英伟达的“大脑”革命：首个会推理的自动驾驶 AI “Alpamayo” 发布，奔驰率先上车

橙芯视界01-12

在 CES 2026 正式开幕前的发布会上，英伟达（NVIDIA）CEO 黄仁勋抛出了一个震撼业界的预测：“将来道路上行驶的 10 亿台汽车，都将变成自动驾驶车。”为了实现这一宏愿，英伟达不再满足于仅提供芯片，而是发布了名为“Alpamayo”的自动驾驶 AI 开发基座，并宣布了一个令行业咋舌的决定：开源。1. 重新定义 E2E：从“看与动”到“思考”此次发布的Alpamayo被定义为实现End-...

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正式开幕前的发布会上，英伟达（NVIDIA）CEO 黄仁勋抛出了一个震撼业界的预测：“将来道路上行驶的 10 亿台汽车，都将变成自动驾驶车。”为了实现这一宏愿，英伟达不再满足于仅提供芯片，而是发布了名为“Alpamayo”的自动驾驶 AI 开发基座，并宣布了一个令行业咋舌的决定：开源。1. 重新定义 E2E：从“看与动”到“思考”此次发布的Alpamayo被定义为实现End-to-End（端到端）自动驾驶的核心开发基座。其核心突破在于引入了类似人类的思考能力。业界首创 VLA 模型：Alpamayo 的核心是“Alpamayo 1”模型家族。这是一种VLA（Vision-Language-Action，视觉-语言-动作）模型，能够将视觉信息和语言作为输入，直接输出驾驶动作。具备“逻辑推断”能力：英伟达强调，这是业界首个具备逻辑推断能力的 VLA 模型。这意味着 AI 不再只是简单地根据图像做出反应，而是能进行因果推理，理解复杂的交通场景。[图片 1] 英伟达 CEO 黄仁勋发布 Alpamayo图注：黄仁勋在 CES 2026 舞台上展示 Alpamayo 的架构。屏幕显示，该模型接收“自身运动历史”、“多摄像头视频”甚至“用户指令”作为输入，经过中间的 Alpamayo 大脑处理，输出“驾驶决策”、“因果推断”和“轨迹”。2. 数据母体：用 Cosmos 生成“虚拟世界”Alpamayo 的强大推断能力，离不开高质量数据的喂养。英伟达揭秘了其背后的“数据工厂”——NVIDIA Cosmos。物理 AI 的基石：Cosmos 是英伟达在一年前（CES 2025）发布的“世界基座模型（WFM）”。它理解物理法则，能够生成符合现实规律的合成数据。解决数据饥渴：传统的自动驾驶开发需要实车跑出海量数据，成本高昂且耗时。而 Cosmos 可以充当“生成数据的 AI”，源源不断地产生合成数据。黄仁勋透露，Alpamayo 是由“人类真实走行数据”和“Cosmos 生成的庞大合成数据”共同训练而成的。3. 彻底的“开源”战略：代码、权重、数据全给为了加速自动驾驶生态的发展，英伟达采取了极其激进的开放策略，几乎掏空了“家底”给开发者。模型权重公开：Alpamayo 1 拥有100亿参数。英伟达宣布将其作为开放模型提供，并直接公开了模型的权重。仿真平台开源：作为 Alpamayo 的一部分，仿真基座“AlpaSim”以OSS的形式提供，并已在 GitHub 上发布。开发者可以在其中自由模拟行人不规则运动、施工现场、天气光照等复杂环境，大规模测试 AI 的推断能力。海量数据共享：英伟达甚至开源了其收集的1700小时以上的驾驶数据集，涵盖了各种复杂环境，开发者可直接在 Hugging Face 上下载。4. 朋友圈扩容：奔驰与 Uber 入局这项新技术已经有了重量级的落地合作伙伴。梅赛德斯-奔驰：作为首批用户，奔驰已经利用 Alpamayo 开发了自动驾驶车辆。黄仁勋宣布，2026年上半年，搭载该技术的奔驰车辆就将在美国的公路上开始行驶。Uber：英伟达在 2025 年 10 月与Uber达成了 Robotaxi 开发合作，Uber 也被认为正在使用 Alpamayo 进行技术研发。[图片 2] 英伟达展示自动驾驶生态系统图注：PPT 展示了基于 NVIDIA 构建的全球 L4 和 Robotaxi 生态系统。除了奔驰和 Uber，我们还能看到电装、小马智行、Zoox 等行业巨头的 Logo。“橙芯”视点1. 自动驾驶进入“逻辑思考”时代Alpamayo 的发布标志着自动驾驶技术的一个分水岭。过去，我们依赖简单的端到端模型，虽然反应快但缺乏可解释性。英伟达引入推断能力，意味着 AI 开始像人类司机一样拥有直觉和逻辑的双重能力。这对于处理罕见的Corner Cases至关重要。2. 以“开源”换“生态”的阳谋英伟达不仅送模型、送仿真软件，甚至连最宝贵的“数据”和“权重”都开源了。这显然是为了构建一个以 英伟达为核心的L4 级自动驾驶标准生态。当开发者习惯了用 AlpaSim 仿真、用 Alpamayo 训练、用 Cosmos 生成数据时，他们自然离不开英伟达的 GPU 和 Thor 芯片。这是一种极其高明的“降维打击”——用免费的顶层软件，锁死底层的硬件算力需求。3. “合成数据”成为胜负手文中反复提及 Cosmos 的作用，揭示了行业的新共识：仅靠真实路测数据已经不够了。谁能掌握高质量的“合成数据”生成能力，谁就能以更低的成本、更快的速度迭代 AI。英伟达通过 Cosmos + Alpamayo 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