Nvidia Jetson Nano

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Chieko Topalian

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Jan 25, 2024, 5:03:35 AM1/25/24

to ductcorseza

I have had the same issues as well. I have narrowed the issues down to the ubuntu updates. I do not know what package(s) is the offender but reflashing and installing only nvidia updates should not cause problems.

nvidia jetson nano

DOWNLOAD › https://t.co/pzwKxgINwB

There might be problem ,when you turn on screen share option in Nvidia ,which can be fixed by following the instruction in this link: GitHub - Aravindseenu/Nvidia-jetson-VNC-remote-access: steps to control NVIDIA jeson through remote control.

@hxn130599
Thank you for sharing!
However, your implementation probably also requires a display conencted to the jetson nano, so it would not run if the display is disconencted by the time the jetson nano boots?
otherwise?

I am grateful for your support
I am using right in the moment a 5 V power supply with a current range of 2,5V. Using those parameters allowed me to use the maximal power (10W) on my new jetson nano without any problem now

Hello ,
My team and I trying to use jetson nano as the companion computer .
Normally there will be some rework we shall consider while migrating the companion software setup.
are there any guidlines/steps on what to do in that case ?

The Jetson nano can be used as a general purpose Linux-powered computer, which has advanced uses in machine learning inference and image processing, thanks to its GPU accelerated processor. In terms of parallel processing, the Jetson Nano easily outperforms the Raspberry Pi series and pretty much any other Single Board Computers; which typically only consist of a CPU with one or more cores and lacks a dedicated GPU.

I have built an embedded system, originally it was on a PC based board, but I more recently moved it to a jetson nano. I started with NVidia's ubuntu 18.04 image, removed the desktop and replaced it with my software. My software expects that USB devices will not be mounted until I explicitly mount them.

I saw this video that presents the nvidia jetson nano development kit, in the video it shows how they turn examples based on cuda, on linux, since it is based on the arm processor, do you think it is possible to run blender 2.80 ??

2. In the GitHub repository, copy the recipes in the jetson_inference/recipes into your local GreengrassCore (i.e., /GreengrassCore/recipes). See the directory trees below that show the source paths in GitHub vs what it should look like in your GreengrassCore home directory after you copy them.