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+[![Build Status](https://travis-ci.org/CSCfi/ansible-role-cuda.svg)](https://travis-ci.org/CSCfi/ansible-role-cuda)
+[![Galaxy Role](https://img.shields.io/badge/ansible--galaxy-cuda-blue.svg)](https://galaxy.ansible.com/CSCfi/cuda/)
+
+ansible-role-cuda
+=========
+
+Installs CUDA
+
+Tested with Tesla P100, K80, Tesla M40, CentOS7, Ubuntu 16.04, Cuda 7.5 and 8.0
+
+Optionally also installs cuda_init which initializes the GPUs during boot.
+
+Requirements
+------------
+
+Outbound access to http://developer.download.nvidia.com/compute/cuda/repos/
+
+Role Variables
+--------------
+
+    gpu: False
+    cuda_packages:
+     - cuda
+    cuda_restart_node_on_install: True
+    cuda_init: True
+    cuda_bash_profile: True
+
+- gpu: True is needed. Without it this role does nothing.
+- cuda_packages: List that can be updated to include more packages that are installed after nvidia cuda repo is installed, or to a specific cuda package (e.g. `cuda-7-5`)
+- cuda_init: Installs a bash script that is executed via systemd
+- cuda_gpu_name0: "/dev/nvidia0" # set this to the device ansible looks for. If it does not exist then if cuda_init is True then it will run the cuda_init.sh script
+- cuda_restart_node_on_install: restarts the system when packages are installed or updated
+
+
+Example Playbook
+----------------
+
+`playbook.yml`:
+
+    - hosts: deep_learning
+      roles:
+        - CSC-IT-Center-for-Science.cuda
+
+`inventory`:
+
+    [deep_learning]
+    host1.example gpu=True
+
+Example Errors
+--------------
+
+This error means you are not using a supported OS (like Ubuntu 17.04 which does not have a cuda URL)
+<pre>
+   "msg": "No file was found when using with_first_found. Use the 'skip: true' option to allow this task to be skipped if no files are found"
+</pre>
+
+License
+-------
+
+MIT
+
+Author Information
+------------------
+