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NVIDIA Jetson Nano is an embedded system-on-module (SoM) from the NVIDIA Jetson family. It is a small, and powerful computer for embedded AI systems and IoT that delivers the power of modern AI in a low-power and low-cost platform. This is the smallest, cheapest and less power consumption device of the Jetson Family, but still maintains a high computing capability that delivers the performance and power efficiency needed for the latest visual computing applications, making it a very good option for embedded deep learning, computer vision, IoT, graphics, and GPU computing projects.   


The Jetson Nano comes with an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O. It provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption. Jetson Nano runs Linux and its compatible with all the Jetson family software stack (Jetpack, L4T, CUDA, DeepStream, TensorRT, CuDNN, AI Frameworks ...). As it is common with all the NVIDIA Jetson Family, this platform has huge support from NVIDIA, Jetson Ecosystem Partners and the community.
NVIDIA '''Jetson Nano''' is an embedded system-on-module (SoM) from the NVIDIA Jetson family. It is a small, and powerful computer for embedded AI systems and IoT that delivers the power of modern AI in a low-power and low-cost platform. This is the smallest, cheapest and less power consumption device of the Jetson Family, but still maintains a high computing capability that delivers the performance and power efficiency needed for the latest visual computing applications, making it a very good option for embedded deep learning, computer vision, IoT, graphics, and GPU computing projects.    


Jetson Nano comes in two versions — the $99 devkit for developers, makers and enthusiasts and the $129 production-ready module for companies looking to create mass-market edge systems.


The Jetson Nano Developer Kit is an easy to use, low power consumption (5-10W), small and powerful computer/platform that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing out of the box. This kit opens and gives access to the power of modern AI to makers, learners, and embedded developers.
The '''Jetson Nano''' comes with an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O. It provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption. '''Jetson Nano''' runs Linux and its compatible with all the Jetson family software stack (Jetpack, L4T, CUDA, DeepStream, TensorRT, CuDNN, AI Frameworks ...). As it is common with all the NVIDIA Jetson Family, this platform has huge support from NVIDIA, Jetson Ecosystem Partners and the community.
 
 
'''Jetson Nano''' comes in two versions — the $99 devkit for developers, makers and enthusiasts and the $129 production-ready module for companies looking to create mass-market edge systems.
 
 
The '''Jetson Nano''' Developer Kit is an easy to use, low power consumption (5-10W), small and powerful computer/platform that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing out of the box. This kit opens and gives access to the power of modern AI to makers, learners, and embedded developers.
 




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