CUDA Runtime API error 38: no CUDA-capable device is detected

Question

The Situation

I have a 2 gpu server (Ubuntu 12.04) where I switched a Tesla C1060 with a GTX 670. Than I installed CUDA 5.0 over the 4.2. Afterwards I c

Answer 1

I came across this issue, and running

nvidia-smi

informed me of an API mismatch. The problem was that my Linux distro had installed updates that required a system restart, so restarting resolved the issue.

Answer 2

See this stack overflow question Installing cuda 5 samples in Ubuntu 12.10.

1. Ubuntu 12 is not a supported Linux distro (yet). For reference see CUDA 5.0 Toolkit Release Notes And Errata

   ** Distributions Currently Supported

   Distribution       32 64  Kernel                 GCC         GLIBC        
   -----------------  -- --  ---------------------  ----------  -------------
   Fedora 16          X  X   3.1.0-7.fc16           4.6.2       2.14.90      
   ICC Compiler 12.1     X                                                   
   OpenSUSE 12.1         X   3.1.0-1.2-desktop      4.6.2       2.14.1       
   Red Hat RHEL 6.x      X   2.6.32-131.0.15.el6    4.4.5       2.12         
   Red Hat RHEL 5.5+     X   2.6.18-238.el5         4.1.2       2.5          
   SUSE SLES 11 SP2      X   3.0.13-0.27-pae        4.3.4       2.11.3       
   SUSE SLES 11.1     X  X   2.6.32.12-0.7-pae      4.3.4       2.11.1       
   Ubuntu 11.10       X  X   3.0.0-19-generic-pae   4.6.1       2.13         
   Ubuntu 10.04       X  X   2.6.35-23-generic      4.4.5       2.12.1    
   

2. If you want to do it run on Ubuntu 12 anyway then see answer of rpardo. It looks like this distro instead of installing 64 bit libraries to /usr/lib64 installs them to /usr/lib/x86_64-linux-gnu/

I'd suggest searching for all instances of libcuda.so and libnvidia-ml.so on the system. Since the driver doesn't support this distro it might have installed libraries to a path that is not pointed by LD_LIBRARY_PATH. Then move the libraries around and/or change the LD_LIBRARY_PATH to point to this location (it should be the first path on the left). Then retry nvidia-smi or deviceQuery

Good luck

Answer 3

Try running the sample using sudo (or, you might do a 'sudo su', set LD_LIBRARY_PATH to the path of cuda libraries and run the sample while being root). Apparently, since you've probably installed CUDA 5.0 using sudo, the samples doesn't run with normal user. However, if you run a sample with root, then you'll be able to run samples with the regular user too! I've not yet restarted the system to see if samples work with normal user even after reboot, or each time you should run at least one CUDA application with root.

The problem might completely disappear if you install CUDA TookKit without using sudo.

Answer 4

I had very similar problem on Debian and it turns out that loaded nvidia module had different version than libcuda1.

To check for installed nvidia module you should do:

  $ sudo modinfo nvidia-current | grep version
  version:        319.82

If it doesn't match version of libcuda1 this the root of your problems.

Answer 5

I got error 38 for cudaGetDeviceCount on a windows machine with GTX980 GPU. After I downloaded the latest driver for GTX 980 fro the NVIDIA site, installed it and restarted, everything is fine. Looks like the CUDA installer is not installing the latest driver.