目前，机器人普遍采用云端+端侧的混合部署模式。一位深圳机器人企业的高管向第一财经记者坦 言："更通用的机器人模型，需要的算力是巨量的。" 在巨量的算力难题尚未解决前，快慢系统的架构或许是权宜之计。星海图联合创始人许华哲向记者解 释，快系统主要部署在端侧，负责执行和即时反应，比如感知、控制、响应等，"端侧主要强调实时性 和稳定性"。慢系统则更多在云端，承担理解、推理任务，"尤其是需要长链条逻辑推演的场景，通常是 一些复杂的任务"。 然而，云端部署也带来了现实问题。"延迟很难避免，对于一些高节拍的场景，例如连续抓取、快速判 断等，延迟会直接影响产品的安全性和可行性。"上述高管直言。 钟伊凡说，Thor在数据处理能力和接口带宽上的提升，让机器人能够直接承接来自高分辨率、高频率传 感器的多模态输入，并及时完成处理。因此，更多原本依赖云端处理的任务，也可能被逐渐拉回到机器 人本地完成，此举或将推动机器人在高节拍、复杂交互等场景中加速落地。 "先堆出算力天花板，再用Isaac、Cosmos、GR00T等全栈软件塑造开发者习惯，英伟达的目的只有一 个。"萨摩耶云AI机器人行业研究员郑扬洋对记者表示，英伟达在机器人领域延续了 ...

Core Insights - NVIDIA Corporation has achieved significant milestones, including double-digit revenue growth in Q1 fiscal 2026 and becoming the world's most valuable company with a market capitalization of $3.461 trillion [1][2][8] Financial Performance - NVIDIA reported first-quarter revenues of $44.1 billion, surpassing analysts' expectations of $43.3 billion and significantly increasing from $26 billion in the same period last year [3][8] - The company's net profit margin stands at 55.7%, outperforming the Semiconductor - General industry's average of 49.5% [7] Market Position and Demand - NVIDIA regained its title as the most valuable company, with shares rising over 50% from their low in April, contributing to a market capitalization increase of over $1 trillion [2][3] - The company holds more than a 90% market share in the GPU market, driven by demand from cloud computing companies like Alphabet Inc. and Amazon.com [5][6] Product Development and Innovation - NVIDIA has successfully navigated supply-chain challenges to deliver its Blackwell AI servers to major cloud customers, including Microsoft [4] - The growing popularity of the CUDA software platform and demand for Blackwell chips are expected to further enhance NVIDIA's growth prospects [6] Future Growth Potential - The AI revolution, particularly in autonomous robots and self-driving cars, presents additional growth opportunities for NVIDIA, with companies like Amazon and Tesla utilizing its technology [6] - Increased spending on AI data centers and demand for NVIDIA's latest chips and GPUs are likely to support continued investment in NVDA stock [7]

Group 1: Nvidia's Earnings and Market Impact - Nvidia's recent earnings report alleviated concerns about a slowdown in AI and data-center spending, positively impacting the market and benefiting frontline players in the AI/data center industry [1] - The report also positively affects other companies with exposure to AI, such as GE HealthCare Technologies, PTC, and Vertiv [1] Group 2: GE HealthCare Technologies and AI Integration - GE HealthCare is collaborating with Nvidia on AI-powered robotics to enhance its imaging systems, utilizing Nvidia's Isaac platform [2] - The integration of AI into GE HealthCare's imaging systems improves patient guidance and data analysis, supporting decision-making and patient monitoring [2][3] - AI's value addition across GE HealthCare's businesses is expected to lead to better patient outcomes and long-term sales growth [3] Group 3: PTC and Industrial AI - Nvidia's CEO highlighted the importance of industrial AI, which is gaining traction as manufacturing is reshored to the U.S. [5][6] - PTC utilizes Nvidia's GPUs to enhance its CAD software, enabling real-time digital models that improve machinery performance through AI-powered analytics [7] - PTC has experienced double-digit recurring revenue growth and is projected to drive mid-teens growth in free cash flow, with potential for sustained growth if industrial AI continues to develop [8] Group 4: Vertiv's Role in AI Growth - Vertiv is a key partner for Nvidia, contributing to the power needs of AI growth in data centers, with strong order and backlog growth anticipated in 2025 [10] - Vertiv is set to launch its 800V direct current power architecture for data centers in the second half of 2026, ahead of Nvidia's next generation platforms [11] - Vertiv's solutions include rectifiers, busways, converters, and backup systems, positioning it well in the competitive landscape of power solutions for data centers [12]

