Summary of NVIDIA Conference Call - June 11, 2025 Company Overview - **Company**: NVIDIA (NVDA) - **Event**: Conference Call - **Date**: June 11, 2025 Key Industry Insights - **AI Growth**: AI is recognized as the fastest-growing technology in history, with global reach and significant potential for expansion in Europe, particularly in France and the EU [1][18] - **Quantum Computing**: The industry is shifting towards a hybrid model of quantum and classical computing, emphasizing the importance of GPU supercomputers for error correction and data generation [9][12][15] - **Sovereign AI**: The development of AI infrastructure in Europe is seen as crucial, with an estimated $1.5 trillion build-out expected over the coming years [17][18] Core Company Strategies - **Local Infrastructure**: NVIDIA is focusing on building AI factories and supercomputing centers for local consumption in Europe, which will support the region's heavy industry and robotics capabilities [16][17] - **Physical AI Models**: The company is developing multimodal physical AI models that can reason and execute tasks based on prompts, differentiating them from traditional LLMs [19][20] - **Gigawatt Projects**: NVIDIA is involved in multiple gigawatt projects across Europe, with a focus on regional cloud service providers and AI factories supported by government initiatives [24][26] Financial and Operational Insights - **Supply Chain Management**: NVIDIA's supply chain is robust, with the ability to forecast demand and place large orders with suppliers like TSMC and Micron, ensuring timely production of supercomputers [30][32] - **Market Demand**: The company is not limited by critical components but must forecast production accurately to meet the growing demand for AI technologies [30][33] - **Post-Training Opportunities**: NVIDIA sees significant potential in post-training processes, which involve reinforcement learning and human feedback to improve AI models [49][52] Challenges and Risks - **Geopolitical Concerns**: The company acknowledges the importance of local infrastructure due to data privacy and geopolitical issues, particularly in Europe [27][28] - **Dependency on Taiwan**: NVIDIA is actively working to reduce its dependency on Taiwan for chip manufacturing, with plans to build substantial AI supercomputer infrastructure in the United States [64][66] - **China Market**: The company has removed China from its forecasts due to export controls, resulting in a significant revenue drop, but remains optimistic about growth in other markets [70][71] Future Outlook - **AI Integration in Enterprises**: NVIDIA is focused on integrating AI into traditional enterprise IT systems, which presents a substantial market opportunity estimated in the hundreds of billions [96][98] - **Continuous Improvement**: The company emphasizes ongoing software improvements that enhance the performance of its hardware, ensuring long-term value for customers [114][115] - **Ecosystem Development**: NVIDIA is building an ecosystem around its NVLink technology, which is expected to facilitate partnerships and enhance its competitive position in the market [91][92] Conclusion NVIDIA is strategically positioned to capitalize on the rapid growth of AI and quantum computing, with a strong focus on local infrastructure development in Europe, robust supply chain management, and continuous innovation in AI technologies. The company faces challenges related to geopolitical risks and market dependencies but remains optimistic about its growth trajectory and market opportunities.

Core Insights - NVIDIA is establishing the world's first industrial AI cloud in Germany to support European manufacturers, featuring 10,000 GPUs to enhance manufacturing applications [1][3][15] - Major European manufacturers like BMW Group, Maserati, Mercedes-Benz, and Schaeffler are adopting NVIDIA's technologies to transform their product lifecycles through AI-driven operations [2][10][12] Group 1: Industrial AI Cloud Development - The AI factory will utilize NVIDIA DGX B200 systems and NVIDIA RTX PRO Servers, running NVIDIA CUDA-X libraries and Omniverse-accelerated workloads [3][4] - This initiative aims to accelerate AI development and adoption in anticipation of AI gigafactories across Europe [5] Group 2: Partnerships and Software Integration - Siemens and NVIDIA are expanding their partnership to enhance industrial AI and digitalization, optimizing performance and productivity for various sectors [7] - Ansys is integrating Omniverse into its simulation software to improve fluid simulations, achieving a 2.5x acceleration in performance for Volvo Cars [8][9] Group 3: Manufacturer Innovations - Schaeffler is leveraging AI factories and NVIDIA's technology for digital factory planning and automation across its manufacturing plants [10][11] - BMW Group is creating digital twins of its production facilities to optimize manufacturing processes and develop AI applications [12][13]

