Ubuntu Installation
Deb packages for major releases (i.e. v3.0 and v4.0 but not v3.1) are provided for easy installation on Ubuntu 14.04 and 16.04. If these packages don't meet your needs, then you can follow these instructions to build DIGITS and its dependencies from source.
Prerequisites
You need an NVIDIA driver (details and instructions).
Run the following commands to get access to some package repositories:
# For Ubuntu 14.04
CUDA_REPO_PKG=http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_8.0.61-1_amd64.deb
ML_REPO_PKG=http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1404/x86_64/nvidia-machine-learning-repo-ubuntu1404_4.0-2_amd64.deb
# For Ubuntu 16.04
CUDA_REPO_PKG=http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
ML_REPO_PKG=http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb
# Install repo packages
wget "$CUDA_REPO_PKG" -O /tmp/cuda-repo.deb && sudo dpkg -i /tmp/cuda-repo.deb && rm -f /tmp/cuda-repo.deb
wget "$ML_REPO_PKG" -O /tmp/ml-repo.deb && sudo dpkg -i /tmp/ml-repo.deb && rm -f /tmp/ml-repo.deb
# Download new list of packages
sudo apt-get update
Installation
Now that you have access to all the packages you need, installation is simple.
sudo apt-get install digits
Through package dependency chains, this installs digits, caffe-nv, torch7-nv, libcudnn and many more packages for you automatically.
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