公众号记得加星标⭐️，第一时间看推送不会错过。 Counterpoint Research表示，定制 AI 芯片的竞赛正在加速，超大规模数据中心运营商正在扩大内部 芯片规模以满足激增的需求。 据 Counterpoint Research 报道，包括Alphabet Inc. 旗下的 Google、Amazon.com, Inc. 旗下的 Amazon Web Services、Microsoft Corp 、OpenAI、ByteDance和Apple Inc 在内的领先云和人工 智能提供商正在迅速扩大基于专用集成电路 (ASIC) 的人工智能服务器计算系统的部署，以处理专门 的训练和推理工作负载。 Counterpoint Research 预测，在 2024 年至 2027 年间，排名前 10 的超大规模数据中心运营商的 AI 服务器计算 ASIC 出货量将增长两倍，这主要得益于对支持 Gemini 的 Google 张量处理单元 (TPU) 基础设施的需求激增、AWS Trainium 集群的持续扩展，以及Meta Platforms Inc. 的 MTIA 和微软的 Maia 芯片在构建内部芯片产品 ...

Marvell Technology, Inc. (NASDAQ:MRVL) is among Goldman Sachs’ top semiconductor stock picks. On January 14, RBC Capital Markets initiated coverage on Marvell Technology, Inc. (NASDAQ:MRVL) with an Outperform rating. The firm set a $105 price target on the shares citing Marvell’s dominance in the data center market. Marvell (MRVL) Expands Role in Cloud Infrastructure and Semiconductor Innovation According to Srini Pajjuri, the lead analyst, Marvell appears to have robust orders for the AWS Trainium3 chip ...

In this article, we will look at the Goldman Sachs Semiconductor Stocks: Top 12 Picks.The artificial intelligence super cycle is alive and well despite reports of a rotation out of big tech. While market skeptics are betting on a broad exit from the ‘Magnificent Seven,’ a wave of positive earnings from the semiconductor sector signals that there are still more legs to the AI race. Their long-term outlook also remains strong as hyperscalers increasingly pour money into AI data centers.According to Victoria F ...

就 AI服务器运算 ASIC的出货与部署量来说，Google TPU将持续扮演产业「量能基石」的角色， 主要来自 Gemini模型自云端延伸至边缘端的采用与使用快速成长，所带动的庞大运算需求。 如果您希望可以时常见面，欢迎标星收藏哦~ 研调机构Counterpoint Research调查，全球前十大业者的 AI服务器运算 ASIC服务器出货量，预 计将于 2024至 2027年间成长三倍。其中，AI服务器运算 ASIC市场从 2024年高度集中的双寡占 结构，即Google 64%、AWS 36%，逐步演进为更为多元的格局；此外，随着 Meta与微软扩大内 部芯片规模，预期至2027年将出现具规模的出货量成长。 Jim Keller：RISC-V一定会胜出 全球市值最高的10家芯片公司 Counterpoint Research研究副总裁Neil Shah表示，企业内部 AI服务器运算 ASIC的设计成长，正 验证「内部客制化 XPU时代」的来临。AI加速器正针对特定训练或推论工作负载量身打造，市场 结构也逐步从单一仰赖通用 GPU，走向多元化。 Counterpoint Research认为，即使Goog ...

Core Viewpoint - Marvell Technology's stock performance has lagged behind the broader semiconductor market during the AI boom, but this may change as the focus shifts towards inference and energy efficiency, areas where Marvell excels [1][2]. Group 1: AI Transition - The AI industry is expected to transition from "brute-force training" to Agentic AI and inference by 2026, which requires lower latency and significantly higher energy efficiency compared to training [1]. - Marvell's custom XPU (AI accelerator) is designed for these specific workloads, optimizing for "tokens per watt," making it crucial for cloud giants aiming to scale services to billions of users [2]. Group 2: Interconnect Innovations - A critical infrastructure change by 2026 is the limitation of copper interconnects, which face challenges in heat, power consumption, and signal degradation as AI data centers expand [2]. - Marvell is investing heavily in Co-Packaged Optics (CPO) and has acquired Celestial AI for $3.25 billion to integrate optical interconnects directly into chip packaging, addressing data transfer bottlenecks without excessive power and heat [2][3]. Group 3: Customer Diversification - Marvell has historically been criticized for its reliance on Amazon Web Services (AWS), which increased earnings volatility and limited market recognition of its AI potential [3]. - The company is diversifying its customer base, having secured custom chip design orders from three of the four major U.S. cloud providers, with new projects expected to accelerate in 2026 [3][4]. Group 4: Financial Outlook - Marvell's trading valuation is significantly lower than peers, with an expected revenue growth of 42% in 2026 and 22% in 2027, despite a current operating margin of about 15% [4]. - The rationale for a re-rating lies in improving this margin structure, as increasing data center revenue and customer diversification could transform Marvell from a cyclical component supplier to a structural AI infrastructure platform [4].

