Core Viewpoint - Nvidia's multi-year rally may be entering a bearish phase, with technical signals indicating a potential correction towards the $100 region, representing a 47% drop from the last closing price of $189 [1]. Technical Analysis - Nvidia has traded within a defined ascending channel for approximately 12 years, experiencing multiple bull and bear cycles, with recent price action mirroring prior cycle peaks [3]. - The stock recently tested a lower-highs zone near the channel's upper boundary before a sharp pullback, with the monthly RSI showing a bearish divergence, indicating a potential end to the bullish trend [4]. - The RSI has rolled over from overbought levels, and the stock has broken below its 50-week moving average, historically signaling deeper bear phases [6]. - Past corrections have typically extended to the 200-week moving average, which currently sits near $100, forming a downside target [7]. Fundamental Outlook - Nvidia's fiscal Q4 2026 earnings report, due on February 25, is projected to show revenue between $65.6 billion and $65.9 billion, reflecting a 67% year-over-year increase driven by AI demand [8]. - Analysts forecast an adjusted EPS of $1.52 and gross margins around 75%, with a consensus price target of $255.82, implying a 36% upside from the current price of $188 [8]. - Despite bullish sentiment on hyperscaler capex and Blackwell ramps, high expectations may lead to volatility if results do not meet projections [9].

Group 1: Israel Englander's Investment Moves - Hedge fund manager Israel Englander sold 3 million shares of Nvidia, reducing his position by 17%, and bought 543,300 shares of Palantir Technologies, doubling his stake [1][2] - Englander's hedge fund, Millennium Management, outperformed the S&P 500 by 38 percentage points over the last three years [1] Group 2: Nvidia Overview - Nvidia is a leader in the AI infrastructure market, known for its graphics processing units (GPUs) that accelerate AI applications [4] - The company's strength lies in vertical integration, providing a complete solution for AI with superior GPUs and data center hardware [5] - Wall Street expects Nvidia's earnings to grow at 38% annually over the next three years, making its current valuation of 47 times earnings attractive [6] - Despite trimming his position, Nvidia remains the third-largest holding in Englander's hedge fund, indicating continued confidence in the company [7] Group 3: Palantir Overview - Palantir Technologies specializes in data integration and analytics platforms, focusing on AI software that enables developers to build large language models [9] - The company has received accolades for its AI software, with recognition from Forrester Research and Morgan Stanley as a leader in AI decisioning platforms [10] - Palantir's sales growth has accelerated for 10 consecutive quarters, achieving a Rule of 40 score of 127% in the fourth quarter [10] - Despite a 35% drop from its high, Palantir is the most expensive stock in the S&P 500, trading at 72 times sales, significantly higher than its peers [10] - Englander's small position in Palantir suggests he may anticipate a rebound, although it does not rank among his top 50 holdings [11]

Core Insights - Meta Platforms and Nvidia have formed a new partnership focused on AI infrastructures [1] Group 1: Company Developments - The partnership aims to enhance AI capabilities and infrastructure, potentially impacting the AI stock market positively [1] - Nvidia's stock price showed a slight increase of 1.02% on February 18, 2026, indicating market optimism regarding the partnership [1] Group 2: Industry Implications - The collaboration between Meta and Nvidia is expected to drive advancements in AI technologies, which could lead to increased competition among AI stocks [1] - The partnership may set a precedent for future collaborations in the tech industry, particularly in AI development [1]

