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nvidia-docker/README.md
Renaud Gaubert 445b308a45 Relicense to Apache2 
Signed-off-by: Renaud Gaubert <rgaubert@nvidia.com>
2019-08-14 16:41:01 -07:00

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NVIDIA Container Toolkit

GitHub license Documentation Package repository

nvidia-gpu-docker

Introduction

The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Full documentation and frequently asked questions are available on the repository wiki.

Quickstart

Make sure you have installed the NVIDIA driver and Docker 19.03 for your Linux distribution

Note that with the release of Docker 19.03, usage of nvidia-docker2 packages are deprecated since NVIDIA GPUs are now natively supported as devices in the Docker runtime. If you are an existing user of the nvidia-docker2 packages, review the instructions in the “Upgrading with nvidia-docker2” section.

For first-time users of Docker 19.03 and GPUs, continue with the instructions for getting started below.

Ubuntu 16.04/18.04, Debian Jessie/Stretch

# Add the package repositories
$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
$ curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
$ 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 && sudo apt-get install -y nvidia-container-toolkit
$ sudo systemctl restart docker

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

$ 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

$ sudo yum install -y nvidia-container-toolkit
$ sudo systemctl restart docker

Usage

#### Test nvidia-smi with the latest official CUDA image
$ docker run --gpus all nvidia/cuda:9.0-base nvidia-smi

# Start a GPU enabled container on two GPUs
$ docker run --gpus 2 nvidia/cuda:9.0-base nvidia-smi

# Starting a GPU enabled container on specific GPUs
$ docker run --gpus '"device=1,2"' nvidia/cuda:9.0-base nvidia-smi
$ docker run --gpus '"device=UUID-ABCDEF,1'" nvidia/cuda:9.0-base nvidia-smi

# Specifying a capability (graphics, compute, ...) for my container
# Note this is rarely if ever used this way
$ docker run --gpus all,capabilities=utility nvidia/cuda:9.0-base nvidia-smi

Upgrading with nvidia-docker2 (Deprecated)

If you are running an old version of docker (< 19.03) check the instructions on installing the nvidia-docker2 package which supports Docker >= 1.12. If you already have the old package installed (nvidia-docker2), updating to the latest Docker version (>= 19.03) will still work and will give you access to the new CLI options for supporting GPUs:

# On debian based distributions: Ubuntu / Debian
$ sudo apt-get update
$ sudo apt-get --only-upgrade install docker-ce nvidia-docker2
$ sudo systemctl restart docker

# On RPM based distributions: Centos / RHEL / Amazon Linux
$ sudo yum upgrade -y nvidia-docker2
$ sudo systemctl restart docker

# All of the following options will continue working
$ docker run --gpus all nvidia/cuda:9.0-base nvidia-smi
$ docker run --runtime nvidia nvidia/cuda:9.0-base nvidia-smi
$ nvidia-docker run nvidia/cuda:9.0-base nvidia-smi

Note that in the future, nvidia-docker2 packages will no longer be supported.

Issues and Contributing

Checkout the Contributing document!