AI视频公司转向世界模型，黄仁勋又投了。 Seedance 2.0刷屏海内外之际，同行Runway悄悄转向，融了21亿元。 这家公司最早只是3个艺术生创立的视频工具公司，三年来两次转型，估值随着转型不断拉升，目前公司只有140个人，却撑起53亿美元估值。同时还被英 伟达持续看好，连续三轮押注。 但Runway这次被英伟达看好的原因，与前两次不大一样。 Runway转向世界模型，英伟达AMD都投了 Runway在官网宣布已完成E轮融资，融资金额为3.15亿美元，约合人民币21.7亿元。据Runway透露，这笔钱将用于预训练下一代世界模型，并将其落地到 产品中。 最新融资的领投方为General Atlantic，其也是Runway上一轮融资的领投方，同时也是Anthropic（Claude母公司）的股东之一。此外，英伟达和AMD也参 投了Runway此次融资。 这一轮融资后，据TechCrunch援引知情人士消息称，Runway投后估值相比之前几乎翻了一倍，达到53亿美元，约合人民币365.8亿元。 Runway的估值是如何一步步拉升的？ 3个艺术生创业7年，缔造53亿AI独角兽 Runway成立于2018年， ...

Core Insights - Mercedes-Benz Group AG, NVIDIA Corporation, and Uber Technologies are collaborating to launch robotaxi services in major cities, utilizing the Mercedes S-Class sedan as the foundation for their global autonomous-driving platform [1][7] Group 1: Technology and Integration - The next-generation S-Class will feature Mercedes-Benz's MB.OS, integrating NVIDIA DRIVE Hyperion hardware and full-stack NVIDIA DRIVE AV Level 4 software, focusing on safety-first autonomy through NVIDIA's Halos system [2] - NVIDIA DRIVE AV equips the S-Class with a comprehensive automated-driving system capable of handling rare and complex driving scenarios within a safety-centric architecture, validated through high-fidelity simulations [4] - The technology is built on NVIDIA's AI foundation, enabling real-time analysis of complex environments and the selection of the safest driving actions [5] Group 2: Market Strategy and Collaboration - The S-Class aims to provide a premium, chauffeur-style autonomous experience, with plans to offer these vehicles through Uber's mobility network, showcasing collaboration between established automakers and AI leaders [3] - The companies have not disclosed a timeline for the robotaxi service launch, although Mercedes-Benz has previously partnered with Bosch and Momenta on autonomous-driving initiatives [6]

Group 1 - The Ministry of Industry and Information Technology (MIIT) will continue to promote innovation and iterative upgrades in humanoid robot technology, aiming to drive the development of the broader computing intelligence industry [1] - The MIIT plans to enhance support for humanoid robots through the National Artificial Intelligence Industry Investment Fund and establish an open-source community for humanoid robots [1] - The humanoid robot industry is expected to open up a market space broader than that of automobiles, presenting significant investment opportunities as the industry transitions from "0 to 1" [1] Group 2 - The humanoid robot industry is accelerating, with advancements announced at CES, including NVIDIA's new models and platforms aimed at enhancing robot learning and training processes [2] - Major companies, both domestic and international, are expected to achieve breakthroughs in perception, decision-making, and execution, seizing first-mover advantages in the humanoid robot sector [2] - The industry is poised to transition from laboratory experiments to large-scale commercial applications, marking a new phase in humanoid robotics [2]

Market Performance - A-shares experienced a strong rebound on January 12, with the Shanghai Composite Index rising by 0.75% to 4151.14 points and the Shenzhen Component Index increasing by 1.31% to 14305.10 points, while the ChiNext Index rose by 1.17% to 3366.71 points [1] - The total trading volume in the Shanghai and Shenzhen markets reached 2.31 trillion yuan, an increase of 245.5 billion yuan compared to the previous trading day [1] Sector Highlights - AI applications continued to surge, with stocks like Worth Buying and Guangyun Technology hitting the daily limit [1] - The commercial aerospace sector remained strong, with companies like Luxin Investment achieving 10 consecutive trading limits [1] - The photovoltaic sector was active, with Dongfang Risheng reaching a 20% limit up [1] - Retail concepts also saw gains, with Maoye Commercial and Sanjiang Shopping both hitting the daily limit [1] - In contrast, sectors such as oil and gas, and coal experienced significant declines [2] Institutional Insights - Huatai Securities noted that the A-share market continued to rise with increased trading volume, indicating a spring rally driven by heightened risk appetite [3] - The report suggested focusing on high-cost performance sectors, particularly in gaming, duty-free, batteries, engineering machinery, and agricultural chemicals [3] - CITIC Construction emphasized the rapid development of the AI industry, highlighting the potential for new application waves driven by advancements in model capabilities [3][4] Government Policy - The National Development and Reform Commission issued guidelines for government investment funds, marking the first systematic regulation on fund allocation and investment direction [5] - The guidelines emphasize supporting major strategic areas and fostering new pillar industries while avoiding investments in restricted or obsolete sectors [5] Storage Market Outlook - Counterpoint Research reported that the storage market has entered a "super bull market," with prices expected to rise by 40%-50% in Q1 2026 and an additional 20% in Q2 2026 due to surging demand from AI and server capacities [6][7]

