Core Insights - Nvidia announced a quarterly charge of approximately $5.5 billion related to exporting H20 graphics processing units to China and other regions, resulting in a 4% decline in stock price during extended trading [1] - The U.S. government has mandated that Nvidia requires a license to export chips to China and several other countries, indicating potential growth constraints due to increasing export restrictions [2] Group 1: Financial Impact - The H20 chip, designed to comply with U.S. export restrictions, is projected to generate between $12 billion to $15 billion in revenue for 2024 [3] - Revenue from China has reportedly decreased to half of pre-export control levels, equating to approximately $17 billion [3] Group 2: Competitive Landscape - Competition in China is intensifying, with Huawei being listed as a competitor for the second consecutive year in Nvidia's 10K filing [4] - The H20 chip is comparable to Nvidia's H100 and H200 AI chips but has slower interconnection speeds [4] - DeepSeek, a Chinese company, has utilized H20 chips in its research to develop a competitive AI model that has disrupted markets [4] Group 3: Regulatory Environment - Nvidia is facing new export restrictions under "AI diffusion rules" set to take effect next month, which were initially proposed by the Biden administration [5]

Bye! so so so so so so so you. you. you. Bye. so so so so you. Hey! Hey! you. so so Hello, everyone. Welcome to the live broadcast. I am Li Yi. I am very happy to meet you again in the live broadcast room of Tencent Investment Bank Investment Meeting. This program is produced by Tencent Investment Bank Joint Financial Group. We position the chief conversation industry experts, conversation with our corporate executives, and so on. We also hope that through conversations with these big companies, we can help ...

Hello, everyone. Welcome to Guangda New Area. I am your old friend, Li Quan. Today is the 26th live broadcast of Guangda New Area. This live broadcast is mainly about the CTC meeting in Uyghuristan. Of course, we will also focus on the development of the AR industry. From the point of view of the Ministry of Quantification of China, which is where I work, our department mainly manages various index products, including the well-known and popular ETFs, as well as various external links and index funds. Our pr ...

Summary of SMIC Conference Call Company Overview - **Company**: Semiconductor Manufacturing International Corporation (SMIC) - **Ticker**: 0981.HK - **Market Cap**: US$35,491 million - **Current Price**: HK$39.15 - **Price Target**: HK$40.00 - **Rating Change**: Upgraded from Underweight (UW) to Equal-weight (EW) [1][5][42] Key Industry Insights - **AI Chip Demand**: Domestic demand for AI GPUs is larger than expected, driven by rising AI inference needs and limited supply from US AI GPUs [2][9] - **Local Chip Production**: SMIC is expected to be a key supporter for local AI chip designers due to the surge in demand for domestic chips [2][39] - **Capacity Constraints**: SMIC's advanced node capacity is limited by equipment bottlenecks, particularly in lithography and inspection tools [3][18] Financial Performance and Projections - **Revenue Growth**: Projected revenue for 2025 is US$10,155 million, reflecting a 3% increase from previous estimates [39][40] - **Earnings Estimates**: EPS estimates for 2025 have been raised to US$0.158, a 5% increase from prior estimates [39][40] - **Gross Margin**: Expected to stabilize around 21.4% in 2025, with potential for expansion due to rising ASPs and improved yield rates [30][46] Production Capacity and Yield - **AI GPU Production**: SMIC could produce approximately 3.6 million units of AI GPUs annually, fulfilling domestic demand [4][19] - **Wafer Production**: Each 12-inch wafer can yield about 20 good dies of Huawei's 910B chip, with a yield rate of 30-35% [4][19] - **Advanced Node Capacity**: Forecasted capacity for 14nm/10nm/7nm FinFET nodes is expected to reach 50kwpm by the end of 2025 [3] Market Dynamics - **Pricing Power**: Concerns about oversupply in mature nodes may lead to intensified pricing competition in 2H25 [46][58] - **Investment in AI**: Chinese CSPs are expected to allocate up to RMB300 billion for AI capex, primarily for acquiring AI servers and GPUs [16][17] Risks and Considerations - **Potential Risks**: - Weaker-than-expected demand for AI chips - Capacity expansion limitations due to export controls - Low yield rates that may not improve [45][58] - **Valuation Concerns**: Current stock trading at +2 standard deviations of historical average P/B, indicating potential overvaluation [5][47] Conclusion - **Outlook**: SMIC is well-positioned to benefit from the localization of AI chip production and increasing domestic demand, but faces challenges related to capacity constraints and market competition. The upgrade to an Equal-weight rating reflects a cautious optimism about future growth prospects [1][42][58]

