英伟达光环
Nvidia Halos

原始链接: https://www.nvidia.com/en-us/ai-trust-center/halos/autonomous-vehicles/

NVIDIA Halos 是一套全面的全栈式安全系统,旨在确保自动驾驶汽车(AV)的开发与部署安全。通过整合硬件、人工智能模型、软件及各类工具,该系统为车辆的全生命周期——从云端训练到实际道路运行——提供了端到端的安全保障。 该系统集成了三大核心平台:用于模型训练的 NVIDIA DGX、用于仿真的 Omniverse 和 Cosmos,以及用于车端部署的 DRIVE AGX。这些平台由 NVIDIA Halos OS 串联,作为实现量产级安全和人工智能可解释性的统一基础。 除了满足自动驾驶汽车的监管标准外,NVIDIA Halos 还通过其专门的“人工智能系统检测实验室”(AI Systems Inspection Lab)促进严格的验证工作。通过将安全性和可靠性嵌入智能机器的架构框架中,该系统目前正扩展至机器人及其他自主应用领域,以提升其安全性。

Hacker News 最近的一场讨论凸显了用户对 Nvidia 一篇宣传页面的质疑。评论者批评该内容过度依赖“大语言模型式术语”和流行词,特别指出其中对“安全”(safety)一词的过度且重复使用——一位用户核查后发现该词出现了 136 次。 批评者还嘲讽了文中模棱两可的营销指标,例如“18,600 多个人年”和“7,000,000 行经过安全评估的代码”。参与者讨论了这些数据的有效性,有人将其斥为毫无意义的企业套话或可疑的生产力指标,也有人试图将这些行话解读为团队专业经验的累积计算。总体而言,社区认为这些宣传内容显得生硬,且缺乏实质性内容。
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原文

NVIDIA Halos is a full-stack, comprehensive safety system that unifies safety elements across vehicle architecture, AI models, chips, software, tools, and services to ensure the safe development and deployment of autonomous vehicles (AVs) from cloud to car.

The system covers the full development lifecycle with design-time, deployment-time, and validation-time guardrails that collectively build safety and explainability into AI-based AV stacks. These guardrails are implemented using three powerful computers—NVIDIA DGX™ for model training, NVIDIA Omniverse™ and Cosmos™ for simulation, and NVIDIA DRIVE AGX™ for deployment. At the heart of the vehicle, NVIDIA Halos OS provides the unified software foundation necessary to bridge these AI capabilities with production-ready safety.

NVIDIA Halos complements existing industry-standard safety practices, while introducing unique elements for autonomous vehicles. This ensures regulatory compliance and advances safe and reliable AV stacks, together with NVIDIA’s  Halos AI Systems Inspection Lab.

Halos is also extending its comprehensive safety framework beyond AVs to robotics, further enhancing the reliability and safety of intelligent systems.

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