Summary of Key Points from the Conference Call Industry Overview - The discussion revolves around the **robotics industry**, specifically focusing on the **robot operating systems** and their integration with hardware components [1][2][3]. Core Insights and Arguments - **Unified Interface Requirement**: Robot operating systems must mask hardware differences and provide a unified interface to ensure real-time processing for tasks like video, voice, and motion control, supporting 30FPS video processing and 1,000Hz six-dimensional force sensor data collection [1]. - **Resource Management**: The operating system kernel must effectively manage CPU, NPU, and AI accelerator resources to ensure efficient operation of AI visual models and real-time motion control tasks. Real-Time Operating Systems (RTOS) allocate fixed CPU cores to specific tasks to prevent resource contention [1][5]. - **Chip Integration Trends**: The industry is leaning towards high-integration chips, with operating systems needing to be closely tied to hardware to optimize resource allocation and improve development efficiency, albeit with some technical dependencies [1][7]. - **Cost Considerations**: Companies must consider future data processing capabilities and costs when selecting operating systems. NVIDIA's solutions, while comprehensive, are expensive, prompting companies to consider alternatives like Qualcomm, Intel, or domestic chips to avoid technology stack dependencies [8][9]. - **X86 Architecture Preference**: The X86 architecture is favored for robotics applications due to its superior floating-point computation capabilities, essential for tasks involving matrix calculations [13][14]. Additional Important Content - **Bottlenecks in Mass Production**: The current bottlenecks in mass-producing robots include algorithm maturity, data issues, and the need for improved chip technology. The existing operating systems are not yet fully prepared for large-scale production, requiring enhancements in AI integration and real-time motion control [22][23]. - **Trends in Operating System Selection**: There is a trend towards diverse operating system selections, with some companies opting for comprehensive solutions from vendors like NVIDIA for rapid product launches, while others seek cost-effective solutions during mass production phases [10]. - **Domestic Chip Companies**: Notable domestic chip companies include Huawei and Rockchip, with Rockchip being recognized for its cost-effectiveness despite not matching Qualcomm's capabilities [12]. - **Development Models**: Companies may choose between purchasing pure software or commissioning operating system vendors to develop complete hardware and software solutions, depending on their in-house capabilities [25]. - **Future Development Trends**: The future trend is towards integrating multiple hardware components into a single operating system to handle all applications efficiently, as exemplified by NVIDIA's Isaac platform [28]. This summary encapsulates the critical insights and trends discussed in the conference call regarding the robotics industry and the evolution of robot operating systems.

Core Viewpoint - NVIDIA Corporation is expected to report strong fiscal Q1 results driven by AI adoption, despite potential challenges from trade disputes and competition from Chinese firms [1][2]. Financial Performance Expectations - NVIDIA anticipates revenues of approximately $43 billion for fiscal Q1, a 62% increase year-over-year, exceeding the Zacks Consensus Estimate of $42.7 billion [2]. - The expected earnings per share (EPS) is 85 cents, reflecting a 39.3% increase from the previous year [2]. - The company has achieved an average positive earnings surprise of 7.9% over the last four quarters, indicating potential for meeting or exceeding projected earnings growth [3]. Market Dynamics and Competitive Position - The demand for Blackwell chips and the popularity of the CUDA software platform are expected to drive growth [6]. - NVIDIA holds a dominant position in the GPU market with over 90% market share, providing a competitive edge [6]. - Major cloud computing companies like Amazon and Alphabet are investing heavily in AI infrastructure, which will benefit NVIDIA as a key supplier of processors [7]. Technological Advancements and Future Opportunities - NVIDIA is positioned to benefit from advancements in AI, including self-driving cars and autonomous robots, with its technology being utilized by companies like Tesla and Amazon [8]. - The company is committed to the Chinese market and plans to sell a revised version of H20 chips, despite current restrictions [5]. Investment Sentiment - Management's optimism regarding fiscal Q1 results, increased chip demand, and growing acceptance of GPUs should encourage stakeholders to remain invested in NVIDIA stock [9]. - The company has a strong net profit margin of 55.9%, surpassing the semiconductor industry's average of 49.5%, indicating robust fundamentals [10].