Ubuntu PyTorch CUDA with KDE Plasma Desktop & VNC. Ideal for LLM & Deep Learning remote work.
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Ideal for LLM & Deep Learning remote work.

5900)--no-sandbox flag)Pytorch tag as per their official documentation:
latestVNC_PASSWORD: Password for VNC connection. Default: password.VNC_SCREEN_SIZE: Screen size. Default: 1920x1080.To connect to the container's desktop, you can use any VNC client.
Note
You will have a wide list of errors during startup but you can ignore them. Enulating a full X server in Docker is not an easy task.
Your server will be ready once you see this line in the logs:
[...]
cuda-desktop-server | Plasma Shell startup completed
[...]
Note
You can create and attach a Storage Network Volume to your RunPod pod to automatically sync and persist your `/home/ubuntu` directory between deployments.
When deploying your container, you can also attach a shared storage as a volume for backup.
Simply mount your desired backup directory to /volumes/home_ubuntu_backup in your Docker run command
or Docker composer file. It will be automatically retored (on subsequent boots) and then synced each minute.
Content type
Image
Digest
sha256:acb56a02e…
Size
11.5 GB
Last updated
almost 3 years ago
docker pull ivangabriele/cuda-desktop