美光（ Micron）与长江存储（YMTC）的法律纠纷出现新转折：这家美国芯片巨头以国家安全担 忧为由，试图推翻此前达成的协议和法院裁决。 根据先前裁决，长江存储获得了美光 73 页机密 3D NAND 技术文档的访问权限，但美光现在希望 撤销这一决定，阻止长江存储获取相关信息。 外媒表示， 尽管美光的请求在看似不同寻常，但此 举背后可能有其动机。 美光已向最高法院申请 "mandamus 令状"（法院要求下级机构履行法定职责的命令），对下级法 院的裁决提出质疑。在 2023 年的诉讼中，长江存储指控美光专利侵权，下级法院允许长江存储在 证据开示程序中获得 73 页美光机密文档的纸质副本。 美光辩称，地区法院忽视了保护令的关键条款，因此未能考虑到向一家被列入美国商务部实体清 单、由中国政府支持的公司披露敏感半导体信息所涉及的国家安全担忧。 美光的论点始于纠纷的性质。在 2023 年的案件中，长江存储指控美光的 3D NAND 存储产品侵犯 其多项专利。证据开示程序根据双方共同达成的保护令进行，该保护令限制对高度敏感材料（如源 代码）的访问，仅限外部律师和专家接触，公司员工不得参与。此外，保护令还规定纸质副本总 ...

互联网上最不给 "军儿" 面子的人是谁，除了这几天余承东隔空喊话，我觉得还有一个人大家可能想不到， 那就是川普。 五月底小米刚发布了玄戒芯片，结果没几天，美国人就抡起制裁大棒，打算给新出炉的中国芯片产业 上上强度。 据央视报道，商务部证实美国在日内瓦经贸会谈后，陆续新增出台多项对华歧视性限制措施， 包括发布AI 芯片出口管制指南、停止对华芯片设计软件（EDA）销售等。 以下文章来源于差评X.PIN ，作者差评君 差评X.PIN . Debug The World，关注科技、数码、汽车、产经、游戏，传播能改变世界的科技互联网信息。 虽然这很可能并不是针对小米，而是针对整个中国芯片产业，但这前后脚的关系嘛，也不免让有些网友无 端联想。 不过，真要仔细盘盘这次美国佬的禁令， 其实更严重的地方不是针对华为小米之类的某家企业，而是对中 国EDA软件和设备的全面断供。 啧啧啧，以前是卡光刻机，不想让咱造出来芯片，现在更离谱了，连芯片设计图都不给你画。具体 怎么个事呢，问题就出在EDA这个听着陌生、却能要了芯片"命"的玩意儿上。 实际上，这EDA之所以重要，关键在于它不是一个孤零零的软件，而是一整套工具链+现成IP模块库。 ...

Core Viewpoint - ASML's CEO acknowledges that China has developed domestic lithography equipment, indicating that while there is still a long way to go to catch up with ASML's technology, U.S. measures to suppress China may lead to increased efforts from China to succeed [1] Group 1: Chinese Technological Advancements - The Chinese Academy of Sciences has successfully developed a breakthrough solid-state DUV laser capable of emitting coherent light at 193nm, aligning with the mainstream DUV exposure wavelength, which can advance semiconductor processes to 3nm [1][2] - The developed technology achieves an average laser power of 70mW, a frequency of 6kHz, a linewidth of less than 880MHz, and a full width at half maximum (FWHM) of less than 0.11pm, with spectral purity comparable to existing commercial excimer laser systems [1] Group 2: Comparison with ASML Technology - The solid-state DUV light source technology has been published on the International Society for Optics and Photonics (SPIE) website, showing that while spectral purity is nearly on par with commercial standards, output power and frequency are still significantly lower [4] - Compared to ASML's technology, the frequency achieved is about 2/3, but the output power is only at 0.7% level, indicating that further iterations and improvements are necessary for practical application [4]

