ASML and AMD aren't far behind Palantir.Palantir (PLTR +2.84%) has been one of the biggest winners in the artificial intelligence (AI) arms race over the past few years. The stock has been on an absolute tear and has risen by more than 2,600% since the start of 2023. However, not all of those returns are from business gains, and the stock has gotten a bit overheated.Currently, Palantir sports a $420 billion market cap (at the time of this writing), which places it inside the top 25 largest companies in the ...

Core Insights - Advanced Micro Devices (AMD) is positioning itself as a competitor in the artificial intelligence (AI) chip market, traditionally dominated by Nvidia [1][2] - AMD's recent advancements in data center GPUs, particularly the MI300 series, have shown competitive performance against Nvidia's offerings [8][9] - Despite facing challenges, AMD's growth potential in the AI sector is significant, with analysts projecting substantial revenue and earnings growth in the coming years [18][19] Company Positioning - Nvidia holds a dominant 94% market share in the discrete GPU market, while AMD controls approximately 6% [5] - AMD has historically attempted to compete with Nvidia by offering lower-cost GPUs, but has struggled to maintain this strategy as Nvidia expanded its product range [5][12] - AMD's MI300X GPUs have outperformed Nvidia's older H100 GPUs in benchmarks, providing a cost-effective alternative for companies [8][9] Market Dynamics - AMD's data center revenue growth has shown fluctuations, with year-over-year growth rates of 115% in Q2 2024, declining to 14% by Q2 2025 [11] - The company faces headwinds including export restrictions to China, competition from Nvidia's new H200 chips, and potential cooling sales of its current MI300X chips as new models are anticipated [12][13] Strategic Partnerships - AMD has secured significant AI contracts with Oracle and OpenAI, indicating a shift in preference among major AI companies to diversify away from Nvidia [16] - Oracle plans to deploy 50,000 AMD GPUs, while OpenAI aims to utilize AMD CPUs in its data centers, potentially reducing reliance on Nvidia's ecosystem [16][17] Future Outlook - Analysts forecast AMD's revenue and earnings per share (EPS) to grow at a compound annual growth rate (CAGR) of 30% and 86% respectively from 2024 to 2027 [18] - While AMD may not surpass Nvidia in overall market dominance, there is potential for both companies to coexist and thrive in the evolving AI chip market [19]

Core Insights - Intel reported Q3 2025 revenue of $13.65 billion, marking a 2.8% increase and the first year-on-year growth in a year and a half, exceeding analyst expectations [1] - The net profit reached $4.27 billion, a significant turnaround from a loss of $17 billion in the same period last year, achieving profitability for the first time since the end of 2023 [1] - Gross margin stood at 40%, also surpassing expectations, indicating a strong recovery in financial performance [1] Company Performance - Intel's revenue, profit, and gross margin all exceeded expectations, suggesting a significant recovery for the company [3] - The current CEO, Pat Gelsinger, has been credited with implementing major reforms, including divesting unprofitable businesses and securing funding from the U.S. government, Nvidia, and SoftBank, while also focusing on AI and adjusting the foundry business [3] Industry Context - AMD, another major player in the CPU market, also experienced a turnaround under the leadership of a Chinese CEO, Lisa Su, who took over in 2014 when the company was struggling [5] - Lisa Su implemented significant reforms at AMD, including cutting unprofitable projects and laying off non-contributing employees, while also developing competitive products like the Zen architecture and partnering with TSMC for advanced manufacturing processes [7] - AMD's market share has been steadily increasing, with projections indicating it may catch up to Intel in the server CPU market by 2025 [9]

