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A subreddit for discussing the NVIDIA Jetson Nano, TX2, Xavier NX and AGX modules and all... find submissions in "subreddit" find submissions by "username"

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NVIDIA Jetson Nano enables the development of millions of new small, low-power AI systems. At just 70 x 45 mm, the Jetson Nano module is the smallest Jetson device. This production-ready System on Module (SOM) delivers big when it comes to deploying AI to devices at the edge across...

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The Jetson Nano Developer Kit uses a microSD card as a boot device and for main storage. Jetson Nano Developer Kit includes a gigabit Ethernet port, but also supports many common USB wireless networking adapters, e.g In case you get HTTP 404 Not found error then try the following command.Two types of Jetson Nano modules are available: SKU 0000, used in the Jetson Nano Developer Kit, and SKU 0020 offered for use in production devices. The two types of modules are functionally identical, so software developed on a Jetson Nano Developer Kit may be run on a Jetson Nano SKU 0020 module.

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Sep 20, 2018 · Please refer to my new blog post: Building TensorFlow 1.12.2 on Jetson Nano. I was testing TensorFlow/TensorRT (TF-TRT) models on Jetson TX2 and found the pre-built 1.9.0, 1.10.0, and 1.10.1 wheels provided by NVIDIA did not work too well (Reference: TensorFlow/TensorRT Models on Jetson TX2). My main TX2 sofwtare development environment was ...

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The Jetson Nano developer kit which houses the Nano module, accessories, pinouts, and ports is ready to use out of the box. It runs a customized Ubuntu 18.04 called Linux4Tegra for the Tegra series chips powering the Nvidia Jetson modules.

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