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Tutorial : Installing CUDA 8 on Ubuntu 16
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Introduction
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CUDA is a parallel computing platform and programming model that makes using a GPU for general purpose computing simple and elegant. The developer still programs in the familiar C, C++, Fortran, or an ever expanding list of supported languages, and incorporates extensions of these languages in the form of a few basic keywords.

These keywords let the developer express massive amounts of parallelism and direct the compiler to the portion of the application that maps to the GPU.

Below is the steps to perform installation of cuda8 & cuDNN 7.1.4 on ubuntu16 by removing latest nvidia packages on new instance

Installation Steps
==================
Perform system update and upgrade
---------------------------------

::

        apt update
	apt upgrade
	reboot

Remove the existing installed Cuda Packages
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::
	
        apt remove cuda-*
	apt autoremove

Install Nvidia driver which supports Tesla v100
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::
	
        wget http://us.download.nvidia.com/tesla/440.33.01/NVIDIA-Linux-x86_64-440.33.01.run
	chmod +x NVIDIA-Linux-x86_64-440.33.01.run
	./NVIDIA-Linux-x86_64-440.33.01.run

To check nvidia driver output
-----------------------------
::

        nvidia-smi

ignore cuda version which is seen in this output

Install Cuda8 debian packages
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::

        wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64-deb
	dpkg -i cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64-deb
	apt-get update
	apt-get install cuda-8.0

Install patch update for Cuda8
------------------------------
::

        wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/patches/2/cuda-repo-ubuntu1604-8-0-local-cublas-performance-update_8.0.61-1_amd64-deb
        dpkg -i cuda-r	epo-ubuntu1604-8-0-local-cublas-performance-update_8.0.61-1_amd64-deb

Reboot the system
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::

        reboot

To check Cuda version
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::	

        nvcc --version

To Install cuDNN version 7.1.4 for Cuda
---------------------------------------

Download three packages for ubuntu 16 from archive `cudnn directory <https://developer.nvidia.com/rdp/cudnn-archive>`_

Installation and verification steps available `here <https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#installlinux-deb>`_