This repository includes utilities to build and run NVIDIA Docker images.
See samples/ for a list of Dockerfile examples.
Please be aware that this project is currently experimental.

Images can be built on any machine running Docker, it doesn't require a NVIDIA GPU nor any driver installation.

Building images is done through the Docker CLI or using the nvidia-docker wrapper similarly:

# With latest versions
$ docker build -t cuda ubuntu/cuda/latest

# With specific versions
$ docker build -t cuda:7.5 ubuntu-14.04/cuda/7.5

Alternatively, one can build an image directly from this repository:

# With latest versions
$ docker build -t cuda github.com/NVIDIA/nvidia-docker#:ubuntu/cuda/latest

# With specific versions
$ docker build -t cuda:7.5 github.com/NVIDIA/nvidia-docker#:ubuntu-14.04/cuda/7.5

The nvidia-docker script is a drop-in replacement for docker CLI. In addition, it takes care of setting up the NVIDIA host driver environment inside Docker containers for proper execution.

GPUs are exported through a list of comma-separated IDs using the environment variable GPU. The numbering is the same as reported by nvidia-smi or when running CUDA code with CUDA_DEVICE_ORDER=PCI_BUS_ID, it is however different from the default CUDA ordering.

$ GPU=0,1 ./nvidia-docker <docker-options> <docker-command> <docker-args>

Running a CUDA container requires a machine with at least one CUDA-capable GPU and a driver compatible with the CUDA toolkit version you are using.

NVIDIA drivers are backward-compatible with CUDA toolkits versions:

Once you have built the required images, a few examples are provided in the folder samples.
The following assumes that you have an image in your repository named cuda (see samples/deviceQuery/Dockerfile):

# Run deviceQuery with one selected GPU
$ docker build -t device_query samples/deviceQuery
$ GPU=0 ./nvidia-docker run device_query

[ NVIDIA ] =INFO= Driver version: 352.39
[ NVIDIA ] =INFO= CUDA image version: 7.5

./deviceQuery Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 980"
  [...]

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.5, CUDA Runtime Version = 7.5, NumDevs = 1, Device0 = GeForce GTX 980
Result = PASS

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