Move the NVML steps to be common between RH and Ubuntu for GPU

based on Xiao Pengs review comments

docs/source/advanced/gpu/nvidia/osimage/ubuntu.rst

@@ -144,15 +144,3 @@ cudaruntime
     packimage ubuntu14.04.3-ppc64el-netboot-cudaruntime
 
 
-Install NVIDIA Management Library (optional)
---------------------------------------------
-
-See https://developer.nvidia.com/nvidia-management-library-nvml for more information.
-
-The .run file can be downloaded from NVIDIAs website and placed into the ``/install/postscripts`` directory on the Management Node. 
-
-To enable installation of the management library after the node is install, add the runfile to the ``postbootscripts`` attribute for the nodes: :: 
-
-   chmod +x /install/postscripts/<gpu_deployment_kit>.run
-   chdef -t node -o <noderange> -p postbootscripts=<gpu_deployment_kit>.run \
-   --silent --installdir=<your_desired_install_dir>

docs/source/advanced/gpu/nvidia/repo/index.rst

@@ -10,3 +10,5 @@ Download the toolkit and prepare the software repository on the xCAT Management
 
    rhels.rst
    ubuntu.rst
+   nvml.rst
+

docs/source/advanced/gpu/nvidia/repo/ubuntu.rst

@@ -3,7 +3,7 @@ Ubuntu 14.04.3
 
 NVIDIA supports two types of debian repositories that can be used to install Cuda Toolkit: **local** and **network**.  You can download the installers from https://developer.nvidia.com/cuda-downloads.
 
-local
+Local
 -----
 
 A local package repo will contain all of the cuda packages.  
@@ -17,7 +17,7 @@ Extract the cuda packages into ``/install/cuda-repo/ppc64le``: ::
     dpkg -x /root/cuda-repo-ubuntu1404-7-5-local_7.5-18_ppc64el.deb /install/cuda-repo/ppc64le
     
 
-network
+Network
 -------
 
 The online package repo provides a source list entry pointing to a URL containing the CUDA packages.  This can be used directly on the Compute Nodes.