CES 2026：全新产品亮相 Arm聚焦搭建AI算力基础设施

Core Insights - The integration of physical AI and edge AI is a central theme at CES 2026, showcasing advancements in various devices from autonomous vehicles to personal computers and wearables [1][3]. Group 1: Automotive Industry - The automotive sector is transitioning from "software-defined" to "AI-defined," with multiple companies implementing high-performance computing platforms based on Arm architecture for real-time vehicle perception, prediction, and decision-making [3]. - Tesla's new AI5 chip, built on Arm, reportedly enhances AI performance by 40 times compared to its predecessor [3]. - Rivian's self-developed autonomous driving platform also utilizes customized Arm chips, while NVIDIA DRIVE Thor supports L4-level autonomous taxi operations [3]. Group 2: Robotics - Robotics technology is moving from laboratory experiments to large-scale commercial applications, demonstrating the practical implementation of physical AI [3]. - Various robots, including wheeled robots, cleaning delivery robots, and humanoid robots, showcased their autonomous operation capabilities in complex environments, relying on Arm's high-efficiency computing platforms [3]. Group 3: Consumer Electronics - Edge AI has become a standard feature in PCs, laptops, and tablets, with the Windows on Arm ecosystem rapidly expanding, expecting over 100 related models to launch by 2026 [4]. - Devices like Apple MacBook, Google Chromebook, and Xiaomi tablets, based on Arm architecture, demonstrate the feasibility of efficiently performing AI tasks locally while achieving high performance and long battery life [4]. - The compact AI workstation NVIDIA DGX Spark, powered by Arm cores, can support local inference for models with 120 billion parameters [4]. Group 4: Wearables and Smart Home - The smart upgrade of wearables and smart home devices reflects the deep penetration of edge AI into daily scenarios, with new smart glasses and health rings utilizing low-power Arm chips for continuous local perception and inference, ensuring user privacy [4]. - Smart home systems are increasingly shifting AI processing tasks to local hubs to address energy efficiency, privacy, and reliability needs [4]. Group 5: Industry Trends - CES 2026 clearly illustrates the trend of intelligent technology integrating into transportation, mobile devices, smart homes, professional workstations, and various robotic applications [4]. - Despite the varying forms of AI across different devices, their reliable operation depends on a high-efficiency and scalable computing foundation [4].