Nano runs out of space when installing TensorFlow

Hi NVIDIA team, I’m trying to install TensorFlow on my Nano according to this guide you’ve published. However, when I finish running those commands, the Nano runs out of space - I cannot download anything else (no more packages, no other files), and the Nano will not boot again.

I’ve run these commands on a fresh install, so it is these packages that are taking up so much space. Any way to fix this problem and be able to run code that uses TensorFlow on my Nano?


  • Jetpack 4.6 (flashed with most recent image today)
  • Jetson Nano B01
  • 16 GB SD card (extending the partition as here is not an option)

Additional information:

alexa@alexa-nano:~/hardware-module$ lsblk -f /dev/mmcblk0 
NAME         FSTYPE LABEL UUID                                 MOUNTPOINT 
├─mmcblk0p1  ext4         b1c100cd-cc74-4e7f-acb8-f0d34c931ee8 / 
alexa@alexa-nano:~/hardware-module$ df -h 
Filesystem      Size  Used Avail Use% Mounted on 
/dev/mmcblk0p1   15G   14G  546M  97% / 
none            1.7G     0  1.7G   0% /dev 
tmpfs           2.0G   12M  2.0G   1% /dev/shm 
tmpfs           2.0G   30M  2.0G   2% /run 
tmpfs           5.0M  4.0K  5.0M   1% /run/lock 
tmpfs           2.0G     0  2.0G   0% /sys/fs/cgroup 
tmpfs           396M     0  396M   0% /run/user/0 
tmpfs           396M   20K  396M   1% /run/user/120 
tmpfs           396M  148K  396M   1% /run/user/1000 

hi jakob,

Could you please try working using 32 or 64 gb Sd card if you have more work load, let us know whether again you are facing the booting up issue

Thank you


Do you only need TensorFlow on Nano?

If yes, you can flash the Nano with SDK manager and install the components manually.
So you don’t need to install all the packages, ex. VPI, MMAPI, …, etc.

Below is an example of Deepstream for your reference:


1 Like

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.