I am currently working on a Google Cloud environment with a Tesla T4 GPU type. I need to install an NVIDIA driver with it (which I did using the .run file). I downloaded the NVIDIA-Linux-x86_64-515.43.04.run file from the NVIDIA website. I also needed the CUDA Toolkit installer which I also downloaded as a .deb file into my Google Cloud instance (cuda-repo-debian11-11-7-local_11.7.0-515.43.04-1_amd64.deb).
I followed these instructions to finish installing CUDA: https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Debian&target_version=11&target_type=deb_local. I also tried to follow these pre and post-installation steps to set up the driver: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#package-manager-overview.
I get some weird errors. For example when I run the nvidia-smi command in the Cloud cl I get this error: NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. I am confused since I'm pretty sure I downloaded the latest version.
I am a noob in python and GPU related things so I don't really know what I'm doing. Can someone help me install the NVIDIA driver onto my Google Cloud instance? Thanks!!
Related
I want to use tensorflow on aws g5.xlarge. For AMI, I used AWS Deep Learning AMI (Ubuntu 18.04) ver 50.0. But when I start the instance and try nvidia-smi, the following error exists. Why am I getting the following error even though I used deep learning ami?
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.
I created one google cloud vm with GPU. The GPU was working after instance created.
But after restarting the vm, the GPU was gone.
I ran nvidia-smi and got this error:
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.
Who knows how to fix it? Thanks
I have followed this GCP guide with Ubuntu 18 and 20 (have also tried Ubuntu Lite, Debian and Centos 7) but, unfortunately, after completing the lengthy install I get this:
me#gpu:~$ 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
I have tried installing via the script and via the direct downloads from the Nvidia site for Cuda 10. Ready to pull my hair out if that helps! I don't understand how a company that builds a bazillion GPU's can't make the installation process robust?
I have also tried these recommendations with no luck.
I was able to get it working. The mistake I was making was not doing the pre-installation steps before running the cuda_10.1.243_418.87.00_linux.run script. I was under the impression the *.run file would do everything for me. It would help if users were told they MUST do the pre-installation steps. Specifically I had to do this for Ubuntu 18:
sudo nano /etc/modprobe.d/blacklist-nouveau.conf
blacklist nouveau
options nouveau modeset=0
sudo update-initramfs -u
reboot
This seems like a bit of a “hack”, so not sure why nvidia can’t make the installation process more robust? They make a bazillion of these cards. It’s not like some homemade product with a niche user base…
If you've installed the driver so many times and nvidia-smi is still failing to communicate, take a look into prime-select.
Run prime-select query, this way you are going to get all possible options, it should show at least nvidia | intel.
Select prime-select nvidia.
Then, if you see nvidia is already selected, choose a different one, e.g. prime-select intel. Next, switch back to nvidia prime-select nvidia
Reboot and check nvidia-smi.
Plus, it could be a good idea to run again:
sudo apt install nvidia-cuda-toolkit
When it finishes, reboot the machine, and nvidia-smi should work then.
Now, in other cases it works to follow these instructions to install CuDNn and Cuda on VMs cuda_11.2_installation_on_Ubuntu_20.04.
And finally, in some other cases it is caused by unattended-upgrades. Take a look into the settings and adjust them if it is causing unexpected results. This URL has the documentation for Debian, and I was able to see that you already tested with that distro UnattendedUpgrades.
I'm trying to set up a Raspbian image in VirtualBox 6.1.14 for development. I downloaded the latest .iso from the RPi website, and set up a VirtualBox machine with the OS set to Debian (32-bit). When I mount the .iso and start the machine, I'm able to get through all the installation steps until it gets to the point of configuring the package manager--at that point it freezes in both the text installer and the GUI installer.
I've tried doing this with the network adapter enabled and disabled, which made no difference. Is there a specific configuration to the VM that will get the installation to work?
I am a dum dum. I needed to up the memory on the VM. Below are the pertinent stats for it to work.
OS: Debian (32-bit)
Base Memory: 1024mb
Video Memory: 128mb
Graphics Controller: VMSVGA
Storage: 8gb
When I run a pytorch model on a google virtual machine using:
model.cuda()
I get this error:
AssertionError:
Found no NVIDIA driver on your system. Please check that you
have an NVIDIA GPU and installed a driver from
http://www.nvidia.com/Download/index.aspx
As of 2020-05-01, GCP default machines run 9.12. So it's hard to use the default repository :
ppa:graphics-drivers
I recommend just downloading the driver yourself and installing it :
wget http://us.download.nvidia.com/XFree86/Linux-x86_64/440.82/NVIDIA-Linux-x86_64-440.82.run
Then run it in sudo mode :
sudo bash NVIDIA-Linux-x86_64-440.82.run
Accept everything and you should be okay to use your GPU