Science at full speed, from single GPU to full data center scale 🦾 Ken Hester, NVIDIA Solution Architects Director, shares how NVIDIA’s full-stack approach, spanning hardware and a deep software stack, powers reference architectures that scale. With MagnumIO and RDMA creating a direct GPU-to-data path, NVIDIA and DDN align tightly to cut overhead and accelerate real research outcomes. Watch to learn how this NVIDIA and DDN collaboration boosts AI Infrastructure performance and take away best practices you c ...

I don't think you can do AI unless you have flexibility on prem in the cloud and cloud the consumption and the utilization needs to be flexible. I have to be able to today. So you know DDN we're offering exa through Google. We have a onep offering with Google.Well if a customer wants to consume and it makes sense for them to consume on Google. If they want to consume through core wave so be it. If they want to do it on prem so be it.So the flexibility I think is very very important. uh and unlike the migrat ...

Group 1: Company Overview - American Electric Power Company, Inc. (NASDAQ:AEP) is one of the largest electric utility companies in the U.S., providing generation, transmission, and distribution services to more than 5 million customers across 11 states [6] Group 2: Financial Performance and Projections - AEP has raised its long-term EPS growth outlook to 7%–9%, up from 6%–8%, reflecting expectations for roughly 28 GW of incremental peak demand by 2030, with about 22 GW expected to come from data centers [4] - The company has increased its five-year capital investment plan to $72 billion and disclosed a sizable backlog, with roughly 190 GW of customers currently waiting to interconnect to its system [4] Group 3: Market Trends and Demand Drivers - Electric demand is accelerating at its fastest pace since the 1960s and 1970s, driven by the rapid expansion of AI infrastructure, which is projected to require a significant increase in power generation [3] - Capacity tied to data center growth is projected to jump from about 45 GW today to more than 130 GW by 2030 [3] Group 4: Strategic Partnerships - AEP announced long-term strategic agreements with Quanta Services to support the execution of its expanded capital plan, including the buildout of high-voltage transmission, while strengthening supply chain reliability and expanding development capabilities [5] Group 5: Analyst Insights - JPMorgan analyst Jeremy Tonet raised AEP's price target to $125 from $121 while maintaining a Neutral rating on the stock, following updates to the firm's models across the North American utilities sector [2]

Group 1: Market Overview - The current economic landscape is characterized by a bifurcated or K-shaped economy, with unemployment rates around 4.6%, indicating a shift from a balanced labor market to potential risks in employment [2][4][5] - There is an expectation of a possible rate cut due to the labor market risks, which could positively impact market conditions in the upcoming year [5] Group 2: GE Vernova - GE Vernova has seen a significant increase of nearly 9% in the last week, driven by its role as a critical power supplier for AI data centers [6][7] - The company is benefiting from a shift towards on-site power generation due to grid delays, and its backlog is high quality and on track for growth through 2027 [8] - The stock has risen approximately 150% from its lows in April, indicating a strong bullish trend, with technical indicators suggesting continued upward movement [10][12][13] Group 3: NASDAQ - NASDAQ is expanding its trading hours to include a 23-hour weekday trading session, which is expected to increase retail participation globally [15][16] - Approximately 60% of NASDAQ's revenue is derived from assets under management (AUM) based index funds, with a trend of investors moving towards passive equity funds, which is favorable for NASDAQ's earnings [16][17] - The stock is currently consolidating and showing potential for a breakout, with key resistance levels identified [18][20][22] Group 4: Seagate Technology - Seagate has been included in the NASDAQ 100, which is a significant development for the company, as it is a core supplier of data storage hardware for data centers and AI infrastructure [23][24] - A cash-secured put strategy is being employed to potentially acquire shares at a discount, with a strike price of around $290 and a premium of approximately $20.90 per share [25][26][28] - The stock has been in a bullish trend, but there are concerns about potential overvaluation and bearish divergences in technical indicators, suggesting a possible pullback in the near term [29][34]

Company Overview - Oracle shares have declined to their lowest level since June, despite a positive outlook from analysts at City, who believe growth remains on track and concerns over data center delays are exaggerated [1] - The company has a market capitalization of $36 billion and $18.5 billion in debt, with a couple of billion in cash, but is currently not profitable, indicating potential pressure on future profits [4] Market Sentiment - There is a noticeable lack of confidence in Oracle's growth story, as evidenced by the widening of credit default swaps (CDS) and the continued decline in stock price despite the denial of negative reports [2] - The sentiment shift in the market has been rapid, initially influenced by developments in AI companies like OpenAI and Nvidia, and now affecting major players such as Microsoft, Meta, and Amazon, all of which have underperformed compared to the S&P and NASDAQ [5] Data Center Buildout Concerns - Analysts anticipate a slowdown in the buildout of data centers, which is critical for Oracle's business model, leading to a challenging environment for the company [2][4] - The current market conditions suggest that Oracle's performance is now a "prove me" story, contrasting with its historically predictable business model [7] Stock Performance - Oracle's stock has seen pronounced declines, with a drop of at least 10% from its highs, raising questions about the underlying reasons, including potential year-end effects and broader market trends [6] - The stock is currently trading near its previous all-time high of approximately $185-190 from December of the previous year, which may act as a support level if it can stabilize around these prices [9]