Computex 现场：鸿海、联发科主旨演讲，逛展感受 20250521 摘要 英伟达通过与沙特和阿联酋签订超百亿美金大单，弥补了因 H20 禁运造 成的约 55 亿美金损失，并拓展了中东市场。同时，计划签署新的欧洲 主权 AI 项目，但项目利用效率和资金持续投入问题引人关注。 为获出口支持，英伟达承诺将美国销售服务器产业链迁回美国，包括芯 片代工、服务器组装等环节。此举虽促进美国制造业，但可能导致成本 上升，影响毛利率和生产效率。 AI Link Fusion 技术允许客户将自研 ASIC 或 CPU 与英伟达 IP 结合，确 保产品留在英伟达生态系统内，使英伟达能够从中获利，维持其生态系 统竞争力。 NVIDIA RTX Pro Server 作为八卡服务器，或可替代 H20 服务器，但 其以太网连接导致卡间互联性能较差，推理任务表现有待验证，能否大 卖仍需观察。 美国商务部取消人工智能扩散规则，使得沙特和阿联酋等国能够大规模 采购英伟达产品，总额超百亿美金。中国台湾成为主要自主 AI 项目之一， 中美在其他市场竞争加剧。 Q&A 在此次 Computex 展会上，英伟达的主权 AI 项目受到广泛关注。请 ...

May 19, 2025 01:28 PM GMT NVIDIA Corp. | North America No big surprises from Computex keynote; set up for 2h re- acceleration Key Takeaways What did we learn: Nvidia made a handful of announcements during the key note. The most interesting of which was NVlink Fusion, a new variant of Nvidia's interconnect technology that extends the capabilities for use with a broader ecosystem including custom ASICs and non-Nvidia CPUs (Qualcomm and Fujitsu highlighted). We frankly need to spend more time to understand thi ...

Computex 现场连线#1：英伟达、高通主旨演讲 20250519 摘要 COMPUTEX 是全球最重要的 PC 和服务器产业链活动之一，今年展会包括英伟 达、高通、红海、联发科和 NXP 等公司的主旨演讲以及整个 PC 和服务器产业 链的展示。英伟达的演讲符合预期，重点在 AI 服务器产业链的发展，包括 AI 工厂、agentic AI、机器人以及企业 AI 系统转型。高通则宣布进入服务器 CPU 市场，这对 ARM 生态系统形成闭环有利，并打破 X86 生态。此外，中国 台湾的服务器产业链非常强大，从整机到各个零部件都非常完整，但应用端较 弱。 • AI Token 被视为未来重要工具，数据中心将成为 AI 工厂，以能源为输入 产出 AI Token，未来数据中心每月或每年生产多少 AI Token 将成为重要 指标，标志着 AI 应用落地。 • 中东市场出货量预计增加，可能取代新加坡，对英伟达和 AMD 均有影响， 值得关注。英伟达芯片已交付 OEM，收入已确认，但 OEM 后续工作进度 影响整体供应链。 • 英伟达第二季度财报指导可能在 45 至 47 亿美元之间，考虑了 5.5 亿美元 HRC ...

NVIDIA TodayNVDANVIDIA$135.10 -0.30 (-0.22%) 52-Week Range$86.62▼$195.95Dividend Yield0.03%P/E Ratio53.16Price Target$164.84Add to WatchlistNVIDIA’s NASDAQ: NVDA CEO, Jensen Huang, made numerous announcements at the Computex 2025 conference that amount to one thing: NVIDIA remains at the center of all things AI. While competitors advance their technologies, they remain steps behind and may never catch up due to this critical factor: NVIDIA launched NVLink Fusion. NVIDIA NVLink is the technology linking NVI ...

梦晨 闻乐 发自 凹非寺 量子位 | 公众号 QbitAI 英伟达官宣新办公室落户中国台湾省台北市，但居然是从太空飞下来的吗？ 当然，这只是黄仁勋在Computex大会上展示的CG特效，但背后还有这样一层意思： 如此逼真的画面中， 只有1/10的像素是显卡渲染的 ，剩下全部内容为AI预测。 当初是GeForce显卡让AI成为现实，现在AI反过来给GeForce显卡带来颠覆性变革。 除了正式宣布新办公室地址，会上英伟达还宣布多款重磅新品： 面向个人有 DGX Station ，在桌面跑1T参数大模型，这回刀法也不用了，足足给到800GB内存。 面向企业有 RTX PRO Server ，可加速从AI智能体、物理AI、科学计算到渲染、3D图形和视频等各种用例。 同时老黄还表示英伟达正在经历一次转型， 从一家芯片公司扩展到一家AI基础设施公司 。 老黄表示，AI基础设施市场将以数万亿美元衡量。 此外，这场演讲中的其他亮点还有： 下面一起来看。 发布半定制化NVLink Fusion（混搭，有IP就可用） 推出英伟达AI数据平台 宣布与迪士尼合作机器人项目 …… "买的越多，创造的越多" 今年第三季度 ，英伟达主打产 ...