The promise of Agentic AI is enormous. The challenge is that most enterprises are sitting on a mountain of fragmented data and legacy systems that were never designed to support AI-driven workflows.This is where Dell and NVIDIA are stepping in—with a validated, jointly engineered platform that connects data, AI and real-world customer experiences. Sponsored by @DellTech https://t.co/O8Rqvqktc6 ...

Marvell Technology Group Ltd | North America Quick Thoughts on NVDA/ MRVL Partnership NVIDIA and Marvell partner on NVLink and silicon photonics, with a $2bn investment, underscoring how severe networking bottlenecks have become and highlighting the strategic positioning of Marvell's portfolio as AI scaling drives greater reliance on advanced interconnect. What Happened: NVIDIA and Marvell announced a partnership to integrate NVIDIA's NVLink ecosystem with Marvell's XPU and scale-up networking portfolio. Ma ...

Flash | 31 Mar 2026 07:17:14 ET │ 8 pages Taiwan Semiconductors and Electronic Components & Equipment AI chip structural upgrade cycle intact CITI'S TAKE Companies Mentioned: ASE Technology Holding (3711.TW; NT$328.5; 1; 31 Mar 26; 13:30) | King Yuan Electronics Co (2449.TW; NT$261.0; 1; 31 Mar 26; 13:30) | NVIDIA Corp (NVDA.O; US$165.17; 1; 30 Mar 26; 16:00) | TSMC (2330.TW; NT$1760.0; 1; 31 Mar 26; 13:30) | Unimicron (3037.TW; NT$444.5; 1; 31 Mar 26; 13:30) | WinWay Technology (6515.TW; NT$7150.0; 1H; 31 ...

MARCH 2026 See Disclosure Appendix of this report for important disclosures and analyst certifications ARTIFICIAL INTELLIGENCE: THE AI INFRASTRUCTURE VALUE CHAIN Our fact base and framework for comparing fundamental upside and identifying winners across the AI value chain. The AI boom versus bubble debate has raged on since 2023. The range of outcomes could scarcely be wider, from advanced superintelligence to a crash of epic scale. While it is clearly difficult to pinpoint the exact trajectory, we see AI s ...

Dissecting Nvidia Blackwell - Tensor Cores, PTX Instructions, SASS, Floorsweep, Yield 剖析英伟达 Blackwell 架构——张量核心、PTX 指令、SASS、残次品利用、良率 Microbenchmarking, tcgen05, 2SM MMA, UMMA, TMA, LDGSTS, UBLKCP, Speed of Light, Distributed Shared Memory, GPC Floorsweeps, SM Yield 微基准测试、tcgen05、2SM MMA、UMMA、TMA、LDGSTS、UBLKCP、光速指标、 分布式共享内存、GPC 残次品利用、SM 良率 KIMBO CHEN AND DYLAN PATEL KIMBO CHEN 与 DYLAN PATEL APR 01, 2026 2026 年 4 月 1 日 ∙ PAID ∙ 付费内容 136 1 Share 分享 Nvidia's Datacenter Blackwell GPU (SM100) represents one of the ...

Summary of TSMC and CPO Industry Conference Call Company and Industry Overview - The conference call primarily discusses TSMC's advancements in Co-Packaged Optics (CPO) technology and its implications for the semiconductor industry, particularly in relation to NVIDIA and other key players in the market [1][2][3]. Key Points and Arguments CPO Development and Production - CPO is still in the R&D phase, with unclear mass production yield rates. Significant volume production is expected to begin with the Feynman architecture, which will incorporate 3D stacking technology [1][2]. - NVIDIA has decided to skip the Near Packaged Optics (NPO) solution, focusing on CPO to address supply bottlenecks and thermal interference issues associated with copper cables [1][7]. - TSMC is leading the front-end wafer-level processes for CPO, while SPIL is responsible for back-end packaging. CPO capacity is expected to start in 2028, with significant volume production in 2029 [1][13]. Yield and Technical Challenges - Current yield rates for CPO are low, with R&D yields sometimes reaching 50%-60%, but mass production yields remain uncertain due to differences between R&D and scale production [3][6]. - The main technical challenges involve heterogeneous integration, particularly the assembly and layout optimization of optical engines on 2.5D packaging substrates [3][4]. Market Dynamics and Future Outlook - Onto Innovation has sold out its 2026 capacity, with revenue growth expected to be between 38%-50% due to strong demand for interposers and CoWoS-related products [1][14][19]. - The G5 equipment from Onto is currently under validation with TSMC and Micron, aiming to enter the market in 2026 [1][16][29]. Competitive Landscape - Samsung is aggressively introducing Hybrid Bonding technology in HBM4, while SK Hynix and Micron are cautious due to cost considerations [1][13]. - TSMC's CPO business is seen as a new growth area, with high technical barriers and limited competition, aligning with TSMC's strategy of focusing on high-moat businesses [7][10]. Revenue and Capacity Planning - TSMC's CPO business is still in the early stages, with no clear production orders from NVIDIA for the Ruben generation, making discussions about capacity expansion premature [8][20]. - The company is facing significant pressure on capacity due to high demand, with orders extending into 2027. Strategies to increase capacity include restarting closed U.S. factories and utilizing outsourced production in Southeast Asia [22][29]. Pricing and Profitability - The company is considering price increases in response to high demand, with a gross margin target of 58%. The first quarter of 2026 is expected to see margins between 54%-56% [23][24]. Product Positioning - The G3 and G5 series products are positioned to coexist, targeting different application areas. G5 aims to enter the CoWoS detection market, complementing G3 rather than replacing it [24][26]. Additional Important Insights - The G3 Plus is still in the conceptual stage, aiming to enhance G3's speed by 30%-50% [25]. - The G5 equipment's production is currently limited to in-house manufacturing, with standardization and external production processes yet to be established [29]. - The outlook for 2027 is optimistic, with potential revenues exceeding $15 billion if G5 passes customer validation [29][30].

