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nvidia-anaconda-docker

Docker container for running JUPYTER Notebook within an ANACONDA nvironment, exploiting NVIDIA-DOCKER for GPUs The ANACONDA environment is also provided with:

  1. tensorflow-gpu (latest version, 1.6.0 when buildt)
  2. keras
  3. tensorboard jupyter extension

Requirements

  1. NVIDIA driver (cuda-drivers, not whole cuda!) for your GPU
  2. nvidia-docker installed
  3. DOCKER

Building Dockerfile

docker build -t nvidia-anaconda-docker <PATH_TO_DOCKERFILE_ROOT_PATH>

Running container

nvidia-docker run -v <HOST_NOTEBOOK_DIR>:/tmp -p 8888:8888 nvidia-anaconda-docker

From Dockerhub image

nvidia-docker run -v <HOST_NOTEBOOK_DIR>:/tmp -p 8888:8888 luke035/nvidia-anaconda-docker

Notes

Buildt image requires approximately 5GB of disk space.

Acknowledgments

  1. Nvidia docker
  2. Tensorflow GPU Docker
  3. Anaconda
  4. Jupyter tensorboard