Core Insights - The CES 2026 showcased NVIDIA's strategic focus on next-generation computing platforms and advancements in physical AI, marking the first time in five years that NVIDIA did not release a new GPU at the event [2][3]. Group 1: Open Source Ecosystem - NVIDIA's CEO highlighted the significant investment of approximately $10 trillion in computing resources over the past decade, emphasizing a shift in software paradigms rather than just hardware upgrades [3]. - The presentation acknowledged the rapid development of Chinese open-source models, specifically naming Kimi K2, DeepSeek V3.2, and Qwen, which are leading the open-source ecosystem alongside OpenAI's GPT-OSS [5]. - Despite being approximately six months behind the top models, the open-source models are expected to see new iterations every six months, attracting interest from startups, giants, and researchers alike [5]. Group 2: Next-Generation Computing Platform - NVIDIA introduced the Vera Rubin computing platform, designed to accelerate AI training speeds and facilitate the development of next-generation models [7]. - The platform features a complete redesign of six chips, including Vera CPU and Rubin GPU, with the Rubin GPU achieving a performance of 50 PFLOPS, five times that of its predecessor [7][8]. - The engineering design of Vera Rubin simplifies assembly, reducing the number of cables from 43 to just six liquid cooling pipes, allowing for quicker setup times [8]. Group 3: Advancements in Physical AI - NVIDIA's CEO announced the launch of the Alpamayo open-source AI model aimed at enhancing autonomous driving capabilities, addressing complex driving scenarios through a new reasoning model [10][11]. - The Alpamayo series incorporates a "thinking chain" reasoning model, improving decision-making processes in autonomous vehicles and enhancing user trust in the technology [11]. - The first vehicles utilizing NVIDIA's technology are expected to hit the roads in the U.S. in Q1, Europe in Q2, and Asia later in the year, with interest from companies like Jaguar Land Rover and Uber [11]. Group 4: Robotics Development - NVIDIA unveiled two new open-source models for robotics, NVIDIA Cosmos and GR00T, along with a performance evaluation tool, Isaac Lab-Arena, aimed at simplifying robot training processes [12]. - The collaboration with Hugging Face integrates NVIDIA's Isaac open-source models into the LeRobot project, accelerating the development of the open-source robotics community [12]. - Companies such as Boston Dynamics and Caterpillar are developing new robots and autonomous devices based on NVIDIA's technology, indicating a significant advancement in the robotics sector [13].

Core Viewpoint - The robotics industry is entering a transformative phase, akin to the "ChatGPT moment," as highlighted by NVIDIA's CEO Jensen Huang during the 2026 CES, emphasizing advancements in AI and robotics technology [1][4]. Group 1: NVIDIA's Innovations - NVIDIA announced new open models and frameworks for physical AI, accelerating the robotics development lifecycle and enabling the creation of versatile professional robots capable of learning multiple tasks [3][4]. - The introduction of NVIDIA Cosmos and GR00T models, along with the Isaac Lab-Arena for robot evaluation, aims to simplify the training workflow for robots [1][3]. Group 2: Industry Collaboration - Major industry players such as Boston Dynamics, Caterpillar, and LG Electronics are leveraging NVIDIA's technology to launch new AI-driven robots, indicating a shift from experimental prototypes to commercially viable products [4][6]. - Caterpillar is expanding its collaboration with NVIDIA to integrate advanced AI and autonomy into construction and mining equipment [6]. Group 3: Commercialization and Market Potential - The humanoid robot sector is rapidly moving towards commercialization, with companies like UBTECH and Tesla already deploying small batches, projecting a demand of 736,400 units in the automotive sector by 2028 [8]. - The logistics industry is also seeing advancements, with companies like Hangcha Group and Jingsong Intelligent introducing high-load, multi-scenario adaptable products, expecting a demand of 59,100 units by 2028 [8]. Group 4: Market Strategy and Technological Evolution - The humanoid robot market is adopting a dual strategy focusing on both B2B and B2C, with products evolving towards high cost-performance, modular, and platform-based designs [9]. - The integration of AI large models with embodied intelligence is becoming mainstream, with applications expanding from industrial to home and healthcare sectors [9].

