Nvidia(US:NVDA) 机器之心·2026-01-06 00:31Core Insights - The article discusses the transformative impact of AI on various industries, highlighting the advancements presented by NVIDIA at CES 2026, particularly focusing on the new Rubin platform and the Alpamayo open-source model for autonomous driving [1][3][5]. Group 1: NVIDIA Rubin Platform - The NVIDIA Rubin platform introduces six new chips aimed at creating a leading AI supercomputer that excels in cost, performance, and security, significantly reducing training time and inference token costs [8][10]. - The platform features innovations such as the latest NVIDIA NVLink interconnect technology, a Transformer engine, and advanced security measures, which collectively enhance AI capabilities and reduce the GPU count needed for training models by four times compared to previous generations [13][17]. - The Rubin platform is designed to meet the increasing demand for AI computing, with a total bandwidth of 260TB/s, surpassing the entire internet's bandwidth, and is expected to be commercially available in the second half of 2026 [19][20]. Group 2: Alpamayo Open-Source Model - The Alpamayo series introduces a visual-language-action (VLA) model that enhances autonomous driving capabilities by enabling vehicles to reason through rare scenarios, thereby improving safety and interpretability [27][28]. - This model is part of a cohesive open ecosystem that includes open-source models, simulation tools, and datasets, allowing developers to build upon it for autonomous driving technology [29][30]. - The Alpamayo model, featuring 10 billion parameters, is designed to generate driving trajectories and reasoning traces from video inputs, providing a foundation for developers to create tailored autonomous driving solutions [30][31]. Group 3: Robotics and Physical AI - NVIDIA has launched new open-source models and frameworks for physical AI, aimed at accelerating the development of versatile robots capable of learning multiple tasks [35][36]. - The company emphasizes the importance of simulation and evaluation frameworks, such as the Isaac Lab-Arena, to streamline the development process and ensure robust performance before deployment [43][45]. - Collaborations with industry leaders in robotics are highlighted, showcasing the integration of NVIDIA's technology into next-generation robots, which are expected to revolutionize various sectors [36][50].