OCS 交换机行业进展更新 20230331 摘要 OCS 应用场景从 TPU 柜间连接拓展至跨数据中心 Scale- across，2026 年 Oracle 已下单，微软、Meta、英伟达进入样机测试 阶段。 市场规模由通道数驱动，2026 年主流产品从 128 通道升级至 300+ 通道，预计 2028 年总需求量达 7-8 万台，年增速有望翻倍。 MEMS 方案最成熟，液晶方案（Coherent/微软）2026 年起量且寿命 更长，光波导方案时延短但目前仅能产 32 通道，产业链配套尚不成熟。 OCS 整机售价约 500 美元/通道，BOM 成本约 200 美元/通道；当前 供给瓶颈在于整机装配效率低，预计 2026Q3 随供应链爬坡进入大规模 量产。 腾景科技为液晶方案核心供应商，提供晶体材料及准直器阵列（占 BOM 40%），预计 2026 年相关收入超 2 亿元。 德科立主攻光波导整机代工并送样谷歌/英伟达；光库科技具备代工经验； 凌云光与英唐智控分别布局压电陶瓷与收购技术团队。 英伟达未来架构（如 2028 年费曼代）Scale-up 互联是否采用 OCS 尚 无定论，若落地将成为产业趋势加速 ...

Core Insights - Chinese GPU and AI chip makers captured nearly 41% of China's AI accelerator server market in 2025, significantly reducing Nvidia's market dominance [2][5] - The shift is attributed to China's increasing caution about reliance on foreign chips, leading to a push for domestic alternatives amid U.S. export controls [3][5] Market Share Dynamics - Nvidia remains the market leader with approximately 2.2 million AI accelerator cards shipped, holding a 55% market share, but this represents a decline from its previous dominance [4][7] - Chinese vendors collectively shipped 1.65 million cards, marking a significant milestone in the market, with Huawei leading at around 812,000 cards, followed by Alibaba's T-Head with approximately 265,000 cards [5][6] Competitive Landscape - Baidu's Kunlunxin and Cambricon each shipped around 116,000 cards, ranking them jointly third among Chinese vendors [6] - Other Chinese vendors like Hygon, MetaX, and Iluvatar CoreX accounted for 5%, 4%, and 3% of total shipments, respectively [6] Government Initiatives - In 2025, the central government initiated a new wave of AI infrastructure spending, encouraging local governments to accelerate the establishment of intelligent computing centers with directives to prioritize domestic products [6]

Iran's Islamic Revolutionary Guard Corps (IRGC) has threatened attacks on a swath of U.S. tech companies with operations in the Middle East, including Nvidia, Apple, Microsoft and Google.The IRGC warned on Tuesday that 18 tech companies would be considered as "legitimate targets" in retaliation for U.S. and Israeli strikes on Iran.Attacks on those companies would begin from 8 p.m. on Wednesday, April 1, Tehran time (10:30 am ET), the IRGC said in a post on Telegram translated by Google, warning employees at ...

Light-duty vehicles travel over 3 trillion miles annually in the U.S., per the Bureau of Transportation Statistics. Ride-sharing services typically charge $1 to $2 per mile. So, even if autonomous driving technology cuts the price in half, robotaxis still represent a trillion-dollar market in the U.S. alone.In the fourth quarter, hedge fund billionaire Ken Griffin bought shares of Nvidia (NVDA +5.56%) and Amazon (AMZN +3.51%), two stocks at the center of that opportunity. In fact, Nvidia and Amazon were the ...