Accelerating the Future of Autonomous Vehicles
Enabling Safe, AI-Defined Autonomous Vehicles
NVIDIA delivers a safety-first, full-stack platform for autonomous vehicles (AVs), spanning cloud, simulation, and the vehicle. AI models are trained on NVIDIA DGX™ and validated in NVIDIA Omniverse™ with Cosmos™ , while NVIDIA DRIVE AGX™ delivers in-vehicle, safety-certified compute. NVIDIA DRIVE Hyperion™ provides a validated vehicle reference architecture that makes vehicles Level-4 ready by design, with NVIDIA Halos establishing industry-leading safety guardrails across the lifecycle.
Level-4-Ready Vehicle Platform for AI-Defined Autonomy
NVIDIA DRIVE Hyperion is a validated, production-ready vehicle platform that accelerates autonomous driving development from Level 2++ to Level-4. Built on NVIDIA DRIVE AGX™ and safety-certified DriveOS™, Hyperion integrates high-performance centralized compute with a fully qualified multimodal sensor suite—delivering the performance, redundancy, and scalability required for real-time perception, planning, and end-to-end AI driving models.
AI Training at Scale
NVIDIA DGX delivers a high-performance AI training compute platform designed to accelerate autonomous vehicle development. Developers can further reduce bottlenecks with NVIDIA Cosmos data curation services to manage the massive datasets necessary for end-to-end training. Combining best-in-class NVIDIA software, infrastructure, and expertise in a unified AI development solution lets AV developers train and scale AV systems more efficiently.
High-Fidelity Simulation
NVIDIA Omniverse Blueprint for AV Simulation enables the ability to build and enhance digital twins from real-world sensor data, model physics and behavior, and generate physically accurate and diverse sensor data to accelerate AV development. Conditioned on these physically based environments in Omniverse, Cosmos World Foundation Models can generate new variations of a given scenario, including weather, lighting, and geography.
Introducing NVIDIA Alpamayo Open Models for Reasoning-Based Autonomy
Explore the family of open models, simulation, and datasets powering reasoning-based autonomous vehicles—designed to handle complex, real-world driving scenarios with transparent decision-making.
Building Safe, AI-Driven Autonomous Vehicles
The Path to Level 4 Autonomy
The next wave of autonomous vehicles demands AI that can see, reason, and act safely in complex real-world environments. NVIDIA DRIVE is an end-to-end platform that brings together open AI models, datasets, and high-fidelity simulation into a cohesive ecosystem for reasoning-based autonomy. From vision-language-action models to simulation blueprints, NVIDIA’s expanding portfolio accelerates learning, testing, and deployment—helping developers fast-track safe, Level 4 autonomy by design.
NVIDIA Halos: A Full-Stack Comprehensive Safety System for Autonomous Vehicles
Over 15,000 engineering years invested in AV safety have led to the NVIDIA Halos system for chip-to-deployment AV safety. It combines hardware, software, tools, models, and proven design principles to safeguard end-to-end AV stacks.
Autonomous Vehicle Innovation In Action
Turbocharge Autonomous Vehicle Development with
NVIDIA Inference Microservices (NIM™)
Tap into NVIDIA advanced AI models for AV-embedded software and cloud solutions to accelerate real-world deployment and improve efficiency.
Latest Keynotes and Demos
NVIDIA Keynote at GTC DC 2025
From Cloud to Car: Driving the Future of Safer, AI-Defined Mobility
Global Innovators Leading Level 4 Autonomy with NVIDIA
The Path to Level 4 Autonomy
How Robotaxis are Gaining Ground to Make Streets Safer
Ensuring Safe Autonomous Driving with NVIDIA Halos
NVIDIA Halos: Safety System for Autonomous Vehicle Development