[on hold] EKS based Ubuntu Desktop + NiceDCV using Kubectl port forwarding about autonomous-driving-data-framework

[srinivasreddych]

Hello @a13zen Can you please add more information to the description of an issue, so it will be easy to do some research?

[dgraeber]

I ran into significant issues getting the combination of Ubuntu image with NVIDIA and OpenGL installed with the desktop and running with virtual NiceDCV sessions (console sessions not supported with GPU). I will need a proper image (Dockerfile) with the following defined to move forward:

• Ubuntu 20.04 Server with ubuntu-desktop
• NiceDCV with GL support and Virtual Sessions configured to use the Xserver
• proper NVIDIA toolkit installed that marries the Xsrver and OpenGL functionality

We have aligned the deployment on a GPU compute instance in EKS, but the ran into issues as denoted above.

[JunjieTang-D1]

Do we have some update to create the proper dockerfile?

[dgraeber]

We will need support to create a docker image with the following:
Support for Ubuntu 20.04 Desktop running on GPU to leverage OpenGL. The image should leverage nicedcv over virtual sessions (not console) in order to take advantage of the GPU. We have vetted the support to create GPU compute resources with proper labeling for isolation (Fargate does not support EKS GPU nodes).

NOTE: we have the ability to run FoxGlove in its own pod, but the need to run RViz with ROS seems to be the driver for this need.

[dgraeber]

Reference this for an image: https://www.ni-sp.com/nice-dcv-in-containers/

[JunjieTang-D1]

WIll the re:Invent pull request solve this issue? @dgraeber @a13zen

[a13zen]

No, that was using EC2, this is for EKS based solution. We have de-prioritized this until after the next release.

[dgraeber]

As it stands now, getting Ubuntu 20.04 to work with OpenGL and GPU with the desktop and NiceDCV virtual sessions has been challenging. Centos seems to work via the links above. But, ROS needs Ubuntu to run. We need to revisit this.

[qvacua]

• We need someone who can provide or create an Ubuntu image which can leverage the GPU or we have to invest research time.
• We should also think about whether we really need this

[qvacua]

Will be re-opened when relevant again.