Matlab throws and error while using gpuDevice. It asks for CUDA driver newer than 10.1. I have 10.2 installed.

43 views (last 30 days)
If I run the command gpuDevice, I get the following error,"Error using gpuDevice (line 26)
CUDA driver version 9 is not supported. Update CUDA driver to version 10.1 or greater. For more information on GPU support,
see GPU Support by Release."
I am positive that I have installed CUDA driver 10.2.

Accepted Answer

Jason Ross
Jason Ross on 12 Feb 2020
If you run nvidia-smi it will tell you the driver version you are running. On Linux it should be on the path, on Windows it's in "C:\Program Files\Nvidia corporation\nvsmi\nvidia-smi.exe"
Output will look something like the following:
| NVIDIA-SMI 440.33.01 Driver Version: 440.33.01 CUDA Version: 10.2 |
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| 0 Tesla K80 Off | 00000000:04:00.0 Off | 0 |
| N/A 37C P8 29W / 149W | 11MiB / 11441MiB | 0% Default |
| 1 Tesla K80 Off | 00000000:05:00.0 Off | 0 |
| N/A 46C P0 71W / 149W | 0MiB / 11441MiB | 99% Default |
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
| No running processes found |
Jason Ross
Jason Ross on 12 Feb 2020
Edited: Jason Ross on 12 Feb 2020
You need to start a Command Prompt and run it in there -- I assume you are running on Windows?
That said, looking at the latest driver available for this card from nVidia, (423.31), it was released on April 11, 2019. According to the Wikipedia article on the GeForce 800M series, it looks like this particular GPU uses the GF117, which makes it a Fermi class GPU. In 2018, nVidia moved these cards to "legacy status", for which the final CUDA toolkit version is 8.0 -- so anything requiring a tooklit version > 8 is going to not work with this GPU.
According to our GPU support matrix, the latest release to support CUDA toolkit 8.0 is R2017b. Anything later will require a newer GPU to work with it.
I assume when you run nvidia-smi, it's going to show you have CUDA 8.

Sign in to comment.

More Answers (0)




Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!