英伟达（NVIDIA）创始人兼首席执行官黄仁勋近期在多个公开场合表示：‘未来十年，很多汽车将是自动驾驶的。’这一观点不仅反映了他对人工智能与汽车工业融合趋势的深刻洞察，也凸显了英伟达在自动驾驶技术领域的战略布局。黄仁勋认为，随着AI芯片性能的飞速提升、感知算法的不断优化以及高精地图和车路协同基础设施的完善，L3及以上级别的自动驾驶将逐步成为主流。他特别强调，自动驾驶不仅仅是技术问题，更是系统工程，需要强大的计算平台作为支撑。英伟达推出的DRIVE平台正是为此而生，已吸引包括奔驰、比亚迪、小鹏等众多车企采用。此外，黄仁勋指出，未来的汽车将如同‘带轮子的数据中心’，每辆车每天可能产生数TB的数据，用于训练和优化自动驾驶模型。这将进一步推动AI与云计算、边缘计算的协同发展。尽管完全无人驾驶（L5）仍面临法规与安全挑战，但黄仁勋对2030年前实现大规模有条件自动驾驶充满信心。总体而言，黄仁勋的判断不仅代表了科技巨头对产业变革的预判，也为全球汽车产业指明了智能化转型的方向。
Jensen Huang, founder and CEO of NVIDIA, recently stated in multiple public forums: ‘In the next decade, many cars will be autonomous.’ This remark not only reflects his deep insight into the convergence of artificial intelligence and the automotive industry but also highlights NVIDIA’s strategic focus on autonomous driving technologies.Huang believes that with rapid advancements in AI chip performance, continuous improvements in perception algorithms, and the maturation of high-definition mapping and vehicle-to-infrastructure (V2X) systems, Level 3 and higher autonomous driving will gradually become mainstream. He emphasizes that autonomous driving is not just a technological challenge but a complex systems engineering problem requiring powerful computing platforms—precisely what NVIDIA’s DRIVE platform aims to deliver. Already, automakers like Mercedes-Benz, BYD, and XPeng have adopted this platform.Moreover, Huang notes that future vehicles will essentially become ‘data centers on wheels,’ potentially generating several terabytes of data per day to train and refine autonomous driving models. This will further accelerate the synergy between AI, cloud computing, and edge computing. While full autonomy (Level 5) still faces regulatory and safety hurdles, Huang remains confident that large-scale conditional autonomy will be widely realized by 2030.Overall, Huang’s outlook not only signals a tech giant’s vision for industrial transformation but also charts a clear course for the global automotive sector’s intelligent evolution.
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