Weekend reading that never gets old. The case of the relevance of an 1880 presentation @smithsonian to today’s debate on what scaling “AI” through LLMs gets us. $NVDA $AVGO $METAhttps://t.co/BOJOVoVIQS https://t.co/iaozvl7t69 ...

Group 1 - A proprietary data product from 3Fourteen Research indicates near-zero GPU availability, signaling that demand for compute resources is exceptionally high and outpacing supply [2][3] - Nvidia reported Q4 FY2026 revenue of $68.13 billion, a 73.2% increase year-over-year, with Data Center revenue reaching $62.31 billion, up 75% year-over-year, making up 91.5% of total quarterly revenue [4][8] - The CEO of Nvidia, Jensen Huang, stated that Blackwell sales are extremely high and cloud GPUs are sold out, confirming the data from 3Fourteen Research regarding the accelerating demand for AI compute [5][8] Group 2 - Data Center Networking revenue surged 263% year-over-year to $10.98 billion in Q4, driven by the adoption of NVLink fabric, indicating that customers are expanding their infrastructure due to GPU shortages [6][8] - The 3Fourteen analyst describes the current AI capital expenditure supercycle as a "true north star" in the market, despite existing macroeconomic challenges [7] - The VIX index, which measures market volatility, increased by 53.4% over the prior month, indicating a turbulent market backdrop, with a current level of 27.29, placing it in the 93.8th percentile relative to the past year [7]

Core Insights - The article discusses two popular ETFs, the Vanguard Russell 1000 Growth ETF (VONG) and the State Street SPDR Portfolio S&P 500 ETF (SPYM), highlighting their different investment strategies and performance metrics. Group 1: Vanguard Russell 1000 Growth ETF (VONG) - VONG invests in growth stocks of large U.S. companies and has a significant allocation to technology stocks, with 59.7% of its holdings in this sector [5] - The ETF has gained approximately 24% over the past year, outperforming the S&P 500 index, which gained 20.8%, but underperforming the Nasdaq-100 index, which gained 28.4% [4] - VONG has delivered strong average annual returns of 26% over the past three years, 14.3% over five years, and 18.1% over ten years [4] - The fund holds a total of 391 stocks, with its top five holdings being Nvidia (12.7%), Apple (10.8%), Microsoft (9.2%), Amazon (4.8%), and Broadcom (4.6%) [5] - VONG charges an expense ratio of 0.06%, making it a low-cost option for investors seeking tech-heavy exposure [5] Group 2: State Street SPDR Portfolio S&P 500 ETF (SPYM) - SPYM is a straightforward S&P 500 index fund that allows investors to own the entire S&P 500, representing about 80% of the U.S. stock market [2] - The ETF has delivered average annual returns of 21.8% over the past three years, 14.2% over five years, and 15.5% over ten years [6] - SPYM has less exposure to technology stocks compared to VONG, with only 33.3% of its holdings in the tech sector [7] - The top five holdings of SPYM are Nvidia (7.6%), Apple (6.6%), Microsoft (5.2%), Amazon (3.6%), and Alphabet Class A (3.1%) [7]

Core Insights - The U.S. government has withdrawn a proposed global licensing system for AI chip exports, which would have imposed significant constraints on Nvidia and AMD's international sales [1][2] - This withdrawal is expected to remove a near-term growth constraint for Nvidia, potentially unlocking new growth momentum [1] - Despite the withdrawal, existing export controls, particularly regarding China, remain in place, indicating that challenges still exist for Nvidia's international operations [1] Company Impact - Nvidia's AI chips are in high demand, with record data-center revenue contributing to its status as a trillion-dollar company [1] - The proposed export restrictions could have effectively doubled costs for foreign buyers, impacting Nvidia's pricing power and deal closures [1] - The removal of the proposed licensing rule has led to a positive market reaction, with Nvidia and AMD shares rising immediately after the announcement [1] Industry Context - The AI chip market remains competitive, with Nvidia's growth story heavily reliant on international sales and global scale [1] - The previous proposed regulations would have created a tiered approval system for AI chip exports, complicating international transactions and potentially pushing customers towards alternative suppliers [1] - The ongoing demand for Nvidia's chips and the acceleration of production ramps are critical for the company's future growth, but market confidence hinges on the demonstrable ROI from AI deployments [2]

Core Viewpoint - Nvidia is a leading player in the AI sector, having reported strong earnings for Q4 of fiscal year 2026, yet its stock price fell post-announcement, indicating market skepticism despite its pivotal role in the AI boom [1][2]. Group 1: Financial Performance - Nvidia's Q4 revenue reached an all-time high of $68.1 billion, with a record revenue of $62.3 billion from its data center division, marking a 75% increase year-over-year [6]. - The company forecasts Q1 revenue of $78 billion, significantly up from $44.1 billion in the previous year, indicating strong future growth potential [7]. Group 2: Market Position and Partnerships - Nvidia maintains a dominant position in the AI semiconductor market, particularly with its GPUs, which are essential for AI data processing [4]. - The company secured a multiyear partnership with Meta Platforms to supply millions of GPUs, reflecting the substantial investments tech companies are making in AI infrastructure [5]. Group 3: Expansion Beyond Chips - Nvidia is diversifying its revenue streams beyond chip manufacturing, particularly in data center networking, where sales surged 263% year-over-year to $11 billion in Q4 [10]. - The company is also collaborating with telecommunications firms to develop 6G networks, which will support AI applications requiring high data bandwidth [12]. Group 4: Future Innovations - Nvidia is venturing into quantum computing with its NVQLink architecture, which connects GPUs to quantum computers, enhancing computational capabilities [14]. - The market for AI-related infrastructure is projected to grow from $59 billion in 2025 to nearly $500 billion by 2034, providing a favorable environment for Nvidia's continued expansion [11]. Group 5: Investment Opportunity - Following the recent earnings report, Nvidia's forward price-to-earnings (P/E) ratio has decreased to about 22, presenting an attractive valuation for potential investors [15][17].