Core Viewpoint - The article discusses the current market situation of the NVIDIA RTX 5090 graphics card, focusing on its price decline, rental market, computing power, power consumption, performance, heat issues, and networking capabilities. Pricing - The initial market price of the RTX 5090 was over 40,000 yuan, but it has dropped to just over 20,000 yuan within four months, with some brands listed as low as 23,000 yuan. This price decline is attributed to overheating issues, rumors of performance bottlenecks, initial high pricing by manufacturers, and competition from the previous generation RTX 4090 [2]. Rental Market - The high initial price of the RTX 5090 led to slow development in the rental market. As of May, with prices dropping, some data centers began offering RTX 5090 models for rent. The investment payback period for an 8-card machine is approximately four years, which may deter AI companies given the rapidly changing demand for computing power [3]. Computing Power - The RTX 5090 exhibits impressive computing power, particularly in AI training and inference scenarios, with a single card delivering 419 TFLOPS and an 8-card machine achieving around 3.4 PFLOPS. A cluster of 300 RTX 5090 cards can reach PFLOPS-level computing power. The rental price for a single card is about 10,000 yuan per year, while an 8-card machine costs around 300,000 yuan [4]. Power Consumption - The RTX 5090 has a rated power consumption of 575W, with peak consumption reaching up to 900W. An 8-card machine consumes approximately 6kW, leading to monthly electricity costs of about 3,600 yuan based on a rate of 0.6 yuan per kWh. High power consumption increases operational costs and necessitates robust cooling and power supply systems [6]. Performance - In AI inference scenarios, the RTX 5090 supports low-precision calculations (FP8 and FP4), significantly enhancing efficiency. It shows about a 50% improvement in inference speed compared to the previous generation RTX 4090. In gaming, it outperforms the 4090 at 4K resolution, but optimal performance requires targeted optimization [7]. Heat Issues - The RTX 5090 faces heat issues primarily related to the chip and power connectors, particularly the 12V-2x6 connector. Although such problems are infrequent, they require attention. Solutions include limiting peak power through driver or BIOS settings and enhancing cooling systems [8][11]. Networking Capabilities - Initial concerns about potential "lock card" issues in multi-card networking have been largely alleviated. Testing has shown stable performance in NVLink and PCIe networking, making the RTX 5090 suitable for building high-performance AI clusters [10][12].

Core Viewpoint - The announcement of a potential change in control at Zhongying Electronics raises uncertainties regarding its future strategic direction and leadership, particularly with the possible departure of founder Fu Qiming, who has significantly influenced the company's growth and market positioning in the integrated circuit design sector [1][8]. Group 1: Company Overview - Zhongying Electronics specializes in integrated circuit design, operating under a fabless model, focusing on chip design, research, and sales [4]. - As of 2024, the company reported a revenue of 1.343 billion yuan, reflecting a slight year-on-year increase of 3.32%, indicating its competitive market position despite a challenging environment [4]. - The net profit attributable to shareholders was 134 million yuan, showing a decrease due to a one-time compensation received in the previous reporting period, suggesting a more favorable profit trend when excluding this non-recurring item [4]. Group 2: Product Performance - From 2022 to 2024, the total sales volume of chips increased steadily from 713 million to 885 million units, marking a nearly 9% year-on-year growth in 2024, indicating rising market demand [5]. - The company's gross margin was reported at 33.60%, down 2.01% year-on-year, primarily due to intense market competition and price reductions [5]. Group 3: Product Structure and Market Position - Zhongying Electronics' main products include industrial MCUs, battery management chips, and AMOLED display driver chips, with a strong market share in the industrial MCU sector, particularly in household appliances [6]. - The company has developed several 32-bit Cortex M0+ products for the home appliance market and is expanding its overseas market presence, including new clients in Europe and Japan [6][7]. Group 4: Research and Development - In 2024, the company invested 300 million yuan in R&D, accounting for 22.35% of its revenue, although this figure has seen a slight decline over three consecutive years [7]. - Zhongying Electronics holds a total of 135 valid patents, with 133 being invention patents, showcasing its commitment to innovation and technological advancement [7]. Group 5: Leadership and Strategic Implications - The potential change in control involving Weilang International could lead to significant strategic adjustments for Zhongying Electronics, especially if Fu Qiming exits the decision-making team [8]. - The future trajectory of the company remains uncertain, with the possibility of either leveraging new shareholder support for growth or facing challenges during the transition [8].

