allandieguez / nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

NVIDIA Container Runtime for Docker

Documentation

The full documentation and frequently asked questions are available on the repository wiki.

Quickstart

Make sure you have installed the NVIDIA driver and a supported version of Docker for your distribution (see prerequisites).

If you have a custom /etc/docker/daemon.json, the nvidia-docker2 package might override it.

Ubuntu 14.04/16.04/18.04, Debian Jessie/Stretch

# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containers
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo apt-get purge -y nvidia-docker

# Add the package repositories
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
  sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update

# Install nvidia-docker2 and reload the Docker daemon configuration
sudo apt-get install -y nvidia-docker2
sudo pkill -SIGHUP dockerd

# Test nvidia-smi with the latest official CUDA image
docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi

CentOS 7 (docker-ce), RHEL 7.4/7.5 (docker-ce), Amazon Linux 1/2

If you are not using the official docker-ce package on CentOS/RHEL, use the next section.

# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containers
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo yum remove nvidia-docker

# Add the package repositories
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.repo | \
  sudo tee /etc/yum.repos.d/nvidia-docker.repo

# Install nvidia-docker2 and reload the Docker daemon configuration
sudo yum install -y nvidia-docker2
sudo pkill -SIGHUP dockerd

# Test nvidia-smi with the latest official CUDA image
docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi

If yum reports a conflict on /etc/docker/daemon.json with the docker package, you need to use the next section instead.

CentOS 7 (docker), RHEL 7.4/7.5 (docker)

# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containers
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo yum remove nvidia-docker

# Add the package repositories
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-container-runtime/$distribution/nvidia-container-runtime.repo | \
  sudo tee /etc/yum.repos.d/nvidia-container-runtime.repo

# Install the nvidia runtime hook
sudo yum install -y nvidia-container-runtime-hook
sudo mkdir -p /usr/libexec/oci/hooks.d
echo -e '#!/bin/sh\nPATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin" exec nvidia-container-runtime-hook "$@"' | \
  sudo tee /usr/libexec/oci/hooks.d/nvidia
sudo chmod +x /usr/libexec/oci/hooks.d/nvidia

# Test nvidia-smi with the latest official CUDA image
# You can't use `--runtime=nvidia` with this setup.
docker run --rm nvidia/cuda nvidia-smi

For ppc64le, look at the FAQ.

Other distributions and architectures

Look at the Installation section of the wiki.

Issues and Contributing

A signed copy of the Contributor License Agreement needs to be provided to [email protected] before any change can be accepted.

• Please let us know by filing a new issue
• You can contribute by opening a pull request