Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
• DeepStream Version
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
The instructions for running Deepstream containers in Docker goes something like this:
docker run --gpus all -it --rm --net=host --privileged -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -w /opt/nvidia/deepstream/deepstream-6.1 nvcr.io/nvidia/deepstream:6.1-devel
Are there any instructions available for how to run this in Kubernetes, preferably via Helm? I know passing in things like volume mounts is pretty straight forward in Helm, but at least one of the
docker run options doesn’t seem to be, namely
--gpus which comes from an Nvidia package. (I’m pretty sure “privileged” and “net” translate fairly well). That said, I’d much prefer to use a more “official” Helm chart if one exists.
Thanks in advance.