Group 1: Alibaba Trade - Ark Invest made substantial purchases of 68,939 shares of Alibaba across multiple ETFs, totaling nearly $11.85 million at a stock price of $171.90 [2][3] Group 2: Baidu Trade - Ark Invest acquired 54,194 shares of Baidu, valued at approximately $6.5 million with the stock closing at $120.48, following Baidu's partnership with PostBus for an autonomous mobility service in Switzerland [4] Group 3: AMD Trade - Ark Invest sold 9,910 shares of AMD through its ARKW fund, amounting to about $2.3 million at a closing price of $234.99, amid market volatility related to leaked specifications of future Ryzen chips [5] Group 4: Tempus AI Trade - Ark Invest sold 57,247 shares of Tempus AI, valued at $4.98 million with the stock closing at $87.04, following a study by Tempus subsidiary Ambry Genetics on proactive exome reanalysis [6] Group 5: Other Key Trades - Additional trades included selling shares of SoFi Technologies, Roku, Shopify, and Roblox across various funds, indicating a broader strategy in managing the portfolio [9]

中概股集体上涨，纳斯达克中国金龙指数收涨1.66%。迅雷涨超7%，阿里巴巴、禾赛、世纪互联、好未 来涨超3%，百度、文远知行涨近3%，京东、搜狐、万国数据涨超2%，理想汽车、小鹏汽车、知乎、爱 奇艺、微博、网易涨超1%，蔚来涨0.73%，极氪跌0.8%。 "双普会"新进展，普京称"更像改期" 昨夜，美股、中概股和黄金齐涨。 当地时间10月23日（周四），美股三大指数全线上涨，截至收盘，道琼斯工业平均指数涨幅0.31%，标 普500指数涨幅为0.58%，纳斯达克综合指数涨幅为0.89%。中概股多数上涨，纳斯达克中国金龙指数涨 1.66%。 科技股上涨，中概股反攻 当地时间周四，美股大型科技股多数上涨，英特尔涨超3%，特斯拉涨超2%，亚马逊和英伟达涨超1%， 苹果、谷歌、Meta、微软均小幅上涨，而奈飞小幅下跌0.25%。存储概念股普涨，闪迪涨超13%，股价 创下历史新高；西部数据涨超5%，希捷科技和美光科技涨超4%。 超威电脑股价大跌8.72%。消息面上，公司下调了2026财年首季营收指引，最新预计营收将达50亿美 元，远低于早前预测的60亿至70亿美元，原因是大型人工智能项目的客户交付计划发生变化。此外，公 ...

Core Insights - Supermicro has announced the launch of its new MicroBlade multi-node solution powered by AMD EPYC 4005 series CPUs, aimed at providing powerful performance, efficiency, and affordability for data centers [1][2][3] Product Features - The MicroBlade system can accommodate up to 160 servers and 16 Ethernet switches in a single 48U rack, offering significant computing power with integrated management features [2][7] - The design of the MicroBlade systems allows for up to 95% cable reduction, 70% space savings, and 30% energy savings compared to traditional 1U servers, enhancing total cost of ownership (TCO) for enterprises [3][7] - Each MicroBlade server blade supports a single AMD EPYC 4005 CPU with up to 16 cores and 192GB DDR5 memory, making it suitable for various applications including dedicated hosting, VDI, online gaming, and AI inferencing [5][6] Technical Specifications - The AMD EPYC 4005 CPUs feature up to 16 cores and 32 threads with a thermal design power (TDP) as low as 65W, balancing performance and efficiency [6] - The MicroBlade system includes dual-port 10GbE network switches and redundant chassis management modules, simplifying network topologies and reducing management complexity [4][5] Market Positioning - Supermicro positions the MicroBlade as a cost-effective, green computing solution tailored for Cloud Service Providers, emphasizing its high density and efficiency compared to traditional server architectures [2][7] - The company aims to support modern data center needs with its innovative building block architecture, which allows for flexible configurations and scalability [3][8]

