# Suggestion to solve Tegra Nvidia-docker issues

**URL:** <https://forums.developer.nvidia.com/t/suggestion-to-solve-tegra-nvidia-docker-issues/117522>\
**Category:** Jetson Nano\
**Tags:** docker, cuda\
**Created:** [March 28, 2020, 6:44pm UTC](https://forums.developer.nvidia.com/t/suggestion-to-solve-tegra-nvidia-docker-issues/117522 "2020-03-28T18:44:07Z")\
**Posts on this page:** 1\
**Showing post:** 11

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**Author:** ![dusty\_nv](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/dusty_nv/32/14043_2.png) [@dusty\_nv](https://forums.developer.nvidia.com/u/dusty_nv)\
**Post date:** [April 15, 2020, 7:02pm UTC](https://forums.developer.nvidia.com/t/suggestion-to-solve-tegra-nvidia-docker-issues/117522/11 "2020-04-15T19:02:33Z")

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OK, given you are stuck here and I’m not sure why it isn’t mounting the CSV’s, what if you added `"default-runtime": "nvidia"` to your `/etc/docker/daemon.json` file. If you go back to using l4t-base, when you `docker build` the the nvidia runtime will be used. I do this for example when I need to run TensorRT engine generation during the docker build.

BTW I have also used this project to build a new base image before, when I needed to install CUDA inside the container: [https://github.com/jetsistant/docker-cuda-jetpack](https://github.com/jetsistant/docker-cuda-jetpack)

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