深圳市江波龙电子股份有限公司 投资者关系活动记录表 | | 1、随着全球主要存储原厂（如美光等）战略重心向企 | | --- | --- | | | 业级市场倾斜，消费级存储市场将迎来哪些机遇与挑战？面 | | | 对这一趋势，公司中长期的业务结构将会有哪些变化？ | | | 答：受数据中心需求爆发驱动，全球主要存储晶圆原厂 | | | 正将资源向企业级存储领域倾斜，导致全球半导体存储产业 | | | 出现了结构性调整以及持续性供应短缺。根据媒体公开报 | | | 道，美光将在全球范围内停止未来移动 NAND 产品的开发。 | | | 部分原厂在消费级存储领域的战略收缩，将重塑全球消费级 | | | 市场的竞争格局。 | | | 在供应短缺以及价格上涨的同时，消费级存储领域的需 | | | 求，特别是端侧 AI、中高端智能终端设备的存储需求机会 | | | 仍存。公司将把握这一历史性机遇，从中长期战略出发，持 | | | 续推动技术升级以及业务提升，以公司自研芯片、公司自有 | | | 封测能力为基础的，聚焦端侧 AI、中高端消费级存储需求， | | 投资者关系活动 | 构建差异化的产品体系。其中，搭载公司自 ...

Core Viewpoint - The demand for AI is driving the storage industry, which is currently in the mid-stage of a super boom cycle, with supply shortages expected to last at least until 2027 [1] Group 1: Storage Industry Outlook - The storage industry is maintaining a high level of prosperity, supported by better-than-expected performance and guidance from key players like Kioxia, as well as an increase in NAND contract prices [1] - The industry is expected to remain in a supply-demand imbalance until the end of 2027, with a strong recommendation for storage module companies due to their short-term performance potential [1] Group 2: Investment Opportunities - The report highlights four key investment directions in the context of the AI era, focusing on the need for bandwidth and capacity upgrades [2] - Storage solution providers are essential for CUBE, with a focus on companies that have support from storage manufacturers and first-mover advantages [2] - Semiconductor equipment is benefiting from the upgrade in advanced packaging demands, with a focus on etching, bonding, and thinning equipment [2] - Advanced packaging is seen as a critical breakthrough for high-end storage, with Chinese manufacturers leading in capabilities and expanding capacity [2] - Logic chip companies are expected to enhance their competitiveness and accelerate industrialization, particularly in 3D structured logic chips, benefiting from AI-driven demand [2]

Core Viewpoint - Micron Technology has reported that the profit margins for traditional DRAM, including DDR5, have recently surpassed those of High Bandwidth Memory (HBM), reflecting the impact of long-term contract structures and supply constraints [1][2] Group 1: Profit Margin Dynamics - The profit margins for non-HBM products are currently higher than those for HBM, indicating a shift in profitability within the memory market [1] - HBM's supply is increasingly constrained by long-term agreements, which limit manufacturers' ability to capitalize on rapid price increases [2] - Traditional DRAM is benefiting from strong demand and limited supply, with average DRAM prices recently rising over 60%, allowing for real-time profit margin reflection [2] Group 2: Strategic Product Management - Micron is managing its product portfolio cautiously in response to the growing demand for AI in data centers, rather than solely focusing on profit-driven strategies [2][3] - A balanced approach is necessary to meet customer needs, particularly in AI server deployments, where both HBM and DDR5 DRAM are required [3] - The company aims for comprehensive growth across its data center product offerings, including HBM, DDR5, low-power DRAM, SODIMM, and SSDs [3] Group 3: Long-term Strategy - Micron's long-term strategy focuses on maintaining a diversified supplier position across multiple industries, which is seen as a key driver for the company's performance and industry growth [3]

