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NVIDIA DRIVE is a full-stack platform for autonomous vehicles, spanning cloud, simulation, and the vehicle.

NVIDIA DRIVE is a comprehensive AI platform designed to accelerate the development and deployment of autonomous vehicles. The platform includes NVIDIA DGX for AI model training, NVIDIA Omniverse for simulation and validation, and NVIDIA DRIVE AGX for in-vehicle computing. NVIDIA DRIVE Hyperion provides a validated vehicle reference architecture for Level 4 autonomy, while NVIDIA Alpamayo delivers open reasoning models for decision making. The architecture supports end-to-end AI workflows, from data curation to deployment, and is built with a safety-first approach. It offers scalability and redundancy for real-time perception, planning, and control, making it suitable for automakers, robotaxi providers, and other autonomous driving developers. The platform emphasizes high-fidelity simulation and integrates hardware, software, tools, models, and design principles to ensure AV safety across the lifecycle.
NVIDIA DRIVE is a comprehensive AI platform designed to accelerate the development and deployment of autonomous vehicles.
Explore all tools that specialize in ai model training. This domain focus ensures NVIDIA DRIVE delivers optimized results for this specific requirement.
Explore all tools that specialize in implement sensor fusion algorithms for autonomous navigation. This domain focus ensures NVIDIA DRIVE delivers optimized results for this specific requirement.
A comprehensive safety system encompassing hardware, software, tools, models, and design principles for end-to-end AV safety.
High-fidelity simulation environment for AV testing and validation using real-world sensor data and Cosmos World Foundation Models.
High-performance in-vehicle computing platform with safety-certified DriveOS for real-time perception, planning, and control.
Ecosystem of open models, simulation, and datasets for reasoning-based autonomous vehicles designed to handle complex, real-world driving scenarios.
High-performance AI training compute platform designed to accelerate autonomous vehicle development.
Install NVIDIA DRIVE SDK on development workstation.
Set up NVIDIA DGX for AI model training.
Integrate sensor data into the NVIDIA DRIVE platform.
Configure NVIDIA Omniverse for high-fidelity simulation.
Deploy AI models to NVIDIA DRIVE AGX in-vehicle computer.
Test autonomous driving capabilities in simulated and real-world environments.
All Set
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