational costs for large-scale generative AI workloads [4][5] - The AI200 system will feature 768 GB of LPDDR memory and utilize direct liquid cooling, with a power consumption of up to 160 kW per rack, marking a significant advancement in power efficiency for inference solutions [7] - Qualcomm's approach of using LPDDR memory, which is significantly cheaper than HBM, indicates a shift in AI storage technology, suggesting that LPDDR could become a viable alternative for inference workloads [8][13] Group 3 - The transition from HBM to LPDDR reflects a broader industry adjustment, as the number of inference workloads is expected to be 100 times greater than training workloads by 2030, highlighting the need for efficient data flow rather than just computational power [11] - LPDDR memory offers a cost advantage over HBM, with a reported 13 times better cost-performance ratio, allowing large language model inference workloads to run directly in memory, resulting in faster response times and lower energy consumption [13] - The introduction of LPDDR6, which promises higher bandwidth and lower power consumption, is expected to further enhance the capabilities of AI applications in mobile devices and edge computing [19][22] Group 4 - The increasing demand for LPDDR memory in data centers could lead to a supply crisis affecting the consumer electronics market, as major suppliers like Samsung, SK Hynix, and Micron may prioritize data center orders over smartphone production [16] - This shift could result in higher memory costs and longer delivery times for smartphone manufacturers, potentially forcing them to compromise on memory configurations or increase prices for mid-to-high-end devices [17] - The competition for LPDDR memory could create a scenario where data centers utilize mobile memory while consumers face shortages and price hikes, illustrating the paradox of technological advancement benefiting enterprise solutions at the expense of consumer interests [27][28]

QUALCOMM Incorporated (NASDAQ:QCOM) is one of the AI Stocks in the Spotlight This Week. On October 28, Citi raised the firm’s price target on the stock to $175 from $170 and kept a Neutral rating on the shares. The rating follows QCOM’s announcement of two products for artificial intelligence, along with a deal with Saudi Arabia’s startup Humain. The company unveiled two artificial intelligence chips for data centers, on October 27, which will be available next year. The two new chips, known as AI200 and ...

Key Takeaways QUALCOMM, Microsoft, and Meta are spotlighted as November's AI momentum stocks. The Driehaus strategy favors stocks showing strong price trends and solid earnings growth.The screener narrowed 7,743 stocks to 120 using earnings and momentum-based parameters. Traditionally, November has been a strong month for the stock market. At the same time, the artificial intelligence (AI) sector continues to grow quickly, with Statista projecting that its market size will reach US$1.68 trillion by 2031, at ...

This article offers a top-down analysis of the S&P 500 Index based on valuation, quality and momentum metrics across GICS sectors. It may also help analyze funds tracking the index, such as SPDR® PortfolioFred Piard, PhD. is a quantitative analyst and IT professional with over 30 years of experience working in technology. He is the author of three books and has been investing in data-driven systematic strategies since 2010. Fred runs the investing group Quantitative Risk & Value where he shares a portfolio ...

Qualcomm (QCOM) enters the final stretch of 2025 on strong footing. The stock is up roughly 18% year to date, giving the company a market capitalization of about $191 billion. While the upcoming Nov. 5 earnings report will offer the latest read on fundamentals, the larger story is Qualcomm’s ongoing pivot toward artificial intelligence, an evolution that’s quietly redefining its role in the semiconductor landscape. From Mobile Powerhouse to AI Innovator Qualcomm’s recent unveiling of the AI200 and AI250 ...