Category : nvidia-docker

Docker daemon.json change the default runtime to nvidia and add the following. { "default-runtime": "nvidia", "runtimes": { "nvidia": { "path": "/usr/bin/nvidia-container-runtime", "runtimeArgs": [] } }, } This will include gpu information in the docker that is started by default. Will this approach interfere with dockers that don’t need to run with gpu? Will gpu information ..

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I am trying to install Jarvis using this instructions: https://ngc.nvidia.com/catalog/collections/nvidia:jarvis . Unfortunately when I run jarvis_init.sh I get following error: docker: Error response from daemon: OCI runtime create failed: container_linux.go:367: starting container process caused: process_linux.go:495: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: driver error: ..

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I’m trying to run this deep learn algorithm https://github.com/albarji/neural-style-docker that’s containerized in docker pushing the image on minikube, I understand that Docker isolate the container from the machine so you can’t use your GPU, that’s why you use nvidia-docker but I’m not sure if you can run nvdia-docker in minikube and I don’t know how ..

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Description of the issue Context information (for bug reports) Output of docker-compose version docker-compose version 1.17.1, build unknown docker-py version: 2.5.1 CPython version: 2.7.17 OpenSSL version: OpenSSL 1.1.1 11 Sep 2018 Output of docker version Client: Version: 19.03.6 API version: 1.40 Go version: go1.12.17 Git commit: 369ce74a3c Built: Fri Dec 18 12:21:44 2020 OS/Arch: linux/amd64 ..

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So long story short: I had a working docker image where i could show graphical things through the Xserver. I tested it multiple times and everything seemed to work flawlessly. However after installing Nvidia and CUDA i started getting this error: Error setting socket option (IP_ADD_MEMBERSHIP). Error setting socket option (IP_ADD_MEMBERSHIP). libGL error: No matching ..

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I have two servers, with environments one NVIDIA-SMI 440.33.01 Driver Version: 440.33.01 CUDA Version: 10.2 and another NVIDIA-SMI 455.45.01 Driver Version: 455.45.01 CUDA Version: 11.1 I installed docker, nvidia-docker and deepo (GPU version). Now let’s run a docker container shell: docker run -it –gpus all deepo bash. In the shell, nvidia-smi returns the correct info, ..

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