Core Insights - Huang Renxun's keynote at the GTC conference highlighted significant advancements in AI and technology, marking the beginning of "Computing Revolution 2.0" for NVIDIA, which saw its market value approach $5 trillion after a 5% increase in stock price [2][3][12]. Group 1: Strategic Partnerships and Collaborations - NVIDIA announced a $1 billion equity investment in collaboration with Nokia to develop a 6G AI platform, alongside partnerships with T-Mobile and Cisco for the first 6G AI-native wireless stack in the U.S. [5][6]. - The company is working with the U.S. Department of Energy to build seven supercomputers, including the largest AI supercomputer for the department, equipped with 100,000 NVIDIA Blackwell GPUs [9][10]. Group 2: Technological Innovations - NVIDIA introduced NVQLink technology to connect quantum processors with GPU supercomputers, gaining support from 17 quantum processor manufacturers and 5 controller manufacturers [7][8]. - The company unveiled the BlueField-4 data processing chip and the industrial-grade edge AI platform IGX Thor, significantly enhancing processing capabilities [11]. Group 3: AI Market Outlook - Huang Renxun refuted claims of an AI bubble, asserting that the demand for NVIDIA GPUs remains strong, with 6 million Blackwell architecture GPUs shipped in the past four quarters [12][14]. - The anticipated sales for Blackwell and the upcoming Rubin chip are projected to reach $500 billion [15]. Group 4: Future Developments - NVIDIA's roadmap includes the production of the fastest AI chip, Blackwell, in Arizona, marking a significant milestone in U.S. manufacturing [18][19]. - The next-generation Vera Rubin super GPU has completed lab testing and is expected to enter mass production soon, designed for both AI and scientific tasks [20].

Group 1: Federal Reserve and Economic Outlook - President Trump criticized Federal Reserve Chairman Powell, labeling him as "incompetent" and indicated that a new candidate would be appointed by May next year [1] - The Federal Reserve's interest rate decision is highly anticipated, with a 99.5% probability of a 25 basis point cut expected during the upcoming meeting [30] - Morgan Stanley reported a significant inflow of foreign capital into the Chinese stock market, indicating a recovery in global investor confidence towards China [29] Group 2: NVIDIA and AI Developments - NVIDIA's stock reached $201.03, marking a 4.98% increase and a total market capitalization nearing $5 trillion, with a one-night increase of $231.8 billion [4] - CEO Jensen Huang announced a partnership with Nokia, involving a $1 billion equity investment and collaboration on a 6G telecom computing platform [7][27] - NVIDIA introduced new AI technologies and partnerships, including a new AI-native wireless stack with T-Mobile and Cisco, and plans to build seven supercomputers with the U.S. Department of Energy [9][12] Group 3: Market Performance - U.S. stock indices collectively rose, with the Nasdaq up 0.8%, Dow Jones up 0.34%, and S&P 500 up 0.23%, reaching new highs [2] - Notable stock movements included a 23% increase in Nokia's ADR, attributed to NVIDIA's planned investment [27] - Other tech companies like Microsoft and Intel also saw stock increases, with Microsoft regaining a market cap of $4 trillion [24][26]