Core Insights - The cost of 10GbE (10 Gigabit Ethernet) has significantly decreased, and integration has become much easier, indicating that the industry is on the verge of a breakthrough [1] Group 1: 10GbE Controller Market - A notable change in 2026 is the rising demand for 10Gbase-T controllers, which face challenges due to higher link noise requiring more signal processing capabilities [2] - Realtek's RTL8127 is a new low-cost 10Gbase-T controller with a single-chip cost slightly above $10, targeting high-performance products rather than low-end options [3] - The RTL8127 can connect using PCIe Gen4 x1 channels, allowing efficient integration into low-cost platforms, enabling 10GbE speeds at a minimal additional cost [5][7] Group 2: Competitive Landscape - Marvell's AQC113/AQC113C, acquired from Aquantia, is a long-standing choice for low-cost 10Gbase-T adapters, supporting multiple speeds and providing affordable 10GbE network solutions [8][10] - Intel's E610, released in 2025, is positioned as a server-grade adapter, but its higher cost and initial bugs have led some manufacturers to opt for Realtek solutions instead [11][13][15] - Intel's X710-T4L and X710-T2L series support multi-gig speeds, making them a reliable choice for users needing versatile network cards [16][18] Group 3: 10GbE Switches and Gateways - The introduction of low-cost 10GbE switches and gateways is a significant trend in 2026, with prices dropping to less than a third of previous models [19][20] - There is an increasing presence of 10GbE gateways in the market, despite the dominance of lower-end 1GbE options [21] - Major manufacturers are updating their product lines to include SFP+ and 10Gbase-T versions, reflecting the growing adoption of 10GbE technology [26][28] Group 4: Challenges in 10GbE Adoption - One of the main challenges for 10GbE in 2026 is the efficient use of PCIe channels, especially as the industry transitions to PCIe Gen5, which can support higher bandwidths [29][31] - The competition for silicon supply between low-cost 10GbE devices and higher-end data center chips poses a significant challenge for manufacturers [36] Group 5: Testing and Measurement - The industry is evolving its testing methodologies for 10GbE devices, with advancements in hardware and testing capabilities allowing for more accurate assessments [37][40] - The ability to generate high traffic volumes and conduct detailed latency tests is improving, which is crucial for evaluating the performance of new 10GbE products [54][55] Conclusion - The ecosystem for 10GbE is finally catching up to its initial promises, with a wave of new products entering the market and a series of tests planned for 2026 to further explore 10GbE and beyond [56][58]

Now you can get access to the latest and highest-quality analysis of recent Wall Street buying and selling ideas with just one subscription to Beyond the Wall Investing ! There is a free trial and a special discount of 10% for you. Join us today!Daniel Sereda is chief investment analyst at a family office whose investments span continents and diverse asset classes. This requires him to navigate through a plethora of information on a daily basis. His expertise is in filtering this wealth of data to extract t ...