英伟达与OpenAI的千亿美元投资协议可能打了三折。 双方公开维护合作关系 尽管交易结构发生重大变化，OpenAI首席执行官Sam Altman和黄仁勋一直试图消除有关两家公司关系 降温的报道。 据英国《金融时报》周五报道，英伟达即将敲定对OpenAI的300亿美元股权投资，作为这家人工智能初 创公司大规模融资轮的一部分，标志着双方关系从复杂的长期承诺转向更直接的资本安排。报道援引知 情人士称，英伟达正处于与OpenAI谈判的最后阶段，这笔投资最早可能在本周末完成。 据华尔街见闻此前文章，最初的1000亿美元交易因英伟达内部对交易条款产生疑虑而陷入停滞，黄仁勋 近几个月私下向业内人士强调该协议并无约束力且未最终敲定。 这笔300亿美元股权投资是OpenAI更大融资计划的组成部分。据知情人士称，该融资轮有望筹集超过 1000亿美元，将使OpenAI估值达到7300亿美元，不包括新注入资金。OpenAI将把大部分新资本再投资 于英伟达硬件，但双方不会推进去年9月宣布的1000亿美元多年期投资合作关系。 从复杂协议到直接股权投资 去年9月宣布的协议以"意向书"形式将人工智能热潮核心的两家公司紧密联系在一起，并在几周 ...

Core Insights - Nvidia has experienced a remarkable stock increase of nearly 27,000% over the past decade, making it a significant investment opportunity for those who recognized its potential [1] - A $10,000 investment in Nvidia made a decade ago would now be worth $2.7 million, highlighting the life-changing financial impact for retail investors [2] - Despite the extraordinary past performance, Nvidia is expected to continue delivering market-beating returns, making it an attractive buy at present [2] Company Growth - Nvidia's growth is closely linked to the surge in AI infrastructure spending within the tech sector, with hyperscalers investing heavily in AI computing equipment [4] - Analysts project Nvidia will report a 57% revenue growth for fiscal 2026 and an acceleration to 65% for fiscal 2027, indicating strong future performance [5] - The capital expenditure plans of major hyperscalers, which total $650 billion for this year, support Nvidia's growth trajectory [7] Market Outlook - Nvidia anticipates that global data center capital expenditures will rise to between $3 trillion and $4 trillion annually by 2030, suggesting a robust future demand for its products [8] - The current valuation of Nvidia, at under 24 times expected forward earnings, presents a compelling buying opportunity for investors [10] - The upcoming earnings report on February 25 is expected to be a significant event for Nvidia's stock, prompting potential investors to act quickly [10]

Group 1 - NVIDIA Corporation continues to lead the AI and gaming sectors, with a significant increase in revenue driven by strong demand for GPUs, reporting a year-over-year growth of 101% in Q2 2023 [1] - Micron Technology Inc is facing challenges due to a downturn in the memory chip market, with a projected revenue decline of 50% year-over-year for the fiscal year 2023 [1] - Palantir Technologies Inc is expanding its government and commercial contracts, showing a revenue increase of 22% year-over-year in Q2 2023, indicating strong demand for its data analytics solutions [1] Group 2 - The semiconductor industry is experiencing volatility, with supply chain disruptions and fluctuating demand impacting companies like Micron and NVIDIA [1] - The AI sector is driving growth for technology companies, with NVIDIA positioned as a key player benefiting from increased investments in AI infrastructure [1] - The overall market sentiment remains cautious, with investors closely monitoring earnings reports and guidance from major tech firms [1]

造芯片的还有高手？ 刚刚推出的一款最新芯片，直接冲上硅谷热榜。 峰值推理速度高达每秒17000个token。 什么概念呢？当前公认最强的Cerebras，速度约为2000 token/s。 速度直接快10倍，同时成本骤减20倍、功耗降低10倍。 这就意味着，LLM真正来到了亚毫秒级的即时响应速度。实机效果be like： 但这块一夜之间刷屏硅谷的芯片，并非出自英伟达、AMD之手，而是一家成立仅两年、团队仅有24人的初创公司——Taalas。 芯片代号HC1，也是公司的首款产品。 不同于所有竞争对手，Taalas选择了迄今为止最极端的技术方案—— 模型不再加载到内存里，而是直接刻在硅片上。换言之，芯片即模型。 结果显而易见，Taalas撬动了芯片算力护城河：H100买不到，试试HC1又何妨？ 速度快10倍，功耗降至10分之一 HC1目前搭载Llama 3.1 8B模型，用户每秒最高可生成17000 token/s，远高于主流GPU/ASIC。 其中，在同一模型下Cerebras接近每秒2000个token，SambaNova约为每秒900个token，Groq约为每秒600个，英伟达Blackwell架构的B2 ...

