Install NVidia GeForce GTX card for Deep Learning GPU computing

The following steps are good only if the NVIdia card is used for GPU acceleration computing only, not for display. My machine has 2 graphic cards: a Rodeon ATI (not built-in) for display and the NVIdia GForce for computing. Before starting, make sure to save all your work.

1. Download the driver from NVIdia website.
Make note of the directory where the file is saved (usually it is in the folder Downloads/)

2. Get into the text-only console (TTY)
"CTRL" + "ALT" + "F1"

3. Enter login and password

4. kill the current X-server session
sudo service lightdm stop

5. Optional: purge all NVidia drivers (there is no need to do that but in case you want a fresh start)
sudo apt-get purge nvidia-

6. Enter runlevel 3
sudo init 3

7 Run the install
Go to the directory where the file NVIDIA∗.run file is saved. If you have 1 install file, type:

sudo sh NVI*.run --no-opengl-files

Otherwise, replace NVI∗.run by the full name of the file.

It is important to include the option no-opengl--files in the command. If it is not included, the install would overwrite the opengl files used by the Graphic Card for Display. And you would end up with a machine stucked into a login loop.

**8. If some error messages prompt up, dismiss them **

9. Do not update Xconfig
You will be asked if you wish to update Xconfig: select NO. If you choose YES, the NVIdia Card will take over the display work and that will create conflicts with the other graphic card.

10. Start X-server session
sudo service lightdm start

11. Exit the TTY mode with
"CTRL" + "ALT" + "F7"

Voila, you are all set with the installation of the driver!

The next and final step is to make sure that TensorFlow detects the GPU. Here is a short script:

The script calculates the matrix multiplication: , where a is a (2,1) and b is a (1,2) matrix.

If the GPU is detected by TF, you should see something like this: