Nvidia Factory Reset

[Domenec Reynolds]

Iam trying to factory reset my Jetson Nano 4GB by flashing the memory card with a new image. But still after flashing the memory card with a new image, the Jestson Nano loads with the old image. It would be really helpful if you could please help me with the steps to reset my Jetson Nano 4GB.

I also tried to re-flash the board with the SDK manager. Though the SDK manager detects the device successfully, SDK Manager does not show me any Target Operating System option. I have attached a screenshot of the Android SDK herewith for your reference

Your board looks really like the devkit, but the devkit would not have eMMC and SD slot at the same time, and the SD slot would not be located at that position.

You may use SDK Manager to flash your board if the board design is not much different as the devkit, or you need to request the BSP package from your vendor and flash with script.

I am new to Jetson and I am pretty certain that while setting up the Jetson I did something wrong. I would like to start from the beginning once again, and an trying to figure out how to return the Jetson back to the factory settings. I followed instructions that I found:

But when I follow these instructions, after rebooting the Jetson I see all of the software and the environment that I set up still there. Which leads me to believe that I did not successfully reset the system back to the factory settings.

For devices using SD cards as the booting media, we provide images that can be easily flashed into SD cards, which can be done on Windows, Mac, and Linux.

But for devices using other storage devices, this may be done only with SDK Manager or flashing scripts in our BSP, and one will need a Linux PC to do so.

FYI, recovery mode just turns a Jetson (temporarily) into a custom USB device. It has no actual effect on the Jetson unless flash software runs. The flash software is designed to run on Linux (for an Orin you would want Ubuntu 20.04 for the host PC, although 18.04 can work). VMs (including WSL2) have some issues which will probably get frustrating. You are better off setting up a native Ubuntu 20.04 to dual boot with.

However, while doing this through interfacing with the host machine, I have encountered difficulties with this approach. Since the system is headless, using SDK manager becomes impossible, which then it seems that factory resetting might be a more challenging task.

I tried factory resetting the runtime to use the GPU again but it does not work. Furthermore, I restarted all sessions but this doesn't work either. Is there any method for me to be able to use the GPU again on Google Colab's free version?

If you use GPU regularly, runtime durations will become shorter and shorter and disconnections more frequent. The cooldown period before you can connect to another GPU will extend from hours to days to weeks. Google tracks everything. They not only know your accounts' usage but also the usage of accounts that appear related to your account and will adjust usage limits accordingly if they even suspect someone of trying to abuse the system. They will never give you an explicit reason why the runtime disconnected or why you can't connect to GPU other than the generic message about "usage limits". Neither will they ever give users a straightforward way to track their usage because all that would do is make it easier for people to skirt the restrictions. If your account is basically blacklisted they will never actually tell you your account is blacklisted because that creates more headaches for them. You'll just get the same message about usage limits when trying to connect forever. They prefer to have users confused and guessing because that keeps all the power with Google. And for a free service, who's to say there's anything wrong with that.

Edit: For Colab Pro they likely won't fatally restrict an account for over-usage but they can significantly restrict it by extending the cooldown period to 3-5 days, reducing runtime durations from 24 hrs to 6-8 hrs, etc. Keep in mind this is for people running multiple accounts multiple times a week for the maximum duration. If you're just using a single account once or twice a week you shouldn't have a problem.

Colab's free version works on a dynamic usage limit, which is not fixed and size is not documented anywhere, that is the reason free version is not a guaranteed and unlimited resources.

Basically, the overall usage limits and timeout periods, maximum VM lifetime, GPU types available, and other factors vary over time. Colab does not publish these limits, in part because they can (and sometimes do) vary quickly.

GPUs and TPUs are sometimes prioritized for users who use Colab interactively rather than for long-running computations, or for users who have recently used less resources in Colab. As a result, users who use Colab for long-running computations, or users who have recently used more resources in Colab, are more likely to run into usage limits and have their access to GPUs and TPUs temporarily restricted. Users interested in having higher and more stable usage limits can use Colab Pro.

