Quelltext der Seite WSAL24222 – JETSON-ORIN-NX-8G-DEV-KIT/en

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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 of the Waveshare Jetson Orin NX 16GB developer kit: hardware specs, user guide, firmware upgrade path, and flashing process.

== Related products at JW Tech ==
* [https://shop.jw-tech.eu/p/WSAL24222 WSAL24222 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24223 WSAL24223 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24289 WSAL24289 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24290 WSAL24290 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24291 WSAL24291 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24292 WSAL24292 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24473 WSAL24473 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24474 WSAL24474 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24475 WSAL24475 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24476 WSAL24476 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24477 WSAL24477 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL24478 WSAL24478 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL33419 WSAL33419 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]
* [https://shop.jw-tech.eu/p/WSAL33420 WSAL33420 – Jetson Orin NX AI Development Kit For Embedded And Edge Systems, Options for 8GB/16GB Memory Jetson Orin NX Module]

== Technical overview ==
* The kit is based on the NVIDIA Jetson Orin NX module with 16 GB LPDDR5 (128-bit, 102.4 GB/s) and a 1024-core Ampere GPU with 32 tensor cores.
* The CPU is an 8-core Arm Cortex-A78AE v8.2 64-bit processor with 2 MB L2 and 4 MB L3 cache.
* Two variants: DEV-KIT-A includes an 8 MP camera (3280 x 2464); DEV-KIT-B adds a 13.3-inch capacitive touch display (1920x1080, 10-point touch, built-in speaker).
* The base kit ships the 16 GB module without onboard storage; a 256 GB NVMe SSD is included.
* Default login: if preconfigured, both username and password are 'jetson'.
* Without a screen, use Putty over a USB port for configuration.
* Upgrading to Super requires an Ubuntu 20.04 or 22.04 host; the Waveshare kit must be updated via script with Jetpack 6.2, not through the SDK Manager.
* Flashing: short the FC REC and GND pins, connect DC power, then connect the board to the Ubuntu host via a Type-C data cable.
* Install the SDK by running: sudo apt update; sudo apt install nvidia-jetpack.
* Install jtop: sudo apt install python3-pip; sudo pip3 install jetson-stats; reboot, then run jtop and set fan speed manually via profiles.

'''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 update
sudo apt install nvidia-jetpack
sudo apt install python3-pip
sudo pip3 install jetson-stats
sudo reboot
jtop
</syntaxhighlight>

== Notes and version constraints ==
* The upgrade instructions reference Jetson Orin Nano/NX Super; whether the same procedure applies exactly to the 16 GB Orin NX kit needs NVIDIA confirmation.
* The source contains template placeholders (&#123;&#123;&#123;name5&#125;&#125;&#125;, &#123;&#123;&#123;userDefinedInfo&#125;&#125;), indicating incomplete or version-sensitive content.
* The wget URLs point to r36.4.3 resources; newer versions may affect compatibility – verify the current version before flashing.
* The l4t_initrd_flash.sh script uses the argument 'jetson-orin-nano-devkit-super'; for the Orin NX 16 GB a different board identifier may be required.
* No safety certifications, warranty, or pricing information is present in the source; these should not be inferred.

== Source and revision record ==
* [https://www.waveshare.com/wiki/JETSON-ORIN-NX-8G-DEV-KIT JETSON-ORIN-NX-16G-DEV-KIT - Waveshare Wiki]
* Source revision: 110873
* Captured: 2026-09-04T03:59:33+00:00
* SHA-256: <code>f7f0bdb8dbd34b4377a040985cc0aa1736209482efbb2ca2bd55fd0760a2995e</code>