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  • Writer's pictureNATALIA SOUSA

New Autonomous Computing Unit Built on NVIDIA DRIVE Orin has developed a complete autonomous computing unit built on the NVIDIA DRIVE Orin™ system-on-chip (SoC), marking a significant milestone in its move from industrial-grade to automotive-grade hardware. In addition, the company says the autonomous computing unit powered by NVIDIA DRIVE Orin will rapidly accelerate the roll-out of’s Level 4 capabilities. As a result, the next generation of the company’s autonomous vehicle (AV) hardware will be automotive grade and mass-production ready with the start of production slated for the end of 2022.

NVIDIA DRIVE Orin achieves 254 TOPS (trillion operations per second) of performance, and includes comprehensive CUDA® and NVIDIA® deep learning accelerator (NVDLA) toolchain support.’s autonomous computing unit features low latency, high performance, and high reliability. The company is one of the first in the AV industry to create a product portfolio featuring multiple configurations with one or more DRIVE Orin processors and automotive-grade NVIDIA Ampere architecture GPUs. This enables scalable deployment across self-driving trucks and robotaxis, and accelerates’s future of a robust, mass-production platform for AVs.

“By leveraging the world-class NVIDIA DRIVE Orin SoC, we’re demonstrating our design and industrialization capabilities plus the ability to develop and deliver a powerful mass-production platform at an unprecedented scale. This will help us realize our vision of bringing safe autonomous mobility solutions to all,” said James Peng, co-founder and CEO of

Gary Hicok, Senior Vice President of Engineering at NVIDIA, added, “As a close collaborator with since their inception, we applaud their vision and execution with the development of their AV system architecture to bring safe, Level 4 capabilities to market.”

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