相关标的 本周观点 相关标的：东阳光、寒武纪、海光信息、润泽科技、利通电子、豫能控股、协创数据、华丰科技、大位科技、网宿科 技、神州数码、云天励飞、润建股份、亿田智能、科华数据、中芯国际、华虹半导体、中科曙光、禾盛新材、奥飞数 据、优刻得、首都在线、云赛智联、瑞晟智能、浪潮信息、潍柴重机、欧陆通等。 风险提示 行业竞争加剧的风险；技术研发进度不及预期的风险；特定行业下游资本开支周期性波动的风险。 敬请参阅最后一页特别声明 1 Oracle 智算 ROI 兑现，腾讯云提价验证需求。1）2026 年 3 月 10 日，甲骨文发布 FY26Q3 业绩，营业收入、 营业利润、云业务收入均超预期，AI 基础设施建设收入大增 243%，通过创新客户预付款与自带硬件的交易模式 新增 290 亿美元合同，2026 财年三季度末公司 RPO 高达 5530 亿美元，算力延续高景气。2）腾讯云智能体开 发平台宣布自 2026 年 3 月 13 日起调整部分模型的计费策略，GLM 5、MiniMax 2.5、Kimi 2.5 等模型将结束免 费公测，混元系列模型涨价超 400%，云计算服务商开启涨价周期。 训推共振，算力需求极速释 ...

Company Overview - Advanced Micro Devices, Inc. (NASDAQ:AMD) produces processors, graphics cards, and AI chips for various applications including computers, servers, and gaming systems [2] - The company's notable products include Ryzen, Radeon, and EPYC, catering to the growing AI market and data centers [2] Market Position - Under CEO Lisa Su, AMD has transformed from the brink of bankruptcy to a leader in high-performance computing, gaining market share from Intel and becoming a credible No. 2 in GPUs behind Nvidia [2] - AMD's stock is viewed as a significant investment opportunity, with management projecting approximately $10 in Earnings per Share (EPS) for FY2027E and over $20 in EPS by 2030E [2] Investment Sentiment - White Falcon Capital Management has included AMD among its top positions, indicating confidence in the company's future performance [2] - Despite the potential of AMD, some analysts suggest that other AI stocks may offer greater upside potential with less downside risk [3]

Core Viewpoint - AMD is often misunderstood as primarily a CPU player and a secondary competitor to Nvidia in the GPU market, which is considered an incorrect perception [1]. Group 1: Company Analysis - AMD is positioned as a strong player in both CPU and GPU markets, challenging the notion that it is merely a secondary player to Nvidia [1]. - The investment strategy focuses on identifying high-potential winners before they break out, emphasizing asymmetric opportunities with a potential upside of 3-5 times the downside risk [1]. Group 2: Investment Strategy - The investment approach leverages market inefficiencies and contrarian insights to maximize long-term compounding while protecting against capital impairment [1]. - A strong margin of safety is prioritized to safeguard against capital impairment, with a 2-3 year investment horizon to endure market volatility [1].

Is AMD stock's latest dip a warning sign or a buying chance?# Is AMD stock's latest dip a warning sign or a buying chance?Artificial intelligenceAuthorDevesh KumarMar 13, 2026, 18:07 PM- Analysts still see upside with a Buy consensus and $265 price target.- Export control fears on AI chips pressure AMD and Nvidia shares.- AMD stock falls as oil surge and geopolitical tensions hit tech sentiment.Advanced Micro Devices (NASDAQ: AMD) plunged by nearly 2% in Friday afternoon trading, extending a shaky stretch f ...

EnglishItalianoEspañolPortuguêsDeutschالعربيةFrançaisImportant DisclaimersFXEmpire is owned and operated by Empire Media Network LTD., Company Registration Number 514641786, registered at 7 Jabotinsky Road, Ramat Gan 5252007, Israel. The content provided on this website includes general news and publications, our personal analysis and opinions, and materials provided by third parties. This content is intended for educational and research purposes only. It does not constitute, and should not be interpreted a ...

