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deploy-nvidia-docker's Introduction

🏠 Home of ThereminQ - QuantOPS ⚛️ a Cloud ☁️ Native Toolbox ⚒️ for Quantum Workloads 👷 and Visualisations 🖼️

ThereminQ 🧭 Teleporting 🌊 Hilbert Space 🌌 QuantOPS ⚒️

notice: upgrading all images to Ubuntu 24.04 CUDA 12.5+ has been halted due to several python dependancy issues - Ubuntu 22.04 with CUDA 12.5 remains the most stable. Both versions are offered by the base images deploy-nvidia-desktop and cudacluster, with 24.04 CUDA 12.5 as default :latest and the 2204 version avaliable under the tags :2204 and :2204dev


All ThereminQ - QuantOPS images are on Dockerhub - alternatively all tags can be build standalone by the dind container image

docker run -ti --privileged [-v /data/registry:/data/registry] --net=host twobombs/twobombs bash buildall.sh [reponame.sh]

After building for a few hours tags are browsable and can be pulled from the local registry

Screenshot from 2024-02-26 21-08-15



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deploy-nvidia-docker's Issues

OpenGL with GPU acceleration?

Hi, it's not explicitly stated, but does your nvidia image is supposed to have OpenGL with GPU acceleration (e.g. glxinfo -B shows this)? If so, could you please point me which steps "do the trick"? I was hoping creating my own image with xfce+xrdp based on cudagl image that it's enough to set Driver Capabilities to all (because graphics is not in defaults), but seems it's not enough. Unfortunately I can't make your container working (can't even log into VNC) and wonder if it's worth to struggle digging why. Thanks,

Regards,

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