Hardware for Self-Driving Cars

NVIDIA DRIVE® embedded supercomputing platforms process data from camera, radar, and lidar sensors to perceive the surrounding environment, localize the car to a map, then plan and execute a safe path forward. This AI platform supports autonomous driving, in-cabin functions, and driver monitoring, plus other safety features—all in a compact, energy-efficient package.

NVIDIA DRIVE Hyperion

NVIDIA DRIVE Hyperion™ is a production-ready platform for autonomous vehicles. This AV reference architecture accelerates development, testing, and validation by integrating DRIVE Orin™-based AI compute with a complete sensor suite that includes 12 exterior cameras, three interior cameras, nine radars, 12 ultrasonics, and one front-facing lidar, plus one lidar for ground truth data collection. DRIVE Hyperion features the full software stack for autonomous driving (DRIVE AV) as well as driver monitoring and visualization (DRIVE IX), which can be updated over-the-air, adding new features and capabilities throughout the life of the vehicle. It’s also designed to be compatible across generations, so partners can leverage current investments in the DRIVE Orin platform and seamlessly migrate to NVIDIA DRIVE Thor™ and beyond in the future.

NVIDIA DRIVE Hyperion
NVIDIA DRIVE Orin system on a chip

NVIDIA DRIVE Orin

The NVIDIA DRIVE Orin SoC (system-on-a-chip) delivers 254 TOPS (trillion operations per second) and is the central computer for intelligent vehicles. It’s the ideal solution for powering autonomous driving capabilities, confidence views, digital clusters, and AI cockpits. The scalable DRIVE Orin product family lets developers build, scale, and leverage one development investment across an entire fleet, from Level 2+ systems all the way to Level 5 fully autonomous vehicles.

NVIDIA DRIVE Thor

Our next-generation centralized car computer combines advanced driver assistance and in-vehicle infotainment on a single safe and secure system. The DRIVE Thor SoC leverages our latest CPU and GPU advances, including 8-bit floating point support (FP8), to deliver an unprecedented 1,000 INT8 TOPS / 1,000 FP8 TFLOPS / 500 FP16 TFLOPS of performance, while reducing overall system cost.

Find out how you can start developing AI-powered autonomous vehicles.