Core Insights - Marvell Technology has lagged behind the semiconductor market during the AI boom but may benefit as AI infrastructure evolves towards efficiency and interconnects, aligning with its strengths [2] Inference Shift - The AI industry is expected to transition from "brute force" training to inference in 2026, requiring lower latency and greater power efficiency, which Marvell's custom XPUs are designed for [4] - Custom AI revenue for Marvell is projected to reach $1.8 billion in 2026, with a focus on 3nm and 2nm nodes for enhanced efficiency [4] Connectivity Innovations - Marvell is investing in Co-Packaged Optics (CPO) and has acquired Celestial AI for $3.25 billion to integrate optical interconnects, addressing data movement challenges in large-scale AI systems [5] - The shift from copper to optical interconnects could position Marvell as a leader in next-generation AI cluster design [5] Customer Diversification - Marvell has been criticized for its reliance on Amazon Web Services, but it is diversifying by securing custom silicon design wins with three of the four major U.S. hyperscalers [6] - Compatibility with Nvidia's NVLink fabric enhances Marvell's adoption potential in AI ecosystems, reducing earnings variability and improving market perception [6] Financial Outlook - Marvell is trading at approximately 22x FY'27 consensus earnings, a discount compared to peers, despite a projected revenue increase of 42% in 2026 and 22% in 2027 [7] - The company’s operating margins are around 15%, and improving these margins alongside revenue growth could lead to a re-rating of its stock [7]

智通财经APP获悉，当地时间周四，迈威尔科技(MRVL.US)宣布其针对人工智能芯片初创公司 Celestial AI 的收购要约已收到美国联邦贸易委员会(FTC)发出的提前终止(Early Termination)通知。这一进展意味 着该项重大并购案顺利通过了《哈特-斯科特-罗迪诺反垄断改进法案》(HSR Act)规定的合规审查。监管 机构通过授权提前终止审查等待期，表明其认定该交易不会对行业竞争格局构成实质性威胁，从而为双 方在法定的 30 天等待期届满前推进整合流程清除了核心法律障碍。 根据此前公布的交易细节，迈威尔科技于 2025 年 12 月初发起该项收购，初始对价约为 32.5 亿美元， 其中包括 10 亿美元现金以及价值 22.5 亿美元的股票。此外，该协议还包含一项基于业绩表现的补充条 款，如果达到某些收入目标，迈威尔科技还将向 Celestial AI 的股权持有人额外支付 2720 万股股票。 市场分析普遍认为，迈威尔科技通过此次收购补齐了其在光电互连领域的关键技术版图，将有力强化其 在下一代加速计算基础设施市场中的竞争地位。随着联邦贸易委员会审查的正式完结，该并购案预计将 在 2026 ...

Group 1 - The semiconductor industry is expected to have another strong year in 2026, driven by robust AI spending and a cyclical recovery trend, with the overall industry projected to outperform the market [1] - Analysts predict that most companies will report in-line or better-than-expected earnings in the upcoming Q4 2025 earnings season, providing positive guidance for Q1 2026 and the full year, which will support stock performance [1] - Over 70% of covered companies in Q3 have raised earnings forecasts, and this trend is expected to accelerate in the Q4 earnings season [1] Group 2 - The fundamentals supporting strong growth in AI-related infrastructure remain solid, driven by surging inference demand and increased computational intensity of AI workloads, with supply chain capacity largely booked for 2026 [1] - The AI accelerator market is expected to have significant upward potential, with a projected compound annual growth rate of 50% over the next few years, building on an estimated $200 billion investment in 2025 [1] - The semiconductor industry revenue is forecasted to grow by over 15% this year, with wafer fabrication equipment spending expected to increase by 12-15% year-on-year [3] Group 3 - J.P. Morgan maintains an optimistic view on the storage cycle, focusing on how long supply tightness will last, with enterprise SSD demand being a key lever for NAND flash price increases [3] - The semiconductor equipment sector outlook is positive, with capital expenditures expected to show a low-to-high growth pattern by 2026 [3] - Demand in the chip design software and intellectual property sector is stable, likely returning to a pattern of exceeding expectations and raising guidance [3] Group 4 - J.P. Morgan recommends several companies in the semiconductor sector, including Broadcom (AVGO.US), Marvell Technology (MRVL.US), NVIDIA (NVDA.US), Analog Devices (ADI.US), and Micron Technology (MU.US) [4] - In the semiconductor equipment sector, KLA Corporation (KLAC.US) is preferred, while Synopsys (SNPS.US) is recommended in the chip design software space [4] - Other companies of interest include Lam Research (LRCX.US), Cadence Design Systems (CDNS.US), Applied Materials (AMAT.US), and Western Digital (WDC.US) [4]