In-Vehicle Computing for Autonomous Vehicles

High-Performance
In-Vehicle Computing for Autonomous Vehicles

Overview

Driving Next-Generation AV Breakthroughs

The future of mobility is driven by AI, and NVIDIA’s in-vehicle compute solutions are central to this transformation. The NVIDIA DRIVE Hyperion™ platform features two NVIDIA DRIVE AGX Thor™ systems-on-a-chip on a single board; the safety-certified NVIDIA DriveOS™  operating system; and a fully qualified multimodal sensor suite that includes 14 high-definition cameras, nine radars, one lidar, and 12 ultrasonics. This delivers the compute performance and redundancy necessary to enable L4 autonomous driving.

At its core, NVIDIA DRIVE AGX™ delivers the AI computing power for safe, intelligent driving, while NVIDIA DRIVE AV provides the end-to-end autonomous driving software stack. Together with the NVIDIA DriveOS™ safety-certified operating system, the platform enables real-time processing, security, and system monitoring to meet functional safety requirements.

As part of NVIDIA’s three-computer solution for AVs, DRIVE AGX works alongside NVIDIA DGX™ for AI model training and NVIDIA Omniverse™ and Cosmos™ for simulation and validation. NVIDIA Halos serves as the foundation for end-to-end safety, combining hardware, software, tools, and models to protect the entire AV stack, from the cloud to the car.

NVIDIA Alpamayo

This is a complete ecosystem of open VLA models, simulation frameworks, and physical AI datasets, designed to accelerate safe, reasoning-based autonomous vehicle (AV) development.

Features

Unmatched AI Computing for Autonomous Vehicle Innovation

NVIDIA DRIVE AGX delivers a scalable, energy-efficient, future-proof AI computing platform, engineered to process the most complex, real-time workloads essential for safe autonomous driving.

End-to-End Safety and Security

Safety-certified operating system (DriveOS), and hardware design principles comply with stringent automotive safety standards providing a foundation of trust. NVIDIA Halos provides deployment-time guardrails for run-time monitoring and real-time introspection, ensuring continuous protection and security across the entire AV stack, from the cloud to the car.

Future-Proof AI-Defined Architecture

Runs the latest and most demanding AI models, ensuring your vehicle’s capabilities evolve throughout its entire lifecycle with support for continuous hardware and software upgrades.

Sensor Fusion

Integrates data from the complete suite of sensors—including cameras, radar, lidar, and ultrasonic—to create a robust, 360-degree real-time perception of the environment.

Optimized Energy Efficiency

Features a power-efficient, in-vehicle architecture that delivers maximum AI performance with minimal thermal and energy impact.

Hardware

A Powerful AI Computing Platform

Delivering scalable, high-performance hardware for highly automated and fully autonomous driving.

NVIDIA DRIVE Hyperion

  • Two DRIVE AGX Thor in-vehicle computers based on Blackwell architecture.

  • Features 14 high-definition cameras, 9 radars, 1 lidar, and 12 ultrasonic sensors and a microphone array.

  • Includes DRIVE™ AV software, purpose-built for L4 autonomy.

NVIDIA DRIVE AGX ThorTM

  • Delivers more than 1,000 INT8 TOPS (2,000 FP4 FLOPs).

  • Offers a scalable architecture supporting Level 2+ to fully autonomous driving.

  • Provides superior safety, with ASIL-D compliance and redundancy.

NVIDIA DRIVE AGX OrinTM

  • Delivers up to 254 TOPS of AI performance.

  • Offers a scalable architecture supporting Level 2+ to fully autonomous driving.

  • Provides superior safety, with ASIL-D compliance and redundancy.

Software

Breakthroughs for Autonomous Vehicles

Enabling safe, scalable, and intelligent driving systems.

NVIDIA DriveOS

  • ASIL-D Safety Foundation: A production-proven, certified architecture that provides the base for the most advanced, mission critical applications

  • Unified AI Acceleration: Seamlessly powers both high-performance autonomous driving and an immersive cabin AI experience through dedicated acceleration for LLMs and VLMs

  • Unparalleled Versatility for Software Deployment: Cloud-to-car deployment for both QNX and Linux while providing a holistic security framework for the era of Software Defined Vehicles.

NVIDIA DRIVE AV

  • Features full-stack software that includes active safety, parking, and hands-off and eyes-off driving.

  • Provides state-of-the-art software architecture using an end-to-end model for self driving that ensures natural driving behavior, even in complex scenarios.

  • Features the NVIDIA Halos safety guardrail system that prioritizes both vehicle and occupant protection, from the cloud to car.

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. Alpamayo 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.

NVIDIA Automotive NIMs

Accelerated Training and Inference for Autonomous Vehicle Development

Suite of optimized AI models now available for AV developers.

bevformer

Advanced transformer for multi-frame, bird’s-eye-view 3D perception in autonomous driving.

sparsedrive

End-to-end autonomous driving stack integrating perception, prediction, and planning with sparse scene representations for efficiency and safety.

DRIVE Customers

A Shared Vision With Industry Leaders

Delivering industry-leading platforms for the world’s top automakers and mobility companies, built on NVIDIA DRIVE AGX.

Mercedes-Benz

NVIDIA is enabling a new era of AI-defined driving, bringing its level 2++ capabilities to U.S. roads this year, starting with Mercedes-Benz, a long-standing partner in advancing safe, intelligent mobility.

Toyota

Toyota, the world’s largest automaker, will build its next-generation vehicles on NVIDIA DRIVE AGX OrinTM, running the safety-certified NVIDIA DriveOS operating system.

General Motors

GM, the largest U.S. automaker, will use NVIDIA AI, Omniverse and DRIVE AGX to develop and build next-gen vehicles, factories, and robots.

JLR

Starting in 2026, JLR vehicles will be built on the NVIDIA DRIVE AI-defined platform—from the cloud, built on NVIDIA data center solutions, to the car, powered by NVIDIA DRIVE AGX Orin.

Volvo Cars

The Volvo EX90 is built on the NVIDIA DRIVE AGX Orin system-on-a-chip (SoC), with plans to migrate to the NVIDIA DRIVE Thor computer, running DriveOS for its future fleet of cars.

Rivian

Rivian and NVIDIA have partnered to revolutionize electric vehicles, with a focus on advanced autonomous driving capabilities, built on the high-performance compute of NVIDIA DRIVE AGX.

Resources

Latest Automotive News

Next Steps

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