On 09/20/2018 07:04 AM, Alessandro Baggi wrote: > Hi all, > I'm running C7 on i7 8700k/asus z370-a with an GTX1050. > I noticed that there are several problems installing Nvidia proprietary > driver. After one week of troubleshooting I got my solution. Hope that > can help other user. > ... > I tried using proprietary driver from nvidia site and from elrepo. NVIDIA actually releases their drivers in official RPM format for RHEL/CentOS. Much easier/faster to use and update than their shell script driver. They are in NVIDIA's cuda repo. You can install the repo files from here: https://developer.nvidia.com/cuda-downloads Choose "rpm (network)" for the last step to get to the yum repo. I use cuda but I think you can just install nvidia-kmod to get the driver only. A minor problem is that one cuda version and repo are only maintained for about half a year, then NVIDIA moves to next version. If you always want the latest NVIDIA driver, you might need to change the cuda repo URL to point to the latest every year. I only upgrade when TensorFlow supports a new version of CUDA. This may not solve your specific problem. I just think that there's no reason to going back to use NVIDIA's clumsy .run driver or any 3rd party driver when the official RPMs are easy to use/update. -- Yan Li