Summary of Key Points from the Conference Call Industry Overview - The focus is on the AI supply chain, particularly the CoWoS (Chip on Wafer on Substrate) capacity and its implications for the global AI market, with TSMC's decisions being pivotal for 2026 capacity allocation [1][2][3]. Core Insights - **TSMC's Capacity Expansion**: TSMC is expected to adopt a conservative approach for its 2026 CoWoS capacity expansion, with an early decision anticipated in mid-May based on customer demand feedback. Current expectations suggest an increase from approximately 70-75k to 105-125k in 2026 [2][3]. - **Forecasted Growth**: The forecast for CoWoS capacity is set at 70kwpm for 2025 (doubling from 2024) and 90kwpm for 2026, indicating a year-over-year growth of 119% in 2025 and 29% in 2026 [3]. - **China's GPU Supply Chain**: There is a noted decoupling of China's GPU and CoWoS supply chain from global suppliers, with local production expected to ramp up if SMIC can enhance its capacity [4][5]. - **AI Capex in China**: Chinese cloud service providers (CSPs) are projected to spend up to RMB 300 billion on AI capital expenditures from 2026 to 2028, with significant allocations for GPUs [5][47]. Additional Important Points - **Tariff Impacts**: The ongoing tariff policies are expected to influence AI capital expenditures and procurement costs, creating uncertainty in the market [2][11][15]. - **Demand for Local GPUs**: There is a strong demand for local GPUs in China, although dependency on domestic production remains low outside of government use [44][45]. - **Spot Price Trends**: The demand for Nvidia's gaming graphics cards has surged, leading to increased spot prices, while rental prices for AI GPUs are trending downward ahead of new product launches [10][11]. - **Customer Allocation**: Nvidia is expected to see a 35% year-over-year growth in CoWoS consumption in 2026, driven by larger chip sizes, while AWS and Google are also anticipated to gain market share in AI ASICs [13][16]. Data Highlights - **CoWoS Demand Breakdown**: The total demand for CoWoS wafers is projected to grow significantly, with Nvidia, Broadcom, and AMD being the key customers [18][27]. - **Revenue Projections**: AI computing wafer consumption is expected to generate up to $16.1 billion in revenue by 2025, with Nvidia being the largest customer [41][43]. - **HBM Demand**: The demand for High Bandwidth Memory (HBM) is projected to reach nearly double the 2024 levels, with Nvidia again being the largest consumer [34][39]. Conclusion - The AI supply chain is poised for significant growth, driven by advancements in CoWoS technology and increasing demand for AI capabilities. However, external factors such as tariffs and geopolitical dynamics will play a crucial role in shaping the landscape.

Taiwan Semiconductor Manufacturing Company (TSMC) may have to pay a fine of $1 billion or more to resolve a U.S. export control investigation related to a chip it made that was used in a Huawei AI processor, according to a report by Reuters.TSMC did not provide any further comments as it is now “in [a] quiet period,” a spokesperson for the chipmaker said in an emailed statement to TechCrunch. It’s the latest development in a situation that first came to light in late 2024 involving TSMC, Huawei, and Xiamen ...

April 8, 2025 09:00 PM GMT SMIC | Asia Pacific Domestic AI GPU demand and supply larger than expected; Upgrade to EW | What's Changed | | | | --- | --- | --- | | SMIC (0981.HK) | From | To | | Rating | Underweight | Equal-weight | | Price Target | HK$38.00 | HK$40.00 | Rising AI inference demand and SMIC's capability to source bottlenecked equipment have led to strong revenue growth for its advanced nodes. Move SMIC to EW from UW. Rigid demand for AI chip localization: Driven by DeepSeek, we expect rising d ...

Core Viewpoint - Qualcomm's stock has declined 20.6% over the past three months, outperforming the industry decline of 34.7%, but facing significant challenges due to the U.S.-China trade tensions and high R&D costs [1][2][8]. Group 1: Market Performance - Qualcomm's stock performance has been relatively better compared to peers like Hewlett Packard Enterprise and Broadcom, which saw declines of 42.6% and 36% respectively [1]. - The company's revenues are heavily reliant on the Chinese market, accounting for 66% of total revenues in fiscal 2024, making it vulnerable to market uncertainties [6]. Group 2: Trade and Tariff Impact - The ongoing U.S.-China trade conflict has led to tariffs that adversely affect Qualcomm's revenues, with a 34% retaliatory tariff imposed by China following U.S. tariffs [2][3]. - The trade restrictions have banned the sale of high-tech equipment and chips to China, further complicating Qualcomm's operational landscape [2]. Group 3: Competitive Landscape - Qualcomm faces intense competition from low-cost chip manufacturers and established players like Broadcom and Hewlett Packard, which is expected to pressure its profit margins [8][9]. - The shift in market share among original equipment manufacturers at the premium tier has reduced Qualcomm's near-term opportunities in selling integrated chipsets [8]. Group 4: Growth Opportunities - Despite short-term challenges, Qualcomm is positioned for long-term growth through its Snapdragon portfolio and investments in mobile licensing programs [11]. - The automotive sector is a significant growth area, with automotive revenues increasing by 61% to $961 million in the first quarter of fiscal 2025, driven by new vehicle launches [14]. Group 5: Earnings Estimates - Earnings estimates for Qualcomm for fiscal 2025 have increased by 12.4% to $11.78, and for fiscal 2026, estimates have risen by 5% to $12.50, indicating positive market sentiment [15]. Group 6: Strategic Initiatives - Qualcomm is expanding into AI capabilities with the launch of the Snapdragon X chip for mid-range AI desktops and laptops, aiming to diversify its revenue streams beyond the smartphone market [13]. - The company is also focusing on enhancing its automotive telematics and connectivity platforms to capitalize on emerging trends in the automotive industry [14].

