Core Viewpoint - The emergence of humanoid robots presents a new ecosystem and significant opportunities for investment in chip architecture and hardware development, suggesting that companies that align with this trend may capture early advantages in the market [1]. Group 1: Competition and Challenges - The "brain" of humanoid robots typically refers to the main control chip or computing platform, while the "cerebellum" is responsible for motion control, with high-performance chips being the preferred choice [2]. - Major players in the chip market for humanoid robots include NVIDIA's Jetson, Intel's x86 chips, and others like Allwinner Technology and Rockchip [2]. - Companies like Tesla, UBTECH, and others are utilizing various Intel and NVIDIA chips for their humanoid robots, highlighting the competitive landscape in chip selection [3]. Group 2: NVIDIA's Developments - NVIDIA is not just a chip provider but is also leading advancements in robotics and AI, with its CEO emphasizing the role of physical AI and robotics in the next industrial revolution [4]. - The launch of NVIDIA's Isaac GR00T N1.5 cloud-to-robot computing platform aims to enhance the adaptability of robots in various environments and improve task success rates [4]. - NVIDIA's collaboration with numerous robotics companies, such as Foxlink and Agility Robotics, showcases its influence in accelerating robot development through simulation and training tools [6]. Group 3: Huawei's Robotics Chip Ecosystem - Huawei's Ascend 910D AI chip, expected to be a significant player in the market, boasts impressive specifications, including a theoretical peak performance of 1.2 PFLOP/s, surpassing NVIDIA's H100 [9]. - The U.S. Department of Commerce has imposed strict export controls on Huawei's Ascend AI chips, complicating its market position [10]. - Huawei's strategy focuses on technology empowerment and ecosystem collaboration, aiming to establish itself as a foundational technology standard setter in the robotics field [12]. Group 4: Business Models and Strategies - Huawei adopts a "sell the shovel" model, emphasizing ecosystem collaboration over direct hardware manufacturing, which allows for risk mitigation and resource sharing among partners [13]. - The company aims to create a closed-loop system that integrates demand, data accumulation, and technology iteration, particularly in industrial applications [16]. - In contrast, NVIDIA focuses on building a comprehensive technology stack that lowers industry entry barriers, while Huawei emphasizes vertical integration in specific scenarios [15].

Investment Rating - The investment rating for NVIDIA Corp is "Buy" with a target price of $150, indicating an expected total return of 10.8% from the current price of $135.40 [4]. Core Insights - NVIDIA's CEO emphasized the company's commitment to accelerating the adoption of Generative AI through GPU-powered data centers, highlighting key announcements such as NVLink Fusion, developments in Physical AI, and the launch of enterprise-focused RTX PRO 6000 Blackwell servers [3][9]. - The introduction of NVLink Fusion aims to integrate NVIDIA's AI infrastructure with emerging ASIC AI ecosystems, positioning the company favorably in a rapidly growing market [3]. - The new Isaac GR00T model is designed for humanoid reasoning and skills, supporting NVIDIA's broader strategy in Physical AI [8]. - NVIDIA's RTX PRO 6000 Blackwell servers are targeted at enterprises, leveraging advanced AI capabilities for various demanding workloads [9]. Summary by Sections NVLink Fusion - NVIDIA unveiled NVLink Fusion, a chiplet silicon that enables industries to build semi-custom AI infrastructure, marking a strategic entry into the ASIC AI infrastructure ecosystem [3]. Physical AI Developments - The Isaac GR00T model will generate synthetic motion data for humanoid robot development, reinforcing NVIDIA's focus on Physical AI [8]. Enterprise Solutions - The RTX PRO 6000 Blackwell servers are designed to replace the existing $1 trillion CPU server installed base with GPU servers, enhancing enterprise AI workloads [9]. Market Expectations - NVIDIA is expected to ship approximately 1 million GB300 or around 15,000 GB300 NVL servers by 2025, aligning with market checks in Asia [3].

21世纪经济报道新质生产力研究院综合报道 早上好，新的一天又开始了。在过去的24小时内，科技行业发生了哪些有意思的事情？来跟21tech一起 看看吧。 【巨头风向标】 华为nova 14系列及鸿蒙电脑齐登台。5月19日，搭载鸿蒙5的nova 14系列手机及鸿蒙电脑正式亮相。其 中，nova 14系列全面搭载鸿蒙5，将鸿蒙5带入更大规模的主力消费群体，尤其是年轻用户。加上"阔折 叠"手机Pura X，华为正加速在中高端手机市场上普及鸿蒙。另一方面，两款全新鸿蒙电脑——折叠电 脑HUAWEI MateBook Fold非凡大师、笔记本HUAWEI MateBook Pro的发布，则填补了办公场景生态缺 口，标志着鸿蒙全场景布局的完成。 英伟达转型AI基建企业，发布系列新品。5月19日在COMPUTEX2025上，英伟达创始人兼CEO黄仁勋 表示，Grace-Blackwell产品已投产，今年三季度升级到GB300版本。英伟达推出新的Blackwell RTX Pro 6000系列主板，该主板连接八个GPU，并作为称为CX8的交换网络，标志着一种新型芯片类别的出现。 英伟达还发布了NVLink Fusion，开放联 ...

Core Insights - NVIDIA has introduced the NVIDIA Isaac GR00T N1.5, an updated foundation model for humanoid reasoning and skills, along with the GR00T-Dreams blueprint for generating synthetic motion data and Blackwell systems to enhance humanoid robot development [1][3][10] Group 1: Product Announcements - The NVIDIA Isaac GR00T N1.5 model improves adaptability to new environments and workspace configurations, enhancing its success rate in material handling and manufacturing tasks [7][8] - The GR00T-Dreams blueprint generates vast amounts of synthetic motion data, allowing robots to learn new behaviors and adapt to changing environments [3][4] - The GR00T-Dreams blueprint complements the previously released GR00T-Mimic blueprint, which augments existing data rather than generating new data [5] Group 2: Industry Adoption - Various humanoid and robotics developers, including Agility Robotics, Boston Dynamics, and XPENG Robotics, are adopting NVIDIA's Isaac platform technologies to advance their robot development [2][9] - Early adopters of the GR00T N models are utilizing them for tasks such as natural language understanding and complex workflows in industrial settings [8] Group 3: Technological Advancements - NVIDIA's simulation technologies, including Isaac Sim and Isaac Lab, are being used by companies to close the data and testing gap in humanoid robot development [9] - The Blackwell systems, including NVIDIA RTX PRO 6000 workstations, provide a unified architecture for running various robot development workloads, achieving up to 18 times greater performance for data processing [10][11]