Core Viewpoint - NVIDIA's GTC conference highlighted its expansive vision for AI and related technologies, showcasing partnerships and innovations that position the company at the forefront of the AI and telecommunications sectors [2][4]. Group 1: NVIDIA's Technological Advancements - NVIDIA's CEO Jensen Huang presented a roadmap extending to 2028, revealing that the company has accumulated $500 billion in orders for its Blackwell and Rubin chips by the end of the 2026 fiscal year [4][19]. - The introduction of the NVIDIA ARC (Aerial RAN Computer) aims to capture opportunities in the AI-RAN market, in collaboration with Nokia, which includes a $1 billion equity investment [6]. - NVIDIA's new BlueField-4 data processing chip is designed to accelerate AI infrastructure, supporting throughput of 800 Gb/s and high-performance inference processing [17]. Group 2: Partnerships and Collaborations - NVIDIA announced partnerships with T-Mobile and Cisco to develop the first AI-native wireless stack for 6G in the U.S. [9]. - A collaboration with the U.S. Department of Energy will see the construction of seven supercomputers, including the Solstice system, which will be the largest AI supercomputer for scientific discovery [11]. Group 3: AI Applications and Innovations - The AI traffic is experiencing explosive growth, with ChatGPT having 800 million active users, nearly half of whom access it via mobile devices [8]. - NVIDIA's Omniverse digital twin technology is being utilized to build modern factories and train robots, with a partnership with the startup Figure to accelerate humanoid robot development [26]. - The introduction of the IGX Thor edge AI platform offers 8 times the AI computing power compared to its predecessor, enabling seamless operation of large language models at the edge [29]. Group 4: Automotive and Autonomous Driving - The launch of the NVIDIA DRIVE AGX Hyperion 10 platform is aimed at L4-level autonomous driving, featuring a comprehensive sensor architecture [31]. - A partnership with Uber will allow vehicles using this platform to connect to the Uber network [33].

责任编辑：丁文武 新浪科技讯 10月29日凌晨消息，英伟达CEO黄仁勋在GTC大会期间宣布，和Uber达成合作，将拓展全 球L4自动驾驶出行网络。此次合作将基于英伟达自动驾驶平台 NVIDIA DRIVE AGX Hyperion 10、专为 L4自动驾驶打造的 NVIDIA DRIVE AV软件，以及 NVIDIA Cosmos世界基础模型开发平台，以加速 Uber自动驾驶生态的扩张。 英伟达将支持Uber从2027年起逐步扩展其全球自动驾驶出租车与送货车队，目标规模达到10万辆。英伟 达和 Uber 还正在合作开发一个由NVIDIA Cosmos世界基础模型开发平台加速的数据工厂，用于整理和 处理自动驾驶汽车开发所需的数据。 ...

Core Insights - Uber is partnering with NVIDIA to deploy one of the world's largest networks of autonomous vehicles, focusing on Level 4 (L4) autonomy for robotaxi operations both in the United States and internationally [1][3][4] Partnership and Vehicle Development - Stellantis will supply at least 5,000 L4 vehicles powered by NVIDIA DRIVE AGX Hyperion 10 to Uber, marking a significant step in the development of autonomous fleets [1][3] - The vehicles will utilize the latest NVIDIA DRIVE AGX Hyperion platform and NVIDIA DriveOS operating system, designed specifically for L4 autonomy [2][6] Operational Framework - Uber will manage end-to-end fleet operations, which includes remote assistance, charging, cleaning, maintenance, and customer support [3] - The collaboration aims to create a scalable solution for smarter, safer, and more efficient mobility [4] Industry Impact - The partnership is expected to transform urban mobility, making transportation safer, cleaner, and more efficient [4] - Uber and NVIDIA are also working with various partners to support a broad global Level 4 ecosystem, enhancing autonomy across multiple sectors including passenger mobility and delivery [5] Data and AI Integration - Uber plans to collect over 3 million hours of robotaxi-specific driving data to support L4 model training and validation, leveraging NVIDIA's GPUs and Cosmos platform for data management [7][8] - This initiative aims to accelerate the deployment of profitable autonomous solutions by creating a robust data engine for continuous improvement [8]

Stellantis, Lucid and Mercedes-Benz Join Level 4 Ecosystem Leaders Leveraging the NVIDIA DRIVE AV Platform and DRIVE AGX Hyperion 10 Architecture to Accelerate Autonomous Driving NVIDIA and Uber NVIDIA DRIVE AGX Hyperion 10 is a reference computer and sensor architecture that enables automakers to build level 4-ready, software-defined vehicles on a validated, scalable foundation. News Summary: NVIDIA DRIVE AGX Hyperion 10 is a reference compute and sensor architecture that makes any vehicle level 4-ready ...