算笔账 一批十万的呆料压在库存 每月仓储费➕资金成本至少5k 放半年就亏3万 有料单不知道怎么推广？ 芯片超人已经 累计服务2.2万用户 ，打折清库存，最快半天完成交易！ 找不到，卖不掉，价格还想再好 点 ，都可以来找我们！ 优势物料，特价出售 品牌 型号 年份 数量 华邦 W25Q40CLWI 22+ 30K 华邦 W25Q16JVBYIQ 无 98210 金士顿 EMMC16G-MW28-GA01 两年内 3040 | 金士顿 | EMMC32G-TS0A-GA01 | 两年内 | 4560 | | --- | --- | --- | --- | | 金士顿 | EMMC64G-TY29-GA5B | 两年内 | 6080 | | Fitipower/天钰 | FP6381AS5CTR | 21+ | 10000 | | Cypress/赛普拉斯 | S29GL032N90TFI040 | 2046 | 960 | | SGMICRO/圣邦微 | SGM2588CYN5G/TR | 20+ | 3000 | | POWLICON/宝砾微 | PL56001IQN20A | 23+ | 4000 | | T ...

Group 1 - The Hong Kong stock market experienced fluctuations, with the Hang Seng Index closing at 26,847.322, a slight increase of 0.047% [1] - Real estate stocks saw significant gains, with Shimao Group rising over 14%, Sunac China up over 8%, Vanke Enterprises increasing over 6%, and Yuexiu Property up over 6% [1] - Coal stocks also performed well, with Yanzhou Coal Mining rising over 10% and China Shenhua Energy increasing over 5% [1] Group 2 - The Hang Seng Tech Index dropped by 1.844%, with major tech companies showing poor performance [3] - Tencent Holdings fell nearly 4%, Baidu Group declined nearly 3%, Xiaomi Group dropped over 1.8%, JD Group decreased over 1.6%, and Alibaba fell nearly 1% [3][4] - Semiconductor stocks were sluggish, with Fudan Shanghai falling over 5%, Hua Hong Semiconductor down nearly 5%, GigaDevice down over 3%, and SMIC down over 2% [5]

港股午间收盘，恒生指数跌0.41%，国企指数下跌0.54%，恒生科技指数跌2.20%。 煤炭股涨幅居前，兖矿能源涨近9%，中煤能源涨近8%，中国神华涨逾5%。 南向资金方面，南向资金半日净买入额超50亿港元，其中沪股通净买入41.09亿港元，深股通净买入11.13亿港元。 （文章来源：21世纪经济报道） 氢能源概念持续活跃，国富氢能涨超23%，京城机电股份涨超11%。 内房股集体走高，融创中国涨超7%，华润置地、越秀地产、世茂集团、碧桂园、万科企业涨超3%。 科网股集体低迷，哔哩哔哩跌近5%，腾讯控股跌逾3%，百度集团跌2.55%。 芯片股走低，上海复旦跌近9%，兆易创新跌6%，华虹半导体跌逾5%，中芯国际跌近3%。 ...

Group 1: Memory Market Insights - The general manager of Winbond, Chen Peiming, announced that prices are expected to continue rising, with contract prices for this and next season maintaining similar increases as Q4 of last year [2] - Despite rising prices, demand remains strong, with customers eager to secure production capacity, leading to full bookings for both existing and new capacities through 2027 [2] - The memory market is described as "very good," with Winbond planning to increase prices quarterly while customers are willing to accept these increases [2] Group 2: DRAM and Flash Memory Production - Winbond is expanding production capacity at its Kaohsiung facility, with DRAM installations expected to begin in mid-June, while Flash memory installations will start even earlier [2] - There is a significant supply shortage in DDR4, prompting some customers to downgrade to DDR3, but Winbond aims to maximize output, particularly focusing on the growth potential of LPDDR4 [2] Group 3: Passive Components Price Trends - Passive components, including MLCCs, are experiencing price increases, with recent adjustments in the Chinese market showing price hikes of up to 20% [3] - Major Taiwanese manufacturers like Yageo and Walsin are expected to follow suit with price increases in their contract prices due to the overall upward trend in passive component pricing [3][4] Group 4: Market Dynamics for Passive Components - The demand for tantalum capacitors has surged due to their adoption in high-end AI servers, leading to significant price increases of 20-30% for large-sized polymer tantalum capacitors [4][5] - The increasing use of MLCCs is attributed to their small size and reliability, making them essential in high-density AI server applications [4] Group 5: Financial Outlook for Key Players - Yageo's revenue from tantalum capacitors is approximately 18-22%, with MLCCs contributing 18-20% to its revenue, indicating a diversified product line benefiting from current market trends [5] - Japanese companies Murata and TDK have also reported positive financial forecasts, with Murata's order-to-shipment ratio exceeding 1 for five consecutive quarters, indicating strong demand [5][6]