美光科技 20260318 摘要 26Q2 营收 102 亿美元创纪录，毛利率环比升至 75%，预计 Q3 营收达 335 亿美元，毛利率指引进一步上调至 81%。 DRAM 与 NAND 均价环比大涨 60%-70%，AI 驱动数据中心位元需求 2026 年将首次超过行业总需求 50%。 HBM4 12 层产品已向 NVIDIA Rubin 批量出货，16 层产品已送样，预 计 2027 年量产基于 1γ 节点的 HBM4O。 供应端极度紧张，核心客户仅能满足 50%-66%需求，公司已签署首份 5 年期战略合作协议（SCA）锁定长期供需。 2026 财年资本支出预计超 250 亿美元，2027 财年因 HBM 及 DRAM 扩产，建设相关支出将同比增加超 100 亿美元。 端侧 AI 推升容量：AI PC 建议内存 32GB（翻倍），旗舰手机 12GB+ 占比从 20%升至 80%，LPDDR6 已获 OEM 反馈。 先进制程 1γ DRAM 与 G9 NAND 预计 2026 年中期成为产能主力，1δ 节点将全面引入 EUV 工具优化效率。 公司各业务部门在 2026 财年第二季度的营收和毛利率表现如何 ...

Core Viewpoint - Price increases have become a hot topic in the current smartphone market, with major brands like OPPO and OnePlus announcing price hikes starting March 16, 2026, to allow consumers a buffer period for purchases at original prices [1][4]. Price Adjustments - Samsung's new Galaxy S26 series saw a price increase of 1,000 yuan compared to the previous generation, and multiple manufacturers are expected to raise prices starting March 15, 2026, with Honor initiating its price increase by the end of the month [4]. - The smartphone market may experience multiple rounds of price adjustments in 2026 due to rising upstream costs, with the second or third rounds potentially occurring in the second half of the year [4]. Cost Structure Changes - The key variable driving changes in the global smartphone market is no longer just AI capabilities or chip iterations, but rather the rising prices of storage components [5]. - The global memory chip industry has entered a rare period of price increases since the second half of 2025, with DRAM contract prices expected to rise by 90% to 95% in Q1 2026, and NAND Flash prices projected to increase by 55% to 60% [6]. - The cost of memory semiconductors in smartphone BOM has risen from 10%-15% to over 20%, indicating a shift in pricing logic within the industry [6]. Market Dynamics - The pressure to raise prices is rapidly being transmitted from upstream suppliers to end consumers, leading to a potential comprehensive price increase in the Chinese smartphone industry, marking the largest collective price adjustment in five years [6]. - The logic of waiting for better prices is becoming obsolete, as the new reality indicates that prices will continue to rise [7]. Supply Chain and Production - The demand for storage due to AI applications is significantly higher than for regular servers, leading manufacturers to prioritize high-margin products, which reduces the supply of LPDDR for smartphones [11]. - The tightening supply and rapid inventory turnover have made price increases inevitable, with some clients already discussing supply contracts for 2027 [12]. Competitive Landscape - In response to rising costs, manufacturers are reducing SKUs and focusing on higher-margin products, indicating a structural shift rather than simple price increases [14]. - The competition is evolving from price wars to emphasizing product value and brand capabilities, with companies forming strategic partnerships to enhance differentiation [14]. - The understanding of "premium" is shifting to include stronger product performance, longer-lasting user experience, and better supply chain management [15]. Consumer Implications - As smartphone prices are expected to continue rising, consumers may find it more rational to purchase sooner rather than wait for potential price drops [17]. - The new market rule suggests that delaying purchases may lead to higher costs in the future [18].

