Template:JetsonNano/Main contents: Difference between revisions
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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. | |||
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The '''Jetson Nano''' | 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 18:04, 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 | ||||||||||||||||||
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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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