cuda and insufficient driver version


I’m trying to use CUDA technology, but have some issues

greymachine ~/NVIDIA_CUDA-5.0_Samples/1_Utilities/deviceQuery $ ./deviceQuery 
./deviceQuery Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

cudaGetDeviceCount returned 35
-> CUDA driver version is insufficient for CUDA runtime version

greymachine ~/NVIDIA_CUDA-5.0_Samples/1_Utilities/deviceQuery $ *

That’s my problem.

My config:

$ nvidia-settings -q NvidiaDriverVersion
  Attribute 'NvidiaDriverVersion' (greymachine.localdomain:0.0): 310.19

$ uname -r

$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2012 NVIDIA Corporation
Built on Fri_Sep_21_17:28:58_PDT_2012
Cuda compilation tools, release 5.0, V0.2.1221 *
$ ./deviceQueryDrv 
./deviceQueryDrv Starting...

CUDA Device Query (Driver API) statically linked version 
Detected 1 CUDA Capable device(s)

Device 0: "GeForce GT 430"
  CUDA Driver Version:                           5.0
  CUDA Capability Major/Minor version number:    2.1
  Total amount of global memory:                 1024 MBytes (1073283072 bytes)
  ( 2) Multiprocessors x ( 48) CUDA Cores/MP:    96 CUDA Cores
  GPU Clock rate:                                1400 MHz (1.40 GHz)
  Memory Clock rate:                             800 Mhz
  Memory Bus Width:                              128-bit
  L2 Cache Size:                                 131072 bytes
  Max Texture Dimension Sizes                    1D=(65536) 2D=(65536,65535) 3D=(2048,2048,2048)
  Max Layered Texture Size (dim) x layers        1D=(16384) x 2048, 2D=(16384,16384) x 2048
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 32768
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  1536
  Maximum number of threads per block:           1024
  Maximum sizes of each dimension of a block:    1024 x 1024 x 64
  Maximum sizes of each dimension of a grid:     65535 x 65535 x 65535
  Texture alignment:                             512 bytes
  Maximum memory pitch:                          2147483647 bytes
  Concurrent copy and kernel execution:          Yes with 1 copy engine(s)
  Run time limit on kernels:                     Yes
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Concurrent kernel execution:                   Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  Device supports Unified Addressing (UVA):      Yes
  Device PCI Bus ID / PCI location ID:           1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > *
$ lsmod | grep nvidia
nvidia               9381500  39 
i2c_core               30993  3 i2c_i801,nvidia,videodev

[   28.548939] NVRM: loading NVIDIA UNIX x86_64 Kernel Module  310.19  Thu Nov  8 00:52:03 PST 2012
[   29.065356] NVRM: GPU at 0000:01:00: GPU-5a5ce500-f7fd-ab9d-64d7-cc0d1fe26ff1
[   29.065360] NVRM: Your system is not currently configured to drive a VGA console
[   29.065361] NVRM: on the primary VGA device. The NVIDIA Linux graphics driver
[   29.065362] NVRM: requires the use of a text-mode VGA console. Use of other console
[   29.065363] NVRM: drivers including, but not limited to, vesafb, may result in
[   29.065364] NVRM: corruption and stability problems, and is not supported.
 1682.331776] NVRM: GPU at 0000:01:00: GPU-5a5ce500-f7fd-ab9d-64d7-cc0d1fe26ff1

$ ldd ./deviceQuery (0x00007fffd4dff000) => /usr/local/cuda-5.0/lib64/ (0x00007f5e90c26000) => /usr/lib64/ (0x00007f5e90922000) => /lib64/ (0x00007f5e9070c000) => /lib64/ (0x00007f5e90362000) => /lib64/ (0x00007f5e90145000) => /lib64/ (0x00007f5e8ff40000) => /lib64/ (0x00007f5e8fd38000) => /lib64/ (0x00007f5e8fa3e000)
        /lib64/ (0x00007f5e90eaa000)  *

I’ve installed cuda toolkit, downloaded from the nvidia site, i’ve precompiled drivers from my distro (Alt Linux), but doesn’t come with them, so i copied that library from original nvidia drivers. Compiling is ok. I’ve also tested 2.6.32 kernel with 304.51: got the same msg, but that is understandable, cuda comes with 304.54 driver.

AFAIU, if i have newer drivers, than came with cuda toolkit, that is ok. But as u see some thing is wrong.

So, can kernel drivers be newer, than original (i.e drivers i got with cuda)
May be i should compile modules myself? but what for, why? my distro modules work good.