For jetsons, the container prepared for working with cuda+cudnn+tensorRT is nvcr.io/nvidia/l4t-base:r32.6.1. But “NVIDIA container runtime into the l4t-base container from the underlying host, thereby providing necessary dependencies for l4t applications to execute within the container.” . That means the container is CUDA agnostic, it trust in the cuda versions I’ve got at the host and it just copy them. But…
What happens if I want to develop with another cuda version, or even having different cuda containers with different versions at each one of them?
Then I’ve seen others like nvcr.io/nvidia/cuda:11.4.2-devel-ubuntu20.04 which are specific, and they are what I am looking for, but, are they compatible with jetsons? If not, can this problem be solved with any workaround?