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NVIDIA Debuts the Jetson Xavier NX, a Credit Card-sized Supercomputer for AI at the Edge

NVIDIA Logo

Organization: NVIDIA Corp.
Country: United States
Website: www.nvidia.com
Year Founded: 1993
Number of Employees: 13,200+
Innovation Class: Technology & Services Innovation
Innovation Subclass: Product Introduction

The Jetson Xavier NX, like all Jetson family members, is enabled and supported by NVIDIA’s programming model and solution stack.

Description:
RBR50 Robotics Innovation Awardsobotics Business ReviewIn November 2019, NVIDIA launched the latest entry into the company’s Jetson portfolio of embedded processors, the Jetson Xavier NX, a powerful, low-power edge-computing platform for machine learning inferencing. With a form factor smaller than the size of a credit card, the Jetson Xavier NX delivers up to 21 terra operations per second (TOPS) for running artificial intelligence workloads. It consumes as little as 10 watts of power. The NX can also run multiple neural networks in parallel and process data  om multiple sensors simultaneously.

Analysis:
The Jetson Xavier NX, like all Jetson family members, is enabled and supported by NVIDIA’s programming model and solution stack. For example, all Jetson developers can use NVIDIA’s CUDA-X GPU acceleration libraries for data science and machine learning. The same holds for NVIDIA’s JetPack (including CUDA, cuDNN, and TensorRT) and DeepStream so ware development kits. The Jetson family is also agnostic regarding machine learning, supporting the most widely used  ameworks, such as TensorFlow, PyTorch, Caff e, and MXNet and their “lite” equivalents, as well as less-common libraries and tools.

For developers of commercial robots, drones and other edge computing devices that demand high performance, but are constrained by power and size considerations, the Jetson Xavier NX checks all boxes and at a very affordable price ($399). While it is ideally suited as an IoT edge device, the NX is primarily engineered to support AI on the edge – really machine learning / deep learning on the edge - and it does that very well - Dan Kara

Jetson Xavier NX
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