AI & Retail Industry Focus - AI agents are the next level of AI, bringing outcomes to retail environments, where operational efficiency is key due to slim margins and budgets [2] - Retailers need to implement AI but often don't know where to start; solutions like Wobot offer easy accessibility [3][4] - The industry emphasizes speed of service and frictionless online-to-offline experiences, making checkout experience optimization a high-ROI starting point [6] Wobot's Solution & Technology - Wobot's video agents on the edge minimize bandwidth throughput while leveraging existing infrastructure to deliver outcomes in retail [3] - Wobot offers 100 automated out-of-the-box use cases, turning existing infrastructure into business intelligence insights [5][6] - Wobot enables integration with other systems, correlating visual data with transactional data for multimodal analysis [7][8] - Wobot combines data sets like QoS transaction level data to understand customer behavior and its impact on sales [8] - Wobot provides trend-level and predictive analytics, enabling retailers to make informed decisions [9] - Wobot's AI allows a human-centric view, freeing humans from base-level tasks to focus on high-impact work [9]

Retail IT Challenges & Solutions - Retailers face challenges including thin margins, lack of on-site IT staff, and the critical need for infrastructure to sustain operations [1] - Downtime in larger retailers can cost $9,000 per minute, highlighting the importance of uptime [2] - AMD, HPE, and StorMagic offer solutions focused on efficiency, sustainability, and ease of deployment for retail environments [3][4][8] Technology & Product Highlights - The AMD EPYC processor and HPE DL145 server are designed for sustainability and cost-effectiveness without sacrificing performance [3] - StorMagic's software, combined with efficient hardware, reduces total cost of ownership and allows for scalable growth [4] - HPE DL145 Gen11 ProLiant server with integrated StorMagic is designed for edge deployment, with acoustics suitable for store floors (under 45 dBA) and filtering capabilities for challenging environments [7][8] - AMD CPUs offer high core density (up to 192 cores) and a node-based licensing model, simplifying budgeting and allowing for flexible hardware upgrades [5][6] - AMD 8004 series CPUs are energy-efficient, offering leadership in performance per watt per dollar [8] Partnership & Value Proposition - The partnership between AMD, HPE, and StorMagic provides validated, readily deployable solutions for retailers [5] - StorMagic emphasizes trust and reliability at the edge, ensuring stores remain operational [9]

Industry Focus - AMD focuses on the retail and e-commerce sectors, showcasing its EPYC Server Business Unit at NRF Europe 2025 [1] - The retail industry is seeing trends that enable AI use cases at the edge [2] Partnerships - AMD partners with StorMagic, experts in virtualization at the edge for retail [2] - AMD collaborates with Wobot AI, a multimodal AI company providing insights at the edge with a low-code, no-code platform [2] - AMD partners with Supermicro to host a Happy Hour event, engaging with customers alongside Wobot and StorMagic [2] Technology and Solutions - StorMagic specializes in virtualization at the edge, particularly in the retail space [2] - Wobot AI offers a physical AI, multimodal AI platform for solving insights at the edge in retail [2]

Edge Computing & AI Solutions - AMD focuses on edge-focused, hyper-converged infrastructure to support applications solving specific market problems [2] - Wobot concentrates on building a model plus layer to demonstrate the return on investment of their application in quick-serve restaurants, retail, manufacturing, and stadiums [3] - AMD aims to integrate solutions like StorMagic and Wobot into OEM platforms, offering cost-effective virtualization at the edge with AI capabilities [4] - The combined software solution enables customers to leverage AI integrated solutions on existing hardware, with multiple vendor options powered by AMD for future refreshes [11][12] Retail Industry Focus - Retailers operate with small budgets at the store level, emphasizing the total cost of ownership [6] - The solution aims to solve the problem of converging multiple data streams for retailers, reducing endpoint hardware [7] - Camera technology consolidates various functions, replacing IoT sensors and enabling customer counting and conversion rate tracking [9][10] - Edge-based virtualization and multimodal AI are critical to support various markets, including retail, public sector, healthcare, life sciences, and manufacturing [12][13] Key Benefits - StorMagic operates on as few as two nodes for high availability, simplifying video components and potentially replacing other data source analyzers [8] - The integrated solution offers best-in-class, cost-effective virtualization at the edge, bundled with AI capabilities for generative AI, physical AI, computer vision, and multimodal integration [4] - The solution enables retailers to achieve new outcomes and insights previously unattainable, highlighting that the data center is not the edge [5]