![]() Now you are ready to run your first CUDA application in Docker! Run CUDA in Docker Sudo apt-get install nvidia-container-runtime Sudo tee /etc/apt//nvidia-container-runtime.list etc/os-release echo $ID$VERSION_ID)Ĭurl -s -L $distribution/nvidia-container-runtime.list |\ ⚠️ Secure Boot: If you want to install the NVIDIA driver with UEFI Secure Boot enabled, checkout NVIDIA's official guide.ĭistribution=$(. If NVIDIA driver is not pre-installed with your Ubuntu distribution, you can install it with sudo apt install nvidia-XXX (XXX is the version, the newest one is 440) orĭownload the appropriate NVIDIA driver and execute the binary as sudo. | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. Verify the installation with the command nvidia-smi.⚠️ You need to start a new session to update the groups. Sudo apt-get install docker-ce docker-ce-cli containerd.io Docker Community Edition 19.03 or newer (with API v1.40) for built-in NVIDIA support.Ubuntu 14.04 or newer (x86_64), required by NVIDIA container runtime.In this tutorial, we show you how to scale up your CUDA-enabled application with Docker. ![]() ![]() Nowadays, it's almost impossible to find any Machine Learning application that does not run on a NVIDIA GPU. ![]() This short tutorial shows you all the necessary steps to set up Docker on Ubuntu Linux that runs CUDA applications.Ģ4 January 2020, by Boyang Xia Ask a question How to get your CUDA application running in a Docker container ![]()
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