Is it restricted to distribute custom tensorRT container?

I was looking at the tensorRT SW license agreement, and there is a clause that I would like to get some clarity on.
https://docs.nvidia.com/deeplearning/sdk/tensorrt-sla/index.html
It says “you agree that you will not (iii) sell, transfer, assign, distribute, rent, loan, lease, sublicense or otherwise make available the Licensed Software…”

Does that mean I can not distribute the customized tensorRT container for my purchased Nvidia devices?
If I use kubernetes framework to deploy my application on the customized tensorRT container, would it be a problem?

Hi,

I’ll have to look into this one. Stay tuned.

Thank you for your help. I am still looking forward to the answer.

Hi,

The answer I just got back was that “distribute” refers directly to this section: https://docs.nvidia.com/deeplearning/sdk/tensorrt-sla/index.html#distribution. Please review this section to make sure you’re following the rules outlined there.

Thank you for the response. But I am still confused. Let assume that I made a ML/DL application included container leveraging tensorRT container(nvcr.io/nvidia/tensorrt:20.01-py3) and want to distribute the container for purchased jetson devices via our own distribution systems and private docker registry. Do you think it would be a SW license issue? The section you mention above, I found “you may further authorize Customers to redistribute the libnvinfer, libnvinfer_plugin, and libnvparsers libraries” but the tensorRT container.

I am wondering about the same thing. Maybe even a bit less private than @hyogrin. I have created a deep learning based algorithm that makes use of TensorRT and I want to make the source code publicly available. Since I want to make it as easy as possible for users to run the code, I plan to build a Singularity image that contains TensorRT. Would I be allowed to distribute such an image?