Installed CUDA 10.0 from https://developer.nvidia.com/cuda-10.0-download-archive and then following the instructions from https://docs.nvidia.com/cuda/archive/10.0/cuda-installation-guide-linux/index.html. In terminal, this is what happens
>>>nvidia-smi NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.
Tensorflow (https://www.tensorflow.org/install/gpu) recommends using that.
WHAT I’VE TRIED:
I’ve actually done ubuntu-drivers auto-install and it installs the nvidia-430 drivers. This gets the nvidia-smi command to work but the problem is it conflicts with what
https://docs.nvidia.com/cuda/archive/10.0/cuda-installation-guide-linux/index.html which is that we shouldn’t install any other nvidia stuff from anywhere else other than the official cuda toolkit.
I’ve reinstalled Ubuntu 18.04 to try again. The question is should I just do ubuntu-drivers autoinstall and break my installation or is there a more proper way to do this?
RELEVANT TERMINAL OUTPUTS:
>>>inxi -Gx Graphics: Card: NVIDIA GV104 [GeForce GTX 1180] bus-ID: 01:00.0 Display Server: x11 (X.Org 1.19.6 ) driver: (unloaded: modesetting) Resolution: email@example.com, firstname.lastname@example.org OpenGL: renderer: llvmpipe (LLVM 8.0, 256 bits) version: 3.3 Mesa 19.0.8 Direct Render: Yes
>>> dpkg -l | grep nvidia ... ii nvidia-driver-410 410.48-0ubuntu1 amd64 NVIDIA driver metapackage ...
I’m guessing that despite installing CUDA toolkit 10.0, the nvidia-driver-410 is not loaded?
nvidia-bug-report.gz (56.8 KB)