人工智能（AI）芯片巨头英伟达（NVIDIA）执行长黄仁勋今天接受美国财经媒体CNBC专访表示，英 伟达将考虑参与OpenAI下一轮募资和首次公开募股（IPO）。 黄仁勋告诉CNBC，近期有报导指称英伟达对OpenAI投资计划停滞，但英伟达对后者的投资案仍按原定 计划进行。 英伟达去年9月宣布计划对聊天机器人ChatGPT开发商OpenAI投资多达1000亿美元。 黄仁勋对节目主持人克芮麦（Jim Cramer）说：「我们将参与下一轮募资，这一点无庸置疑。一切按计 划进行，没有任何问题。」 路透社本周稍早披露，OpenAI对英伟达最新一代AI芯片不甚满意，去年起开始寻求替代方案，可能使 这两家在AI热潮中最受瞩目企业的关系更加复杂。 OpenAI执行长阿特曼（Sam Altman）在社群平台X发文澄清说，英伟达生产「世界上最好的AI芯 片」，OpenAI希望长期成为其「巨大客户」。 ...

经历了"黑色星期一"后亚太股集体回升，后市将有怎样的表现？ 亚太股集体反弹 2月3日，亚太股市强势反弹，MSCI亚太指数上涨2.79%，录得4月以来最大单日涨幅，科技股全线上 涨。 受到隔夜美国制造业数据上升等因素的影响，亚太股市显著回升。 2月3日，韩国综合指数止跌反弹并领涨亚太股市，收涨6.84%或338.41点，报5288.08点。其中芯片制造 商三星电子和SK海力士成为最大的助推力。三星股价盘中涨幅一度扩大至10%，创2020年3月以来最大 单日涨幅。日经225指数收涨3.92%，报54720.66点，再创历史新高。 其他亚太股市均录得上涨。3日，澳大利亚S&P/ASX200指数收涨0.89%，报8857.1点。东南亚股市方 面，富时新加坡海峡指数收涨1.06%，报4944.09点；印尼综指上涨2.52%，收报8122.6点；越南胡志明 指数涨0.33%，报1812.47点；菲律宾马尼拉指数收涨1.67%，报6401.96点；泰国SET指数上涨1.11%，报 1336.11点；富时马来西亚综指收涨0.42%，报1748.26点。 法国里昂商学院管理实践教授李徽徽向21世纪经济报道记者表示，3日亚太股市 ...

Group 1 - Elon Musk highlighted the limited timeframe of 2000 days for humanity's transition from a "carbon-based civilization" to a "silicon-based civilization" [1] - Musk emphasized that China's ultimate advantage lies not in widely discussed "core competencies" like chips, but in its long-ignored "foundational capabilities" [1] - The energy infrastructure in China, characterized by stable, cheap, and clean electricity supply, is becoming a significant advantage over the West [5][7] Group 2 - Predictions based on Musk's timeline suggest that by 2026, AI intelligence will surpass the smartest human individuals, and by 2029, it will exceed the total intelligence of humanity [3] - The energy demands of silicon-based civilization are immense, with Musk expressing concern that energy support may not keep pace with technological advancements [3] - China's total electricity consumption is projected to exceed 10.4 trillion kilowatt-hours by 2025, three times that of the United States [5] Group 3 - The construction of China's ultra-high voltage transmission lines, totaling 46 with a capacity of 370 million kilowatts, supports the country's energy needs [5][7] - By 2025, China is expected to add 370 GW of wind and solar capacity, accounting for nearly half of the global total, establishing a solid energy foundation for silicon-based civilization [7] - The density of industrial robots in China reached 392 units per 10,000 people by 2025, significantly higher than that of the United States, indicating deep integration of AI in manufacturing [12] Group 4 - China's approach to circumventing technological barriers, such as using "self-etching technology" to achieve 1-nanometer circuits, demonstrates its innovative capabilities despite external pressures [10] - The integration of AI and robotics in manufacturing is expected to drastically reduce labor costs, with Tesla's factories potentially operating continuously at high efficiency [12] - The ongoing evolution of China's internet industry amidst technological restrictions showcases its ability to grow through exploration and innovation [14]

