Core Insights - IBM has successfully demonstrated the ability to run a crucial quantum computing algorithm using standard chips from Advanced Micro Devices (AMD) [2] Group 1 - The demonstration highlights the versatility and applicability of IBM's quantum algorithm beyond specialized hardware [2] - Jay Gambetta, IBM's vice president overseeing quantum initiatives, emphasized the significance of this achievement for the future of quantum computing [2]

Core Insights - IBM has successfully executed a key quantum computing algorithm using commonly available chips from Advanced Micro Devices, marking a significant step towards the commercialization of advanced quantum computers [1] Company Developments - The collaboration between IBM and Advanced Micro Devices highlights the potential for integrating quantum computing with existing semiconductor technology, which could accelerate the development of practical quantum applications [1] Industry Implications - This advancement indicates a growing trend in the quantum computing sector, where leveraging existing technologies may lead to faster commercialization and broader adoption of quantum solutions in various industries [1]

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]

Market Performance - US stock markets saw a broad increase, with the Dow Jones Industrial Average rising by 0.31%, the S&P 500 up by 0.58%, and the Nasdaq Composite gaining 0.89% as of the close on October 23 [1] - The Nasdaq Golden Dragon China Index, which tracks Chinese stocks listed in the US, increased by 1.66% [1] Technology Sector - Major US tech stocks mostly rose, with Intel up over 3%, Tesla over 2%, and Amazon and Nvidia each rising over 1% [2] - Notable gains were seen in storage stocks, with SanDisk surging over 13% to reach a record high, and Western Digital up over 5% [2] - AMD's stock fell by 8.72% after the company lowered its revenue guidance for Q1 2026 to $5 billion, down from a previous estimate of $6-7 billion due to changes in AI project delivery schedules [2] Chinese Stocks - Chinese stocks collectively rose, with notable increases including Xunlei up over 7%, Alibaba, Hesai, and Century Internet each up over 3% [3] - Other companies like Baidu and WeRide saw gains close to 3%, while JD.com and Sohu rose over 2% [3] Gold Market - COMEX gold futures rose by 1.91% to $4,143.2 per ounce, although there was a slight pullback later [5] - JPMorgan remains bullish on gold, predicting an average price of $5,055 per ounce by Q4 2026, a potential increase of about 15% from the recent high of $4,381 [5] - The forecast is driven by sustained demand for gold from global investors and central banks, estimated at around 566 tons [5] Long-term Outlook on Gold - Guojin Securities suggests that gold pricing reflects the collapse of the dollar-dominated international order, driven by low global growth and stagnation in technological progress [6] - The report indicates that gold prices may face downward risks if new technological advancements significantly boost productivity [6]

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]