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Freigegebene technische Dokumentation veröffentlicht; Text-only und noindex

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'''Documentation notice:''' This technical documentation was independently rewritten from an archived supplier source. Check technical details and commands against the product version and manufacturer documentation before use.

== Summary ==
Technical overview and configuration guide for the NVIDIA Jetson Orin Nano AI development module, including hardware specifications, firmware updates, and AI runtime environment setup.

== Related products at JW Tech ==
* [https://shop.jw-tech.eu/p/WSAL24432 WSAL24432 – N-VIDIA Jetson Orin Nano AI Development Module, System-on-Module, NANO Size, Options for Memory]
* [https://shop.jw-tech.eu/p/WSAL24433 WSAL24433 – N-VIDIA Jetson Orin Nano AI Development Module, System-on-Module, NANO Size, Options for Memory]
* [https://shop.jw-tech.eu/p/WSAL24435 WSAL24435 – N-VIDIA Jetson Orin Nano AI Development Kit for Embedded and Edge Systems, with 8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24498 WSAL24498 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24499 WSAL24499 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24500 WSAL24500 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24501 WSAL24501 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24502 WSAL24502 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24503 WSAL24503 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24504 WSAL24504 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24505 WSAL24505 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24506 WSAL24506 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24507 WSAL24507 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24508 WSAL24508 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL24509 WSAL24509 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL30211 WSAL30211 – N-VIDIA Jetson Orin Nano Super AI Development Kit for Embedded and Edge Systems, with 8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL33174 WSAL33174 – Jetson Orin Nano AI Dual ETH Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL33175 WSAL33175 – Jetson Orin Nano AI Dual ETH Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL33176 WSAL33176 – Jetson Orin Nano AI Dual ETH Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL33177 WSAL33177 – Jetson Orin Nano AI Dual ETH Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL33423 WSAL33423 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL33424 WSAL33424 – Jetson Orin Nano AI Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL33425 WSAL33425 – Jetson Orin Nano AI Dual ETH Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]
* [https://shop.jw-tech.eu/p/WSAL33426 WSAL33426 – Jetson Orin Nano AI Dual ETH Development Kit For Embedded And Edge Systems, Options for 4GB/8GB Memory Jetson Orin Nano Module]

== Technical overview ==
* The module is available in 4 GB and 8 GB LPDDR5 memory versions, delivering up to 20 or 40 TOPS of AI performance.
* It features a 6-core Arm Cortex-A78AE v8.2 64-bit CPU and a 1024-core NVIDIA Ampere GPU with 16 (for 4 GB) or 32 (for 8 GB) Tensor Cores.
* The official developer kit is based on the 8 GB module and adds an SD card slot for system installation.
* To enter recovery mode, short the FC REC and GND pins under the module with jumpers, then connect via a USB data cable to an Ubuntu host.
* Firmware updates require an Ubuntu 20.04 or 22.04 host; upgrading to the Super version uses a script with Jetpack 6.2 rather than the SDK Manager.
* Installing TensorFlow and PyTorch requires downloading the corresponding wheel packages from the official download center; Torchvision must match the installed PyTorch version.

'''Commands and examples – verify before use:'''
<syntaxhighlight lang="text">
sudo dpkg -i sdkmanager_1.6.1-8175_amd64.deb
sudo apt --fix-broken install
sudo mkdir orin_nano && cd orin_nano
wget https://developer.nvidia.com/downloads/embedded/l4t/r36_release_v4.3/release/Jetson_Linux_r36.4.3_aarch64.tbz2
wget https://developer.nvidia.com/downloads/embedded/l4t/r36_release_v4.3/release/Tegra_Linux_Sample-Root-Filesystem_r36.4.3_aarch64.tbz2
sudo tar xf Jetson_Linux_r36.4.3_aarch64.tbz2
sudo tar xpf Tegra_Linux_Sample-Root-Filesystem_r36.4.3_aarch64.tbz2 -C Linux_for_Tegra/rootfs/
cd Linux_for_Tegra/ && sudo ./tools/l4t_flash_prerequisites.sh && sudo ./apply_binaries.sh
sudo ./tools/l4t_create_default_user.sh -u jetson -p jetson1 -a
sudo ./tools/kernel_flash/l4t_initrd_flash.sh --external-device nvme0n1p1 -p "-c ./bootloader/generic/cfg/flash_t234_qspi.xml" -c ./tools/kernel_flash/flash_l4t_t234_nvme.xml --showlogs --network usb0 jetson-orin-nano-devkit-super external
sudo apt-get update -y && sudo apt-get install nvidia-jetpack -y
pip3 install tensorflow-2.12.0+nv23.05-cp38-cp38m-linux_aarch64.whl
python3 -c "import tensorflow as tf; print(tf.__version__)"
sudo apt-get install libjpeg-dev zlib1g-dev libpython3-dev libavcodec-dev libavformat-dev libswscale-dev libopenblas-base libopenmpi-dev
sudo pip3 install torch-2.0.0+nv23.05-cp38-cp38-linux_aarch64.whl
python3 -c "import torch; print(torch.__version__); x = torch.rand(5, 3); print(x)"
git clone --branch v0.14.1 https://github.com/pytorch/vision torchvision && cd torchvision && export BUILD_VERSION=0.14.1 && sudo python3 setup.py install
</syntaxhighlight>

== Notes and version constraints ==
* Exact firmware and software versions are location- and time-dependent; verify all steps against current NVIDIA documentation before execution.
* Upgrading to the Super version depends on the availability of the official upgrade by NVIDIA; this may be delayed.
* Using a virtualization host requires additional configuration steps that are only partially described in the source text.
* VNC server setup and remote login require manual confirmation of network parameters.
* Compatibility between JetPack, CUDA, and Python environments must be verified before installation; version conflicts can cause failures.

== Source and revision record ==
* [https://www.waveshare.com/wiki/Jetson_Orin_Nano Jetson Orin Nano - Waveshare Wiki]
* Source revision: 109261
* Captured: 2026-09-04T04:18:18+00:00
* SHA-256: <code>1767eaca488773f8d3772101a7ec573bacc62c62b86aeab7e953226de4f85db1</code>

WSAL24432 – Jetson Orin Nano/en - Versionsgeschichte

JWTechPublisher: Freigegebene technische Dokumentation veröffentlicht; Text-only und noindex