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 AGX Hyperion™ 10 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, 9 radars, 1 lidar, and 12 ultrasonics—delivering 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 the NVIDIA DriveOS safety-certified operating system 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 Makes the World Robotaxi-Ready With Uber Partnership to Support Global Expansion

Learn how Stellantis, Lucid, Mercedes-Benz, Waabi, and Volvo Autonomous Solutions are adopting the NVIDIA DRIVE AV platform and the DRIVE AGX Hyperion 10 architecture to accelerate autonomous driving.

Benefits

High-Performance AI Computing

NVIDIA DRIVE AGX gives you a scalable and energy-efficient AI computing platform designed to process the complex workloads required for autonomous driving.

Security and Safety

Includes the hardware and software elements, tools, models, and design principles to comply with automotive safety standards and regulations.

AI-Defined Architecture

Enables continuous upgrades and enhancements through over-the-air (OTA) updates.

Sensor Fusion

Integrates data from multiple sensors, including cameras, radar, lidar, and ultrasonic for robust perception.

Energy Efficiency

Optimized for in-vehicle deployment with a power-efficient architecture.

Hardware

A Powerful AI Computing Platform

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

NVIDIA DRIVE AGX Hyperion 10

  • 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

  • Provides real-time, safe, and certified architecture that supports a hypervisor for workload isolation, QNX for real-time performance, and ASIL-D compliance for safety.

  • Includes high-performance AI and compute that uses NVIDIA® CUDA®, TensorRT™, and hardware accelerators (GPU, DLA, PVA) for AI optimization and multi-sensor fusion.

  • Offers a scalable and modular software stack that enables seamless integration with DriveWorks middleware, virtualization, and simulation for development and validation.

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

Recent breakthroughs in AI—from foundation and reasoning models to high-fidelity simulation and safety validation—are making level 4 autonomy a reality. NVIDIA’s end-to-end platform forms a rich ecosystem for learning, testing, and deployment, accelerating innovation while keeping safety at the center.

The Path to Level 4 Autonomy

Recent breakthroughs in AI—from foundation and reasoning models to high-fidelity simulation and safety validation—are making level 4 autonomy a reality. NVIDIA’s end-to-end platform forms a rich ecosystem for learning, testing, and deployment, accelerating innovation while keeping safety at the center.

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.

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.

Mercedes-Benz

Automotive safety pioneer, Mercedes-Benz, is adopting NVIDIA DRIVE AGX Hyperion±—the industry’s first and only end-to-end autonomous driving platform.

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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