Core Viewpoint - The automotive industry is undergoing a significant transformation driven by the exponential growth of data generated by advanced driver-assistance systems (ADAS) and the increasing complexity of vehicle functionalities, necessitating a reevaluation of memory and processing requirements [3][4][5]. Group 1: Data Processing and System Architecture - The data generated by sensors in autonomous and assisted driving is growing explosively, creating unprecedented demands on memory and storage subsystems within vehicles [3]. - The shift towards software-defined vehicles (SDVs) allows for better identification of where advanced processors and memory are needed, optimizing performance and cost [4][5]. - Traditional concerns about data transmission delays are diminishing as high-speed data transfer technologies, such as 10Gbps automotive Ethernet, become more prevalent [4][5]. Group 2: Memory and Storage Technologies - The choice of memory types in electric vehicles (EVs) is critical, with LPDDR6 emerging as a suitable option due to its balance of capacity and bandwidth, essential for ADAS and AI applications [9][11]. - High-bandwidth memory solutions are increasingly important as the demand for real-time processing in vehicles rises, with DRAM and NAND flash being commonly used for various applications [12][16]. - The integration of different memory types, such as DRAM and flash, into hybrid memory architectures is expected to enhance flexibility and performance in future vehicle designs [15][17]. Group 3: Industry Trends and Challenges - The automotive sector is transitioning from distributed electronic control units (ECUs) to more centralized architectures, enabling better data management and real-time decision-making [7][8]. - The increasing complexity of vehicle systems necessitates a focus on optimizing bandwidth, latency, and memory capacity to ensure safety and user experience [8][9]. - The semiconductor industry is experiencing shifts in memory pricing and availability due to rising demand from AI applications, impacting automotive manufacturers' strategies [11][18].

SOCAMM 是由美光科技与英伟达联合开发的一种内存标准。与远离主机 CPU（中央处理器）垂 直排列的 RDIMM（寄存器双列直插式内存模块）不同，SOCAMM 平铺（水平）于主机 CPU 附 近，并采用堆叠式 LPDDR（低功耗双倍数据速率）内存设计。由于模块的位置和排列方式， SOCAMM 内存为超出 HBM（高带宽内存）容量的应用提供了高带宽解决方案。一个典型的例子 是键值缓存（KV 缓存），它将先前查询的结果保存下来，从而减少新查询运行整个模型的需要， 因为新查询可以利用先前生成的信息。 由于采用了SOCAMM模块化设计，这些模块可以更换和/或升级，从而满足了快速发展的AI模型 创 新 所 需 的 可 扩 展 性 。 此 外 ， 水 平 方 向 的 设 计 有 利 于 散 热 。 散 热 板 可 以 延 伸 ， 同 时 为 CPU 和 SOCAMM模块散热，这既能提升性能，又能降低散热系统的复杂性。 第一代SOCAMM内存模块在系统数据平面（内存和存储）层次结构中引入了一个新的层级，以满 足AI服务器对更高容量和更高带宽的需求。SOCAMM于2025年推出时，是美光科技的专有解决方 案。不到一年，SO ...

Financial Data and Key Metrics Changes - The company reported total revenue of $2.41 billion for Q1 2026, at the high end of guidance, primarily due to timing of Ansys deals [15] - Non-GAAP operating margin was 42.1%, and non-GAAP EPS was $3.77, exceeding expectations [13][16] - Backlog ended at $11.3 billion, indicating a strong and resilient business model [13] Business Line Data and Key Metrics Changes - Design Automation segment revenue was approximately $2 billion, with strong growth in hardware-assisted verification [16] - Design IP segment revenue was $407 million, down approximately 6% year-over-year, indicating a transitional year for the business [16] - Ansys revenue was approximately $886 million, reflecting strong demand for system-level digital engineering and multiphysics simulation [15][16] Market Data and Key Metrics Changes - China revenue grew approximately 21% year-over-year due to the inclusion of Ansys, although excluding Ansys, revenue declined slightly [15] - The company noted a robust design start activity for AI compute, while design starts in consumer, automotive, and industrial markets remained subdued [4][5] Company Strategy and Development Direction - The company is focused on delivering technology promises from the integration of Synopsys and Ansys, with a strong emphasis on AI-driven design capabilities [4][12] - The strategy includes advancing technology leadership and focusing on sustainable growth and margin expansion [11][12] - The planned sale of the processor IP solutions business to GlobalFoundries is aimed at sharpening focus on interconnect and foundation IP [10] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the IP business driven by robust design starts, particularly in the AI segment [24] - The company anticipates continued demand for silicon-to-system solutions, particularly in industries like semiconductors, aerospace, and automotive [6][10] - Management acknowledged challenges in the Chinese market due to geopolitical factors but remains optimistic about the overall demand for their products [68] Other Important Information - The company has replenished its stock repurchase program with authorization to purchase up to $2 billion of common stock [18] - Free cash flow was approximately $822 million in Q1, with total debt at $10 billion [17] Q&A Session Summary Question: Insights on the IP segment and expected growth - Management highlighted confidence in the IP business due to robust design starts and evolving standards, with expectations for a pickup in the second half of the year [24][25] Question: Seasonal trends in bookings and renewal activity - Management noted that backlog is strong at $11.3 billion, and renewal timing can cause fluctuations, but overall confidence remains high [34] Question: AI's impact on the business - Management stated that AI is amplifying their strategic advantage rather than disrupting it, with ongoing developments in AI-driven design capabilities [5][42] Question: Ansys business forecastability - Management expressed confidence in Ansys's ability to service multiple market segments, indicating broad growth opportunities despite accounting variability [44][46] Question: Updates on the NVIDIA partnership - The partnership is focused on GPU acceleration and creating digital twins for physical AI opportunities, with expectations for product delivery in 2026 [90][92]

