Template:JetsonNano/Main contents: Difference between revisions
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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''' supports high-resolution sensors, can process many sensors in parallel and can run multiple modern neural networks on each sensor stream. It also supports many popular AI frameworks, making it easy for developers to integrate their preferred models and frameworks into the product. | ||
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 devices, this platform has huge support from NVIDIA, Jetson Ecosystem Partners and the community. | |||
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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 | 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 makes more accessible the power of modern AI to makers, learners, and embedded developers. | ||
Revision as of 18:02, 19 July 2019
Part of the NVIDIA Nano series of RidgeRun documentation is currently under development. |
Welcome to RidgeRun's guide to NVIDIA Jetson Nano |
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NVIDIA Jetson Nano | ||||||||||||||||||
Related Documentation | ||||||||||||||||||
RidgeRun support | ||||||||||||||||||
RidgeRun provides support for embedded Linux development for NVIDIA's platforms, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators that NVIDIA exposes to perform transformations on the video streams achieving great performance on complex processes. This page contains detailed guides and information on how to get started with the NVIDIA Jetson Nano and start using its full capabilities. To get up-to-speed with your NVIDIA Jetson Nano board, start by clicking below:
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