GenAI的内存解决方案 第 1 部分：能力的变化 所需能力 GenAI 应用需要高速、高带宽且低延迟的内存，以便实时处理海量数据。在需要实时决策和 预测的推理环节，数据的快速访问就显得尤为关键。 GenAI内存解决方案第 2 部分：HBM的竞争态势 内存设计的挑战与解决方案以及内存技术的最新趋势正在塑造高性能计算的未来及其竞争 格局。 竞争态势 技术革新： 具有传统接口的动态随机存取存储器（DRAM）在带宽和延迟方 面 存在局限，因此像高带宽内存（HBM）这类利用硅通孔（TSV）堆叠 DRAM 的 技术，就成为满足这些性能需求的关键解决方案。与内存设计相关的挑战与应 对办法，以及内存技术的新兴趋势，正塑造着高性能计算的未来与竞争格局。 优化策略： 未来，像3D-IC和（或）CoWoS等封装技术的进步，将在智能手 机、PC 等不同领域得到应用。智能手机受空间和成本限制，人们会尝试多种办 法，在不增加成本与空间占用的前提下，降低延迟、减少能耗。 应变准备 ： 目前仍不清楚到 2030 年哪些类型的GenAI模型和应用会流行，以 及具体数量是多少。因此，支持架构层面的进步并构建生态系统，以便能够应 对任何变化，将 ...

Group 1: Core Insights - GenAI applications require high-speed, high-bandwidth, and low-latency memory for real-time data processing, making fast data access critical for decision-making and predictions [2] - The competition landscape in memory technology is evolving, with challenges in memory design and emerging trends shaping the future of high-performance computing [4][6] - Custom HBM (High Bandwidth Memory) is becoming essential for AI systems, with significant growth expected as companies like NVIDIA, Amazon, and Microsoft drive its development [26][28] Group 2: Competitive Landscape - Samsung is lagging in HBM due to conservative actions in advanced testing and packaging, focusing too much on cost while failing to meet customer demands for heat dissipation and power consumption [7] - SK Hynix is leading the market by addressing NVIDIA's power and thermal constraints through innovative memory unit designs and backend processing [7][8] - Micron is entering the HBM market later than competitors, planning to launch HBM3e by 2025, while adopting proven bonding equipment and internal voltage conversion technologies [7][8] Group 3: China's Influence - China's influence in the storage market is expected to grow, depending on the new demand environment shaped by GenAI, technological changes, and U.S.-China policies [9] - By 2024, China's DRAM manufacturer CXMT is projected to account for 13% of global capacity, 6% of shipments, and 3.7% of revenue, with potential growth to match Micron's capacity by 2025 [12] - The Chinese semiconductor industry is working towards domestic supply chains for HBM and DRAM, but faces challenges due to U.S. regulations on advanced equipment [12][18] Group 4: Smartphone Integration - The integration of GenAI with smartphones is a significant development, requiring transformative memory solutions and altering the competitive landscape [11] - Samsung plans to improve HBM3e by Q1 2025, potentially increasing its HBM shipment from 8-9 billion gigabits to 11-12 billion gigabits [11] - China aims for domestic production of HBM3 by 2025, with a focus on self-sufficiency in GPU manufacturing and related technologies [11] Group 5: Future Trends and Innovations - The future of memory solutions will focus on balancing bandwidth, capacity, power consumption, and cost, with ARM's recent strategic adjustments influencing configurations [22] - Innovations like Processing In Memory (PIM) and Wide I/O are expected to enhance performance in high-end smartphones and other applications, although their adoption timelines vary [15][22] - The custom HBM market is projected to grow significantly, with estimates suggesting it could account for 30-40% of the overall HBM market by 2030 [29]