are there limitations on using nvidia-docker

Autonomous Machines Jetson & Embedded Systems Jetson Nano
#1

Can i install nvidia docker to pull some prebuilt containers from the nvidia gpu cloud? Can i install nvidia-docker as described here: https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0)?

Problem is that I cannot figure out which nvidia driver i am using or which version of CUDA.

$nvidia-smi
bash: nvidia-smi: command not found

$nvcc -V
gives nothing

$cat /proc/driver/nvidia/version
bash: nvidia-smi: command not found

#2

I would say no on using the prebuilt containers. These are for x86_64 images. You can tell by the first item in the “Prerequisites” section. The Nano uses Arm.

#3

there are some containers prebuilt for arm64. Docker hub allows filtering by architecture. And I CAN run THOSE containers - for example

docker run -it openhorizon/aarch64-tx2-nvidia-caffe:jetpack3.3 bash

however even tho this runs on the nano and gives me a shell, the command nvidia-smi or nvcc do not work for me.

#4

Hi,

nvidia-docker and nvidia-smi doesn’t support Jetson platform.

But you still can use the official docker on Nano:
https://github.com/Technica-Corporation/Tegra-Docker

Thanks.

#5