The command to add graphics-drivers ppa is: This is well maintained and you will be able to get the latest driver I learnt this approach by reading the excellent post of Dr Donald Kinghorn which gives the clues to solve my issue : įirstly, you need to install the last proprietary NVIDIA display driver by adding the the graphics driver ppa repository on the apt Ubuntu repository. Installing a nvidia driver on Lubuntu 18.04 (version light of Ubuntu 18.04) is not simple and you need to structurally proceed. I see on the driver page a new driver (version 396,54 which was released the ). It seems that today the situation has changed.
Furthermore, when I made this exercise, NVIDIA has released a new package which was not compatible with the version of the driver (396 instead of 390). In July 2018, Ubuntu version 18.04 doesn’t provide a driver which is compatible with the version 9.2 of CUDA. The objective of this post is the installation of the proprietary driver of NVIDIA which is compatible with CUDA 9.2 In this context, I use Python 3 and the high level neural network Keras with Tensorflow as backend. In the preview post, “How to use GPU of MX150 with Tensorflow 1.8 CUDA 9.2 (Introduction)”, I expressed my interest in using the CUDA cores of my graphical card (MX150) for the acceleration of the calculation of the DNN.
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