Jetson Nano Image Filesystem Unsupported?

  • balena CLI version: e.g. 11.28.4
  • Operating system version: MacOSX 10.14.6
  • 32/64 bit OS and processor: 64-bit, 3.1 Ghz Intel Core i5
  • Install method: MacOSX executable installer

I’m trying out balena for the jetson nano and just following your steps on “Getting Started” but I can’t seem to hit a roadblock when configuring the base image:

Unsupported filesystem when sudo balena local configure ~/Downloads/balena.img


$ sudo balena local configure ~/Downloads/balena.img
? Network SSID I_Love_Unicorns
? Network Key superSecretPassword
? Do you want to set advanced settings? Yes
? Device Hostname mydevice
? Do you want to enable persistent logging? no


Unsupported filesystem.

Additional information may be available by setting a DEBUG=1 environment
variable: "set DEBUG=1" on a Windows command prompt, "$env:DEBUG = 1" on
powershell, or "export DEBUG=1" on Linux or macOS.

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For CLI bug reports or feature requests, have a look at the GitHub issues or
create a new one at:

Setting DEBUG=1 via export DEBUG=1 did not reveal any more verbose error logs.

Can someone point out what is going wrong?

Hi there, thanks for reaching out. I can confirm that I am getting the same error when downloading the OS image from and try to configure it. We will look into this and get back to you. In the meantime, is there a reason you are not using balenaCloud? You can download a pre-configured image from the dashboard which will mitigate the current issue you are seeing with the CLI.


I’m afraid I have some bad news, the jetson nano is currently not supported to be configured like this, because it requires a very specific partition layout. We do however have a plan to make this work and I’ve attached this thread to our internal issue for this, so we can update this thread once it is fixed.

@sradevski @afitzek

I mean, I virtually just heard of the balena ecosystem and was looking to see if I could get something going. Didn’t expect to hit a roadblock while following “Getting started” documentation:

This was the post that caught my eye:

I am currently working on a Dockerfile that I can use as a base image for a balena-based Python project using the Jetson Nano board. The image should support TensorRT so that we can do hardware-accelerated AI inference at the edge. The latest Dockerfile can be found here: Instructions to build the image can be found in the root of this repository. I am sharing this Dockerfile because I think it may be useful for other …

I’ll try out balenaCloud, although I’m now not quite sure how everything comes together

We have an issue on balena-cli for tracking this: .
You can work around this by downloading an already configured disk image from the dashboard.