相比手机内存，PC内存的涨幅或将更猛。集邦咨询认为，PC DRAM方面，DDR4和DDR5价格在2026年 第一季度环比增长105%~110%。 相比内存，闪存的涨幅将相对较小。集邦咨询称，NAND Flash总体在2026年第一季度将环比增长 55%~60%。 存储价格的持续上涨，且上涨势头不减，这也给消费电子大厂带来压力。据韩国媒体1月底报道，韩国 两家存储芯片供应商三星和SK海力士已经完成与苹果的谈判，将大幅上调2026年一季度供应给苹果 iPhone低功耗DRAM（LPDDR）的价格。其中，三星报价较前一季度涨幅超过80%，SK海力士给出的 涨幅接近100%。 曾经车规级芯片的涨价缺货潮，令大量国产芯片有机会接受车规级认证，从而打入汽车市场。而这一波 存储芯片涨价潮，历史还会再次上演吗？ 2025年下半年以来，存储芯片持续涨价，这也令手机厂商承压。有消息称，苹果正在评估引入中国存储 厂商长江存储与长鑫存储，以满足存储供应的潜在需求。 存储芯片主要分为内存和闪存。长鑫存储为国内头部DRAM（内存）厂商，而长江存储为国内头部 NAND Flash（闪存）厂商。 存储涨价，手机厂商压力骤增 据"CFM闪存市 ...

公众号记得加星标⭐️，第一时间看推送不会错过。 此外，与标准DRAM相比，LPDDR具有更高的功耗和空间效率，能够在不大幅修改现有系统结构的 情况下扩展内存容量。三星电子和SK海力士还通过在LPDDR6中集成"元数据"区域来提高数据管理 效率，从而提升人工智能的计算效率。 例如，英伟达的GH200系统将安装在Grace CPU（中央处理器）中的LPDDR5X内存与安装在Hopper GPU（图形处理器）中的HBM3E显存连接起来。英伟达计划于今年下半年发布的Vera CPU预计将配 备1.5TB（太字节）的LPDDR5X内存。 根据美光科技的研究，将LPDDR5X内存容量从512GB扩展到1.5TB，可以在实时推理环境中将首次 令牌响应时间（TTFT）缩短高达98%。随着内存容量的增加，重新计算的次数可以减少，从而提高 初始响应速度。 低功耗动态随机存取存储器（LPDDR）正在人工智能（AI）内存市场崭露头角。它作为一种替代方 案备受关注，有望弥补仅靠高带宽内存（HBM）难以解决的AI瓶颈问题，同时还能提供更高的能 效。三星电子和SK海力士已发布新一代LPDDR产品，加入这场争夺市场份额的竞争。 据业内人士2 ...