Don't be disappointed, be relaxed, because it remains effective only for 1 day. You need to wait, and on the next day, you will get full access as previous. The cause of this unexpected message is remaining connected with GPU for a long time without utilizing it (i.e. not running the code that needs GPU). More details, the causes may be one of the followings:

What are the usage limits of Colab?Colab is able to provide free resources in part by having dynamic usage limits that sometimes fluctuate, and by not providing guaranteed or unlimited resources. This means that overall usage limits as well as idle timeout periods, maximum VM lifetime, GPU types available, and other factors vary over time. Colab does not publish these limits, in part because they can (and sometimes do) vary quickly.

I neglected to mention that the TV we use for the Tablo HDMI connection is a Sony with Google TV. So I can play the Tablo content on the Sony TV either by switching to the HDMI port for the Tablo or running the Tablo Android app on the Sony TV. Both work fine. On the Sony system I have not had to do a factory data reset to get audio to work through the Tablo app.

There is a complete background below (borne out of frustration) as to why I want to know this - but the basic question is how do I completely reset Xserver to the state it was in when I installed Ubuntu? I have searched over months for a way to do this and nothing has worked so far.

I (unfortunately) own a laptop with hybrid graphics (NVIDIA GeForce GTX 860M is the secondary GPU). This has given me no end of problems. I use Ubuntu Gnome, and have reinstalled it more times than I can count.

In the past I have tried to use the recommended Nvidia binary drivers package provided in Ubuntu. This does work initially, however, quite often a simple "apt-get upgrade" will break X and dump me at a black screen after boot. It is then almost impossible to recover as even purging all Nvidia packages and using ubuntu-drivers at the command line to change to nouveau (deleting the xorg.conf file too) doesn't seem to restore my graphics (even though that makes no sense... as surely that puts me back at the start?). I try all the available Nvidia packages (purging each time) but always end up at the black screen. I then reinstall Ubuntu Gnome and use the exact same Nvidia driver package, and it works!

More recently I tried to install Bumblebee as a possible end to my problems (i.e. as an alternative to using the Nvidia drivers for the entire X session). I reverted my main driver to nouveau (in the additional drivers app provided in ubuntu) and installed bumblebee following the standard Ubuntu guide. It didn't work with my card ("cannot access secondary gpu could not load gpu driver"), so I tried to upgrade the Nvidia drivers that Bumblebee uses (again following the instructions). This broke X. I purged Bumblebee and all related packages and reverted to nouveau.

As such, I want to know the most aggressive way I can simply reset Xserver and all associated packages each time this happense so I don't have to do a full reinstall. I want to know this for the future as it would be nice to at least be able to restore my system to a state where I can boot to a GUI and then try different options.

I have already seen this and this. The first is the most relevant, but doing that never works for me. Simply purging the Nvidia drivers doesn't seem to be enough. Something about Nvidia seems to linger (e.g. now when I have a magically reappearing Nvidia based xorg.conf file even though I have no nvidia packages installed).

Whether you own the NVIDIA Shield TV (2019) or the Pro variant, there may come a time when you need to clear everything out and start fresh. Thankfully, factory resetting an NVIDIA Shield TV is just as easy as factory resetting any Android phone or tablet.

The best and easiest way to delete all the data off your NVIDIA Shield TV (2019) is to factory reset it, which will wipe all user data and return the device to its original condition for you to set up from scratch again. You can't undo a factory reset, so be sure to back up any local videos or files on your Shield TV (2019) you want to keep.

Your NVIDIA Shield TV (2019) will begin factory resetting itself, deleting all user data, apps, and logins.The process itself takes just a few minutes, after which your NVIDIA Shield TV (2019) will reboot and bring up the beginning prompts to set up the device like new.

The best Android TV streaming box.

In terms of both hardware and software, the NVIDIA Shield TV 2019 is simply the best Android TV streaming box you can buy. It's a little pricier than other Android options, but you get a fully-featured Android TV experience, a capable gaming machine for streaming PC and Android games, and it's all backed by NVIDIA with great customer service and software support.

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