Core Viewpoint - The upcoming event, likened to a "Super Bowl" for Nvidia fans, may not significantly boost Nvidia's stock according to analysts [1] Group 1 - Analysts express skepticism about the potential impact of the event on Nvidia's stock performance [1]

subscription can enhance your stock market investing performance:- Top Ideas: See what stocks billionaire investors such as Warren Buffett, Michael Burry, and George Soros are buying.- Advanced Stock Screener: Search for the best stocks based on hundreds of selected filters, and criteria.- InvestingPro Fair Value: Instantly find out if a stock is underpriced or overvalued.- ProPicks AI: AI-selected stock winners with proven track record.SAVE 50%!!Disclosure: This is not financial advice. Always conduct your ...

Group 1 - Nebius Group (NASDAQ:NBIS) increased by 29.59% after announcing a partnership with NVIDIA Corporation (NASDAQ:NVDA) for hyperscale cloud deployment, which includes a $2 billion investment from NVIDIA [1] - NIO Inc. (NYSE:NIO) gained 21.12% following the release of its latest quarterly results, with HSBC upgrading the stock from Hold to Buy and raising the price target from $4.80 to $6.80 [1] - XPeng Inc. (NYSE:XPEV) jumped 6.68% after rolling out its second-generation Vision-Language-Action (VLA 2.0) system and starting production of a jointly developed electric SUV with Volkswagen [2] - Micron Technology, Inc. (NASDAQ:MU) increased by 16.99% after announcing a collaboration with Applied Materials, Inc (NASDAQ:AMAT) to develop next-generation DRAM and NAND solutions for AI systems [3] - Ciena Corporation (NYSE:CIEN) gained 13.34% after announcing innovations to meet AI-driven bandwidth demands, with TD Cowen initiating coverage with a Buy rating and a price forecast of $425 [4] - Bloom Energy Corporation (NYSE:BE) increased by 14.83% as AI data centers seek to bypass traditional utility grid delays, offering solid oxide fuel cells for 24/7 electricity [4]

下周美股市场将迎来"超级周"。从英伟达（NVDA）的GTC开发者大会到美联储利率决议，再到周 五的"三巫日"与标普指数成分股大调整，多重催化剂将主导市场波动。 Dollar Tree、 Lululemon、阿里巴巴等重磅财报亦不容错过。 科技界的目光将齐聚圣何塞，为期四天的 NVIDIA GTC 大会 正式拉开帷幕。 基于期权交易量， Flutter Entertainment (FLUT) 和 AXT (AXTI) 本周可能面临大幅波动。 超买股（RSI高位）： Itafos (ITFS), Alto Ingredients (ALTO), Cabral Gold (CBGZF)。 以下是下周每日关键事件深度梳理： 超卖股（RSI低位）： 周一（3月16日）：英伟达GTC大会领衔，科技股聚焦AI 核心焦点：英伟达 GTC 大会 Cion Investment (CION), Sotera (SHC), eXp World Holdings (EXPI)。 高做空兴趣： Better Home & Finance (BETR) 和 Lucid Group (LCID) （后者刚结束投资者日）。 下周将有大量分 ...

Core Viewpoint - Stock splits are often perceived as positive catalysts for share prices, making them more accessible to retail investors, but fundamentally, they do not change the underlying business dynamics [1] Group 1: Stock Splits and Performance - Since 2020, five of the Magnificent Seven stocks (Apple, Amazon, Alphabet, Nvidia, and Tesla) have executed stock splits, while Meta Platforms has never split and Microsoft's last split was in 2003 [2] - The post-split performance of these stocks has been mixed, with only two (Alphabet and Tesla) outperforming the S&P 500 since their respective split dates [3][4] - The total returns from each split date through March 13 show that only Alphabet and Tesla's initial splits delivered market-beating returns, while Apple, Amazon, and Nvidia lagged behind the S&P 500 [4] Group 2: Outperformers - Alphabet's 20-for-1 split on July 18, 2022, resulted in a 176.5% return, significantly outperforming the S&P 500's 82.7% gain, driven by its strong search franchise and growth in YouTube ad revenue [5] - Tesla's five-for-one split in 2020 produced a 135.5% gain, coinciding with increased EV adoption and advancements in autonomous driving technology [7] Group 3: Laggards and Potential Recovery - The remaining splitters (Apple, Amazon, Nvidia, and Tesla's 2022 follow-on) have underperformed, raising questions about their potential for recovery [9] - Apple's return of 99.6% since its 2020 split trails the S&P by six percentage points, but emerging AI features could provide new momentum [10] - Amazon's post-2022 split return of 66.4% is nearly four points behind the market, yet AWS AI workloads and e-commerce efficiency gains may act as catalysts for a rebound [10] - Nvidia's 48% gain since its June 2024 split is weak compared to the S&P's 86.6%, but its position as an AI hardware leader suggests potential for future growth [10] Group 4: Factors Influencing Future Performance - The potential for recovery among lagging stocks depends more on execution in AI, cloud, and autonomous technologies rather than the splits themselves [11] - While splits may lower psychological barriers for investors, sustained outperformance will be determined by earnings power and competitive positioning [11]