Group 1 - SiTime is set to acquire Renesas Electronics' timing division for approximately $3 billion (about 20.8 billion RMB), which focuses on signal synchronization devices for wireless infrastructure [1] - The acquisition is expected to be the largest in SiTime's history, with negotiations ongoing and a potential announcement coinciding with Renesas' annual performance report [1][2] - SiTime's stock has surged by 83% over the past 12 months, giving it a market capitalization of around $9.8 billion, while Renesas' stock has increased nearly 30%, with a market cap of approximately 4.9 trillion yen (about $310 billion) [2] Group 2 - The sale of the timing division will provide Renesas with additional funds to pursue acquisitions in high-growth areas and transition towards a platform-based business model [2] - Renesas has already made a strategic acquisition of Altium Ltd., an American electronic design software provider, in 2024, indicating a shift from one-time product sales to other business models [2]

Core Insights - The company reported preliminary fourth-quarter results on February 3, exceeding market expectations for both core profit and revenue [1][4] - The strong revenue performance was attributed to the deferral of third-quarter orders to the fourth quarter and the early completion of some orders scheduled for early 2026 [1][4] - The company's CEO highlighted that demand in multiple end markets, particularly in the artificial intelligence sector, supported performance, although pricing factors and product mix issues continued to weigh on the operating environment [1][4] Financial Performance - The company disclosed an EBITDA of €86 million (approximately $102 million) and revenue of €372 million for the quarter, surpassing analyst expectations of €75.8 million and €333.7 million respectively [1][4] - The CEO noted that without the recent shutdown of a 150mm wafer factory and the impact of a weaker dollar, revenue for 2026 could have remained flat compared to the previous year [1][4] Market Outlook - Investors are closely monitoring whether the long-term downturn in the chip manufacturing industry is showing signs of recovery, with particular attention on the European market [1][4] - The European chip market, primarily driven by automotive manufacturers and industrial suppliers, has faced dual pressures from weak demand and high costs in the post-pandemic years [1][4] - The company stated that it is too early to provide guidance for 2026, indicating that while demand for the new generation of 300mm wafers is growing, demand for the more mature 200mm silicon wafers will continue to remain weak [5][6] - The company anticipates that the market environment in 2026 will remain challenging, with the impact of factory shutdowns first reflected in its performance [6]

Core Insights - Tsinghua University has developed a fully flexible artificial intelligence chip, filling a gap in flexible electronics technology and providing dedicated, scalable, and low-power hardware support for AI applications [1][2] Group 1: Technology and Innovation - The flexible electronic devices are transforming applications in wearable medical technology, implantable neural recording, human-computer interaction, and the Internet of Things due to their ultra-thin, lightweight, customizable, and low-cost advantages [1] - The FLEXI chip, designed for edge intelligence acceleration, utilizes low-temperature polycrystalline silicon CMOS technology, combining lightweight, low-cost, and high energy efficiency [1] - FLEXI can integrate up to approximately 265,000 transistors and achieves stable, high-speed, and parallel dot product operations through a cross-layer collaborative optimization strategy [1] Group 2: Performance and Reliability - Experimental results indicate that the FLEXI chip can withstand over 40,000 bending cycles at a 1mm radius and 180° fold without significant performance degradation [2] - The chip demonstrates high reliability, excellent energy efficiency, high yield, and good scalability while maintaining stable, error-free operation under high-frequency computing, extreme mechanical stress, and accelerated aging conditions [2] - FLEXI exhibits over six months of long-term stability, laying a solid foundation for the application of flexible electronic devices in mobile healthcare, embedded intelligence, and other edge computing scenarios [2] Group 3: Academic Recognition - The research findings were published in the prestigious journal Nature on January 28, under the title "A Flexible Digital In-Memory Computing Chip for Edge Intelligence" [2]