北京时间1月6日早五点，英伟达CEO黄仁勋在CES 2026开幕前的 keynote 演讲中，用90分钟为全球科技产业描绘了一幅激进且完整的未来图景。 在这场信息密度极高的演讲中，他不仅宣告人工智能的发展重心正从纯粹的"数字智能"迈向与物理世界交互的"物理AI"新纪元，更以一系列开源重器—— 从世界模型Cosmos、自动驾驶系统AlphaMio到新一代AI芯片架构Vera Rubin——展示了英伟达作为全栈巨头的野心：即为这个新时代构建从底层芯片、基 础设施到顶层模型与应用的全部基石。 当AI时代的算力需求正无限放大，英伟达仍在通过对计算平台的极限升级，试图吃下这个庞大的数字世界算力基座。 摘要： "Rubin 的到来恰逢其时，因为训练和推理的 AI 计算需求正在激增。" DeepSeek带来的启示，开源是创新主引擎 演讲伊始，黄仁勋便以历史性的视角定调感慨："每隔10到15年，计算行业就会发生一次平台迁移。"他强调，当前我们正同时经历两大迁移：一是应用转 向以AI为核心构建；二是整个软件开发和运行范式被重塑——从"编程"转向"训练"，从CPU转向GPU，从执行预编译代码转向实时生成内容。 "这意味着过去十年 ...

Core Viewpoint - NVIDIA is shifting its focus entirely towards AI, as evidenced by its absence of gaming graphics cards at CES 2026 and the introduction of new AI products and architectures [2][10]. Group 1: AI Product Launches - NVIDIA unveiled the next-generation Rubin architecture GPU, which boasts inference and training performance that are 5 times and 3.5 times better than the Blackwell GB200, respectively [4][17]. - The company introduced five new product families targeting various AI applications, including the NVIDIA Nemotron for Agentic AI, NVIDIA Cosmos for physical AI, and NVIDIA Alpamayo for autonomous driving [6][8][39]. - The Vera Rubin NVL72 architecture was officially launched, featuring six core components designed to enhance AI data center capabilities [14][15]. Group 2: Performance Metrics - The Rubin GPU achieves an inference performance of 50 PFLOPS and a training performance of 35 PFLOPS under the NVFP4 data type, significantly surpassing its predecessor [17]. - Each Rubin GPU is equipped with 288GB of HBM4 memory and offers a bandwidth of 22 TB/s, supporting the high computational demands of modern AI models [18]. - The overall architecture of the Vera Rubin NVL72 can deliver 3.6 exaFLOPS of NVFP4 inference performance and 2.5 exaFLOPS of training performance [37]. Group 3: Networking and Connectivity - The introduction of NVLink 6 enhances interconnect bandwidth to 3.6 TB/s per GPU, with a total bandwidth of 260 TB/s across the entire NVL72 rack [20][21]. - The Vera CPU integrates 88 custom Arm cores and features a bandwidth of 1.8 TB/s for NVLink C2C interconnect, facilitating efficient communication between CPU and GPU [22]. Group 4: AI Model Developments - The Alpamayo model, a large-scale open-source visual-language-action model for autonomous driving, was launched with 10 billion parameters [41]. - The Nemotron series expanded to include specialized models for speech recognition, visual-language processing, and safety, enhancing AI applications across various sectors [49][51]. - The Cosmos model for robotics was upgraded to generate synthetic data that adheres to real-world physical laws, aiding in the development of AI agents [54][58]. Group 5: Industry Impact and Future Outlook - NVIDIA's comprehensive approach to AI, integrating models, data, and tools, is expected to strengthen its competitive edge and ecosystem lock-in [10]. - The company plans to begin mass production of the Vera Rubin NVL72 in the second half of 2026, indicating a strong commitment to advancing AI infrastructure [38].

Core Insights - The Dynamis Robotic Surgical System has received FDA clearance and is currently in routine clinical use in Las Vegas [1] - The system is set to evolve by integrating NVIDIA technologies, including Jetson Thor, Isaac for Healthcare, and Cosmos platforms, to advance hard tissue robotic surgery [1] - LEM Surgical is participating in the 2026 Consumer Electronics Show (CES) to showcase its innovations in next-generation hard tissue robotics [1]

Global Partners Adopt NVIDIA Physical AI Global partners use NVIDIA physical AI technologies to power a wide range of autonomous machines, from industrial humanoids to surgical robots. Image Credit: Top left: Caterpillar, Top right: LEM Surgical, Bottom left: AGIBOT, Bottom Right: Franka Robotics News Summary: From mobile manipulators to humanoids, Boston Dynamics, Caterpillar, Franka Robots, Humanoid, LG Electronics and NEURA Robotics debut new robots and autonomous machines built on NVIDIA technologie ...