Core Insights - The article compares Taiwan Semiconductor Manufacturing Company (TSMC) and Advanced Micro Devices (AMD) in terms of investment potential, particularly in the context of the AI revolution and semiconductor market dynamics [1][2] Company Overview - TSMC manufactures approximately two-thirds of the global foundry market and is crucial for advanced process nodes that power AI accelerators from major companies like Nvidia, AMD, Apple, and Intel [1] - AMD designs AI accelerators and data-center chips, boasting a projected 77% return in 2025, but has narrower exposure compared to TSMC [1] Financial Metrics - TSMC trades at a lower earnings multiple in the mid-20s, while AMD has a higher valuation with a price-earnings ratio exceeding 30 [1] - TSMC is expected to achieve a 60% compound annual growth rate (CAGR) in AI-linked revenue over the next several years, driven by increasing demand for AI chips [1][2] Business Models - TSMC's business model allows it to diversify its AI exposure across various sectors, including data centers, smartphones, PCs, and automotive, providing a more resilient earnings base [2] - AMD's success is more dependent on the pace of data center AI adoption and its ability to execute on its accelerator roadmap, which presents certain risks [2] Investment Outlook - For long-term investors, TSMC is viewed as a potentially better investment due to its disciplined capital allocation, broad customer base, and reasonable valuation [2] - The article suggests that TSMC's role as a central player in the semiconductor supply chain positions it favorably to benefit from the ongoing AI infrastructure spending [2]

AMD gets that what powers your business shouldn't need to be powered often. Combine workday battery life with up to 55 TOPS of AI performance on AMD Ryzen AI PRO processors. ...

March 12, 2026 05:10 PM GMT Investor Presentation | Asia Pacific Global and China AI GPU Industry – Can China Close the Gap with the US? Morgan Stanley Asia Limited+ Ethan Jia Research Associate Ethan.Jia@morganstanley.com +852 3963-2287 Greater China Technology Semiconductors Asia Pacific Industry View Attractive M Foundation Morgan Stanley Taiwan Limited+ Charlie Chan Equity Analyst Charlie.Chan@morganstanley.com +886 2 2730-1725 Daniel Yen, CFA Equity Analyst Daniel.Yen@morganstanley.com +886 2 2730-2863 ...

公众号记得加星标⭐️，第一时间看推送不会错过。 随着人工智能集群规模的不断扩大，它们开始使用光互连来实现横向扩展连接。然而，它们 可能很快就会需要使用光互连来实现纵向扩展连接。为了应对这一挑战，超大规模数据中心 运营商微软、Meta 和 OpenAI与硬件设计公司 AMD、博通和英伟达合作，共同开发了一种 与协议无关的、适用于人工智能集群的纵向扩展互连技术。 为此，本周这些公司成立了光计算互连（OCI:optical compute interconnect）多源协议（MSA： Multi-Source Agreement ）小组，旨在为大型人工智能系统和机架内部的扩展互连定义一个开放的 光连接规范，使超大规模数据中心能够使用光缆而非铜缆，以高速和可预测的功耗连接更多加速器。 实际上，这意味着该联盟将开发一个通用的光物理层（PHY）和统一的组件，以支持各种协议，例如 AMD和博通的UALink协议以及英伟达的NVLink协议。 用于人工智能机架和扩展集群的短距离光链路的OCI连接技术将定义一个基于NRZ信令和波分复用 (WDM)的通用物理层(PHY)，初始配置为4个波长×50 Gb/s（单向200 Gb/s） ...

Core Insights - The demand for tokens and AI computing is experiencing explosive growth, driven by advancements in model capabilities and rapid development of intelligent workflows, leading to a surge in user adoption and total token demand [3] - Anthropic has added up to $6 billion in annual recurring revenue (ARR) in February, primarily due to the widespread application of its AI coding platform, Claude Code [3] - Despite significant investments in AI infrastructure over the past few years, available computing resources remain scarce, with rising prices for on-demand GPUs [3][5] Group 1: AI and Semiconductor Demand - The demand for TSMC's N3 logic wafers is primarily driven by consumer electronics, but by 2026, AI will become the main source of demand for N3 wafers as the industry transitions to this technology [10][18] - By 2026, AI-related applications are expected to account for nearly 60% of total N3 chip production, with the remaining 40% for smartphones and CPUs [18] - The transition to N3 technology is being accelerated by major companies like NVIDIA, AMD, Google, and AWS, all of which are moving their AI accelerators to N3 nodes [11][17] Group 2: Supply Chain Constraints - TSMC is facing a silicon chip shortage that is limiting its ability to meet the growing demand for N3 wafers, despite plans to expand capacity [5][23] - The effective utilization rate of N3 processes is expected to exceed 100% by the second half of 2026, as TSMC maximizes its existing production lines [23] - The shortage of memory, particularly DRAM and HBM, is becoming a critical constraint, with HBM capacity experiencing rapid growth due to increased memory requirements for AI accelerators [30][36] Group 3: Market Dynamics - The smartphone market may become a release valve for N3 wafer demand, as expected low growth in smartphone shipments could free up capacity for AI accelerators [26] - If smartphone N3 wafer production is reduced, it could potentially allow for the production of additional AI chips, such as NVIDIA's Rubin GPUs and Google's TPU v7 [26][27] - The competition for HBM and DRAM is intensifying, with memory suppliers needing to adjust their production strategies in response to changing market demands [38][40]