英伟达(NVDA.US)通过扶持CoreWeave构建的"算力-金融"闭环实在太诱人，逼得谷歌(GOOGL.US)和 AMD(AMD.US)不得不"摸着石头过河"，试图用真金白银砸出一个属于自己的AI芯片生态圈。 2月20日，据媒体援引知情人士消息，谷歌正在探索利用其雄厚的财力来构建更广泛的AI生态系统，核 心策略就是向数据中心合作伙伴提供资金支持，条件是对方必须使用谷歌的TPU芯片。与此同时，华尔 街见闻写道，AMD也在通过为客户贷款提供担保的方式，激进地推广其AI芯片。 这一策略被市场视为对英伟达"CoreWeave模式"的直接复刻——即通过扶持"新兴云（Neocloud）"厂 商，绕开已经被英伟达占领或自研芯片的传统云巨头，建立自己的"嫡系部队"。 效仿英伟达路线：注资"新型云"与矿企 知情人士透露，谷歌正在洽谈向云计算初创公司Fluidstack投资约1亿美元。这笔交易对Fluidstack的估值 约为75亿美元。 这种做法虽然能短期推高销量，但也让芯片厂商在AI需求放缓时面临巨大的风险敞口。一旦市场遇 冷，AMD的资产负债表将直接承受冲击。 为何都要绕路走？ 这不仅是一笔财务投资，更是一次战略绑定。 ...

Core Viewpoint - AI spending continues to grow despite market fluctuations, indicating a bullish trend for companies involved in AI, with expectations of sustained growth in the coming years [1] Group 1: Nvidia - Nvidia remains a leading provider of computing units in the AI sector, with significant improvements in its chip architecture, Rubin, which requires fewer GPUs for training and inference [4] - For fiscal year 2027, Nvidia is projected to grow at a rate of 65%, up from 57% in FY 2026, driven by accelerating demand for its GPUs [6] Group 2: Taiwan Semiconductor Manufacturing (TSMC) - TSMC is the largest chip foundry globally and benefits from the AI buildout, expecting nearly 30% revenue growth in U.S. dollars this year [7] - TSMC is well-positioned to capitalize on increased AI spending, with major hyperscalers planning to spend around $650 billion on capital expenditures [8] Group 3: Broadcom - Broadcom is emerging as a competitor in the AI computing landscape, offering ASICs that provide similar or better computing power at a lower price compared to Nvidia GPUs [9] - Demand for Broadcom's custom AI chips is surging, with management projecting revenue from AI chips to double in the upcoming quarter [11] Group 4: Microsoft - Microsoft is currently trading at a lower valuation, with a forward earnings ratio of 24, presenting a potential buying opportunity despite previous investor hesitance [12][14] Group 5: Alphabet - Alphabet has regained its position as a leader in generative AI, with its Gemini model and Google Cloud platform showing impressive growth [15] - While Alphabet may not have the same upside potential as other stocks, it is considered a solid foundation for a portfolio due to its strong prospects in AI innovations [16]

Group 1 - The tech sector is undergoing a transition to AI, with Nvidia positioned to benefit despite recent stock price declines [1][4] - Nvidia's CEO, Jensen Huang, believes the shift to AI will take years, indicating that the sector has not yet reached its peak [5] - Nvidia forecasts fiscal Q4 sales of $65 billion, a significant increase from the previous year's $39.3 billion, suggesting strong ongoing demand for AI [6] Group 2 - Nvidia's market cap is $4.6 trillion, with a current stock price of $189.67 and a gross margin of 70.05% [8] - The company is forming strategic partnerships, including a $5 billion investment in Intel, enhancing its manufacturing capabilities for future semiconductor chips [8] - The stock's forward earnings multiple has dropped to levels not seen since the previous administration's tariff policies, indicating an attractive valuation for potential investors [10]