Core Insights - Jabil, Inc. (JBL) is set to report first-quarter fiscal 2026 earnings on December 17, with sales and earnings estimates at $8.01 billion and $2.7 per share respectively [1][7] - The company has a strong earnings surprise history, exceeding expectations in the last four quarters with an average surprise of 8.78% [3][4] Earnings Performance - Jabil's earnings estimates for 2025 and 2026 have remained unchanged over the past 60 days [1] - The company has an Earnings ESP of -0.09% and a Zacks Rank of 3 (Hold), indicating uncertainty regarding an earnings beat for the upcoming quarter [5][6] Business Developments - Jabil is expanding its AI and data center capabilities with the launch of the J 422G server, aimed at high-performance computing and AI applications [8] - The company has signed an agreement to acquire Hanley Energy Group, enhancing its power management solutions for data centers [9] - A partnership with Inno to invest in a facility in Thailand will produce battery energy storage system enclosures, improving vertical integration and supply chain diversification [10] Revenue Projections - The Regulated Industries vertical is expected to report revenues of $3.05 billion, up from $2.95 billion a year ago, driven by demand in healthcare and packaging [11] - The Intelligent Infrastructure segment is projected to grow significantly, with revenues estimated at $3.67 billion, up from $2.49 billion [12] - However, revenues from Connected Living & Digital Commerce are expected to decline to $1.28 billion from $1.54 billion due to softness in consumer-centric products [11] Market Performance - Over the past year, Jabil's stock has increased by 64.7%, underperforming compared to industry growth of 102.2% and peers like Flex Ltd. and Celestica Inc. [13] Valuation Metrics - Jabil's shares are trading at a forward price/earnings ratio of 19.11, lower than the industry average of 24.96 [14] Growth Drivers - The growth in AI-related infrastructure and capital equipment markets is expected to drive demand for Jabil's solutions as enterprises integrate AI into operations [17] - Jabil's global presence and connected factory network enhance its reliability and adaptability to market changes [18] Competitive Landscape - The electronics manufacturing industry is highly competitive, with companies like Flex and Celestica also expanding into the AI data center market [19] - Customer concentration risks and the cyclical nature of the semiconductor industry pose challenges to Jabil's growth [20] Overall Outlook - Jabil is positioned to benefit from growth in the Intelligent Infrastructure segment, supported by a diverse portfolio and robust supply chain [21]

Core Viewpoint - Marvell Technology is experiencing significant growth driven by its data center business and the recent acquisition of Celestial AI, which is expected to enhance its technological capabilities and market position in the AI infrastructure sector [1][7][11]. Financial Performance - Marvell reported record revenue of $2.075 billion for Q3, marking a 37% year-over-year increase, primarily due to strong demand in the data center segment [3]. - Adjusted earnings per share reached $0.76, exceeding analyst expectations and reflecting a 76% year-over-year increase [2]. - The company anticipates Q4 revenue of $2.2 billion, with continued momentum expected into the next fiscal year [2]. Market Position and Growth Prospects - Marvell's data center revenue is projected to grow by over 25% year-over-year in fiscal 2027, driven by advancements in interconnect, custom silicon, switching, and storage technologies [7]. - The company is well-positioned in the semiconductor market, with a valuation of $78.4 billion and a focus on high-speed chips and connectivity technology [4]. Strategic Initiatives - The acquisition of Celestial AI is seen as a potential game-changer, with its Photonic Fabric chiplet offering 16 Tbps of bandwidth, significantly surpassing current industry standards [1]. - Management plans to fund the acquisition through a mix of stock and cash, maintaining a healthy balance sheet with $2.7 billion in cash and equivalents [6]. Analyst Sentiment - Analysts are bullish on Marvell, with 24 out of 35 recommending a "Strong Buy" and an average price target of $114.70, indicating a potential upside of 35% [10]. - For fiscal 2026, revenue and earnings growth are forecasted at 41% and 80%, respectively, with further growth expected in fiscal 2027 [9].

Power Constraints on Data Centers - The industry acknowledges that power, rather than chips or financing, is a significant bottleneck for data center development [1] - Power challenges involve both overall power availability and the distribution of power to desired data center locations [1] Interconnection and Approval Processes - Data centers face challenges in drawing power from the grid and obtaining necessary approvals for power generation [2] - Securing interconnection permission for large data centers can take approximately five years [2] Project Timelines and Delays - Data center construction projects often experience timeline extensions, deviating from initial estimates of 18 to 36 months [3] - Project delays are likened to the unpredictable boarding process at an airport, where initial expectations are often unmet [3][4]

AI data center boom could be bad news for other infrastructure projects https://t.co/qedoZlDMuV ...

Core Insights - Semiconductor demand is cyclical, with periods of high demand leading to oversupply when capacity is ramped up too quickly [1] - There is a critical inflection point for Micron, driven by surging spending on data centers for AI workloads, leading to increased memory prices [2][5] - Wall Street analysts, including Stifel, are raising their price targets for Micron significantly, indicating a shift in market sentiment [2][3] Industry Trends - The demand for AI data centers has led to substantial investments, with hyperscalers expected to spend $405 billion on capital expenditures in 2025 [5] - The increased compute needs for training large language models are driving demand for memory products, benefiting companies like Micron [7] - Nvidia is experiencing growth due to its chips being essential for AI applications, while server companies are enhancing their offerings to meet the rising demand [6]