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VVDN-JXN-NX is an AI development system developed by VVDN that brings supercomputer performance to the edge. The development system includes a power-efficient, compact Jetson Xavier™ NX module along with a carrier board for developing edge AI devices.
The entire development system is supported by the NVIDIA JetPack™ SDK with a customized BSP. The development system is backed up with the familiar Linux environment, CUDA-X accelerated libraries, APIs, and tools for edge AI application development. It also supports higher-level SDKs such as NVIDIA DeepStream for streaming video analytics. The AI development system can be used by Intelligent Machine OEMs, AI Application developers, to develop and test power-efficient, small form factor solutions with accurate, multi-modal AI inference.
|Operating Temperature Range||
|VVDN-JXN NX Development System User Guide||1.0||01/03/2022|
|VVDN-JXN-NX Development System Quick Start Guide||1.0||16/03/2022|
|Package Info||BSP Release||Source Patches||Release Date|
|Package Information||Jetpack Version||Release Date|
|SD, SSD BOOT ON VVDN-JXN-NX||1.0||10/08/2022|
|How to Use the Deepstream and get 16 RTSP Cameras with the sample AI Mode||1.0||15/09/2022|
|BSP Programmers Reference Manual: Device Tree Changes, Customizations Expansion connector programming, How to configure the Pins||1.0||22/09/2022|
|Triton Server Implementation||1.0||27/09/2022|
|How to Connect the Debugger Tools - Nsight, Traces||1.0||30/09/2022|
|How to use VVDN-JXN-NX with SDK Manager||1.0||20/10/2022|
|Cloud-native Applications: Docker Containers,Kubernetes||1.0||21/10/2022|
|Getting Ready with the ROS operating System with the VVDN-JXN-NX Board||1.0||28/10/2022|
|Sample Device Tree Overlay To Enable PWM Fan||1.0||05/12/2022|
VVDN-JXN-NX development system is a replica of the NVIDIA Xavier NX developer kit with some added features. It comes with a production quality carrier board designed and manufactured by VVDN powered with the powerful Xavier NX 16 GB SOM module by NVIDIA.
The development system is powered with Nvidia Production ready Jetson Xavier NX 16GB module that delivers up to 21 TOPS for running modern AI workloads and consumes as little as 10 watts of power.
The carrier board is completely designed, developed and manufactured by VVDN Technologies
The development system is readily available in stock. You just have to fill and submit the “enquire now” form and our sales representative will get back to you.
The expansion Header pinout is different from the NVIDIA Xavier NX developer kit (VVDN Board 2x16 connector VS NVIDIA Board 2x20 connector). For all the other connectors, pinout is same, as per the NVIDIA Xavier NX developer Kit.
Yes, you can flash the original device tree i.e. Jetpack from NVIDIA. However, some of the interfaces including EEPROM, On board temperature sensor, SD card and 4 Lane MIPI may not work. You have to apply the suitable patch, available on VVDN website to get all these interfaces working.
VVDN-JXN-NX development system supports SD card size of upto 512 GB.
Yes, it does. The steps for booting the development system via SD card are mentioned in the quick start guide.
Yes. The development system supports all the boots including USB boot, SSD boot, NFS boot.
All types of USBs, till type 3.1 are supported on this development system.
The size of the carrier board is 120 mm x 90 mm. The STEP/cad file is available under the downloads section if you want to evaluate if it fits in your end solution.
The operating temperature for the development system is 0°C to +65°C with provided heat sink and fan.
The complete VVDN-JXN-NX development system is FCC certified.
Yes, VVDN being a premier electronics product engineering company is happy to provide support on all types of customization on the carrier board.
Yes, the full system, with sheet metal enclosure and active heat sink is also available with a specific lead time.
VVDN has its own mechanical manufacturing facility, customized mechanical enclosure depending on your requirement whether IP65, IP67, fanless solution is also available with fast turnaround time.
SD card/NVME booting can be utilized for this purpose, Steps for the same are available in our Application notes.
As of now VVDN_JXN_NX have been tested up to 2TB SSD.
Verify if python2.7 is available in the host PC,if not install the same. Then run the following command “sudo ln -s /usr/bin/python2.7 python” in the usr/bin folder
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