and uh Kevin Hanks live at CBOE for our prefelt playbooks. Uh we have Nvidia front and center and it really is going to be a an historic moment because of how elevated we are. Some of your thoughts.>> Good morning, Nicole. Yeah, Nvidia is going to affect all you have to do is look across the Thinker Swim platform to the amount of highprofile names that have one day expected moves because of uh event, you know, the event levels of implied volatility. And you notice that it's probably 20 high-profile names ar ...

Core Insights - Global spending on AI is projected to reach nearly $1.5 trillion in 2023 and could exceed $2 trillion by 2026 [1] - Nvidia, with a market cap of $4.5 trillion, is a key player driving innovation in the AI sector [1] Company Partnerships - Nvidia has a long-standing partnership with OpenAI, dating back to 2016 when it delivered the first AI supercomputer to OpenAI [4][5] - The recent deal with OpenAI allows Nvidia to sell directly to them, marking a shift from previous cloud-based sales [6][7] - Nvidia's unique position in the market is highlighted by its ability to provide complete AI infrastructure, including CPUs, GPUs, networking chips, and software [7] Financial Dynamics - The partnership with OpenAI involves Nvidia potentially investing alongside other investors as OpenAI raises funds through revenues, equity, or debt [9] - Nvidia estimates that building AI factories will require about $50 to $60 billion for every gigawatt of capacity [8] Competitive Landscape - Nvidia's chips are described as special and superior, with the company emphasizing the need for a variety of chips to build effective AI supercomputers [14][15] - The competitive strategy of AMD, which involves giving away a significant stake in the company to partner with OpenAI, is viewed as surprising and risky [10][12] - Nvidia's ongoing innovation and optimization across its AI infrastructure are crucial for maintaining its competitive edge [15][16]

Core Insights - The rise of artificial intelligence (AI) represents a multitrillion-dollar global opportunity, with Nvidia currently leading the market [1][2] - Nvidia has added $4 trillion in market value since the end of 2022, primarily due to its GPUs powering AI-accelerated data centers [2] Financial Performance - Nvidia is expected to report $46 billion in second-quarter sales for fiscal 2026 and $1.01 per share in EPS, having surpassed consensus EPS projections in the previous four quarters [5][4] - The company's GAAP gross margin has increased significantly, peaking at 78.4% in the first quarter of fiscal 2025, driven by high demand for its Hopper chip [13][12] Market Dynamics - The Trump administration's recent approval for Nvidia to export its H20 chip to China may positively impact the company's full-year sales guidance [6] - Nvidia's CEO Jensen Huang aims to introduce a new AI-advanced chip annually, with updates expected on the ramp-up of Blackwell Ultra shipments and future chip developments [7][8] Competitive Landscape - Nvidia faces increasing competition from both external players like AMD and Huawei, and internal competition from major customers developing their own AI-GPUs [17][18] - The aggressive innovation cycle may risk depreciating the value of previous-generation AI-GPUs, potentially affecting upgrade cycles and gross margins [19][20] Key Metrics to Watch - The GAAP gross margin is a critical metric for investors, indicating whether AI-GPU scarcity persists and if Nvidia can maintain its premium pricing power [21][12]

Core Viewpoint - The semiconductor industry has experienced significant volatility, driven by the demand for AI infrastructure and data center buildouts, with major companies like NVIDIA, Amazon, and Microsoft leading the charge [1][2]. Group 1: Market Dynamics - The release of China's DeepSeek large language model raised concerns about potential cuts in infrastructure spending by hyperscalers, but first-quarter earnings showed an increase in spending by companies like Amazon and Microsoft [2]. - There are ongoing questions about a potential infrastructure glut, but the current buildout is still in progress, indicating growth opportunities for semiconductor stocks [3]. Group 2: Company Highlights - **Marvell Technology**: Specializes in application-specific integrated circuits (ASICs) crucial for data center operations, with a focus on high-margin contracts that support AI infrastructure. The stock has risen 23% since its first-quarter earnings report but remains about 30% below the consensus price target of $96.33 [4][5][7]. - **Broadcom**: Plays a vital role in AI infrastructure by providing connectivity solutions and custom AI accelerators. The stock has recovered to an all-time high after initial declines following earnings, indicating strong market confidence [8][9][10]. - **Advanced Micro Devices (AMD)**: Is positioning itself to capture market share from NVIDIA with its new Instinct MI325X accelerator, which has superior memory capacity. AMD's stock has increased over 24% in the last month, reflecting positive investor sentiment ahead of upcoming earnings [12][13][14].