Core Viewpoint - The article discusses the rapid development and deployment of the DeepSeek AI model and the CloudMatrix 384 super node by Huawei Cloud, highlighting the competitive landscape and technological advancements in China's AI infrastructure [5][8][76]. Group 1: DeepSeek and Competitive Landscape - The launch of DeepSeek R1 on January 15, 2025, created a significant impact globally, leading to intense competition among AI teams worldwide [5][6]. - Just two weeks later, Huawei Cloud partnered with Silicon-based Flow to launch DeepSeek R1/V3, marking a major milestone in domestic AI deployment [8][9]. - The collaboration aimed to leverage domestic computing power to address deployment challenges, resulting in a 40-fold increase in website traffic for Silicon-based Flow in February [14][15]. Group 2: CloudMatrix 384 Super Node - Huawei Cloud introduced the CloudMatrix 384 super node, which integrates 384 Ascend cards, significantly surpassing NVIDIA's NVL72 super node, which integrates only 72 GPUs [24][21]. - The CloudMatrix 384 is designed to meet the high demands of AI applications, requiring substantial power and advanced cooling systems to manage increased heat density [45][46]. - Despite initial doubts about the feasibility of using optical modules for communication, Huawei Cloud successfully addressed challenges related to communication quality and stability, leading to a successful deployment of the super node [49][56]. Group 3: Performance Improvements - By April 10, 2025, the performance of the DeepSeek service on the CloudMatrix 384 improved dramatically, achieving a throughput of 1920 Tokens/second, which is six times better than earlier performance [69][71]. - The enhancements included significant improvements in various performance metrics, such as training and inference efficiency, showcasing Huawei Cloud's advancements in AI technology [71][75]. - The successful deployment of the CloudMatrix 384 super node represents a breakthrough in China's AI capabilities, establishing a robust domestic computing power infrastructure [76][78].

Core Viewpoint - The semiconductor industry is facing significant challenges due to fluctuating tariff policies and economic uncertainty, impacting market predictions and supplier rankings [1][2]. Semiconductor Supplier Rankings Analog IC - In 2024, the top analog IC suppliers saw a decline in revenue, with only Qorvo (10% growth) and Monolithic Power Systems (21% growth) achieving increases. The top suppliers accounted for 59% of total sales [3][4]. DRAM - The DRAM market experienced an 88% growth in 2024, driven by high bandwidth memory (HBM) and the transition to DDR5. Average prices rose by 81%, while unit shipments increased by only 4%. CXMT showed the highest growth at 214% [5][6][7]. NAND - The NAND flash market grew by 69% to $66.1 billion, primarily due to price increases of 70%. Samsung maintained a 35% market share, while Solidigm's sales surged by 141% [8][9]. MCU - The MCU market declined by 22% in 2024, with NXP leading despite a 9% drop in sales. Renesas and ST also saw significant declines, while Infineon was the only supplier to grow [10][11]. MPU & APU - The MPU and APU market grew by 18.3% to $104.8 billion, with Intel and Apple leading the rankings. Qualcomm's sales increased by 28%, surpassing AMD [12][13][14]. Foundry - The global foundry market grew by 22% to $122.7 billion, driven by AI server demand. TSMC led with a 30% revenue increase, while SMIC also saw significant growth [15][16]. O-S-D - The O-S-D market declined by 9% to $91.1 billion, with major suppliers like Sony and Infineon experiencing revenue drops due to weak demand in consumer and industrial markets [17][18].

