I get a Jetson Nano module from my industrial computer supplier (adxxxxxxh) , Everything go well when I run my program in docker in a CPU environment. However, When I want to use cuda , I find some expected problem before I trying.
The free space of the computer I got is only about 7GB left (with os installed, but cuda is not yet installed ), and the cuda in sdk manager are about 4GB, and the docker cuda based image which Nvidia provided is about 2GB, that means I have nearly no space left to put my application program in.
I ask my supplier if they can level up the eMMC to 32GB but the supplier says according to the nvidia’s Jetson nano SoM, they can do nothing to change the eMMC.
Since cuda is almost the essential part to run the Jetson and put the program to the docker image is the recommend way to do the work. How do you guy actually put them together into the limited storage space?