🚨 NEWS: Nvidia and Uber have expanded their partnership to deploy autonomous vehicles powered by NVIDIA DRIVE AV across 28 cities on four continents by 2028.The rollout will begin in Los Angeles and San Francisco in the first half of 2027.The fleet will run on Drive Hyperion hardware, NVIDIA Alpamayo models, and the NVIDIA Halos OS to scale robotaxi services globally. $UBER $NVDA ...

NVIDIA founder and CEO Jensen Huang joins NVIDIA Vice President of Automotive Xinzhou Wu for a drive through San Francisco, discussing what it takes to deliver autonomous driving that feels comfortable, confident, and safe. Register for NVIDIA GTC 2026 🗓️ Add Xinzhou Wu’s Automotive Special Address to your schedule: "Advancing Level 4 Autonomy: The Path to Scalable, Safe AVs and Robotaxis" ➡️ https://www.nvidia.com/gtc/session-catalog/?search=S81713&ncid=so-yout-441723-vt03 More on autonomous driving: - Rea ...

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]

Core Insights - Magna has expanded its strategic collaboration with NVIDIA to enhance OEM deployments on the NVIDIA DRIVE Hyperion platform, offering a comprehensive portfolio of system integration, validation, and vehicle launch services for NVIDIA's DRIVE AV stack [1][4] - This collaboration positions Magna as a leader in the automotive industry, combining NVIDIA's AI compute capabilities with Magna's expertise in system engineering and integration [2][4] Collaboration Details - Magna will provide platform launch and execution services for various levels of autonomy, specifically L2++, L3, and L4 systems, facilitating seamless deployment across these levels [1][11] - The partnership aims to accelerate the development and deployment of advanced assisted and automated driving systems, leveraging Hyperion-compatible hardware and deep system integration [4][11] System Integration Capabilities - Magna's role includes a flexible range of system responsibilities, such as system integration, verification, validation, safety approval, and deployment, particularly for high-performance compute ECUs and sensors [2][12] - The collaboration emphasizes thorough testing and global rollout support to ensure quality and safety expectations are met during the introduction of the platform [12] Industry Positioning - Magna's extensive global manufacturing and engineering footprint positions it well to support OEMs in launching advanced vehicle technologies [2][6] - The initiative reflects the growing ecosystem around AI-defined vehicles, highlighting the importance of advanced compute and perception technologies in enabling software-defined vehicle architectures [3][4]

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]