Core Viewpoint - The acquisition of certain businesses from Wentech Technology by Luxshare Precision has been approved, marking a significant turning point in the consumer electronics manufacturing industry and indicating the emergence of a manufacturing giant platform [1][2]. Group 1: Transaction Details - Luxshare Precision will acquire 100% equity of multiple subsidiaries and business assets from Wentech Technology for 4.389 billion yuan, which includes operations in various locations such as Kunming, Huangshi, Shenzhen, and Hong Kong [1]. - This transaction is not merely a commercial exchange but a strategic move for both companies, with Wentech Technology focusing on the semiconductor sector post-acquisition [1]. Group 2: Impact on Luxshare Precision - The acquisition allows Luxshare Precision to gain a complete ODM R&D manufacturing system in mobile phones, tablets, laptops, and IoT, addressing its long-standing gap in integrated system R&D capabilities [2]. - Luxshare Precision's business scope will expand significantly to include a full range of computing terminal products, enhancing its ability to participate in the manufacturing of smart devices and data center servers [2]. - The company is now positioned to integrate component R&D, mainboard assembly, and software-hardware solutions, moving closer to establishing a comprehensive electronic manufacturing platform [2]. Group 3: Industry Implications - The merger of Luxshare Precision and Wentech Technology is expected to enhance resource integration and scale effects, leading to greater advantages in R&D investment and production cost control [3]. - This consolidation may accelerate industry reshuffling and upgrades, prompting more companies to innovate and expand their business in response to increasing market competition [3]. - The consumer electronics manufacturing industry is likely to undergo a new wave of transformation, with Luxshare Precision playing a crucial role in leading this change [3].

据 Digitimes报道， 最近 DDR4内存价格出现 急 速飙升。仅在 5月 下半月， DDR4 现货市场价格就飙升 了约 50% 。据称有几个因素在起作用，给 DDR4 价格带来了通胀压力。 DDR4 价格突然上涨的背后原因是什么？ 转自： EETOP 加入"中国IC独角兽联盟"，请点击进入 从上方的表格中可以看到，近几周影响 DDR4 现货市场的价格走势相当极端。 Digitimes 还表示，与 5 月 初协商的价格相比，制造商为 8GB 和 16GB 芯片支付的合约价格也大幅上涨了 22% - 25% 。预计在 第三季度，DDR4 价格将继续上涨，预计涨幅在 10% 到 20% 之间。 该消息来源没有详细说明美中紧张关系为何导致近期 DDR4 内存价格飙升。不过，我们在 5月 底报道 过，由于美国关税政策，企业大量囤积 DDR4，导致价格大幅上涨。此外，我们注意到，长鑫存储效仿 韩国转向 DDR4 以外产品的举措，对于中国日益自给自足的半导体行业跟上科技趋势而言，被认为是 必要的。 一些工业和嵌入式平台仍需要 DDR4 尽管现货 /合约价格上涨使 DDR4 和 DDR5 的价格差距缩小（至 7% 以 ...

以下文章来源于特大号 ，作者小黑羊 特大号 . IT B2B 特大号！每日八卦最香艳2B绯闻！ 业界呼唤已久的"单芯片"102.4Tbps智算交换机ASIC，终于出炉！ 本周，博通（Broadcom）推出了其下一代交换芯片——Tomahawk 6系列。 不得不说，交换芯片老司机博通还是有点东西，抢先杀出重围，比几位同行快了一步。 （目前英伟达、Marvell、思科以及华为 * ，都还停留在51.2T方案，更后排的，甚至只到25.6T，基本上 跟HPN网络市场无缘） 目前Tomahawk 6提供两种规格的型号：BCM78910和BCM78914，最多能够支持64个1.6TbE端口。 很夸张吧，在很多企业级场景，10GbE端口还没跑满，人家1.6TbE的都快量产了。 | 芯片型号 | SerDes类型与数量 | 端口配置示例 | | --- | --- | --- | | BCM78910 | 128个 Peregrine 106.25G PAM4 SerDes (1024Lanes) | 200GbE×512 | | | | 400GbE×256 | | | | 800GbE×128 | | | | 102.4 ...