GPU found but not found?

Accelerated Computing CUDA CUDA Programming and Performance
1

For some reason deviceQuery detects my 8600M GT, and so does bandwidthTest, but it won’t run properly. As you can see, the kext is loaded. Both $PATH and $DYLD_LIBRARY_PATH includes the correct directories. Is it a result of only having 128MB VRAM?

94:release torjue$ ./deviceQuery

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

There is 1 device supporting CUDA

Device 0: "GeForce 8600M GT"

  CUDA Driver Version:						   2.30

  CUDA Runtime Version:						  2.30

  CUDA Capability Major revision number:		 1

  CUDA Capability Minor revision number:		 1

  Total amount of global memory:				 134021120 bytes

  Number of multiprocessors:					 4

  Number of cores:							   32

  Total amount of constant memory:			   65536 bytes

  Total amount of shared memory per block:	   16384 bytes

  Total number of registers available per block: 8192

  Warp size:									 32

  Maximum number of threads per block:		   512

  Maximum sizes of each dimension of a block:	512 x 512 x 64

  Maximum sizes of each dimension of a grid:	 65535 x 65535 x 1

  Maximum memory pitch:						  262144 bytes

  Texture alignment:							 256 bytes

  Clock rate:									0.94 GHz

  Concurrent copy and execution:				 Yes

  Run time limit on kernels:					 Yes

  Integrated:									No

  Support host page-locked memory mapping:	   No

  Compute mode:								  Default (multiple host threads can use this device simultaneously)

Test PASSED

Press ENTER to exit...

94:release torjue$ ./bandwidthTest 

Running on......

	  device 0:GeForce 8600M GT

Quick Mode

Host to Device Bandwidth for Pageable memory

cudaSafeCall() Runtime API error in file <bandwidthTest.cu>, line 647 : no CUDA-capable device is available.

94:release torjue$ kextstat | grep "CUDA"

  149	0 0x56928000 0x2000	 0x1000	 com.nvidia.CUDA (1.1.0) <4 1>
2

yes, it probably doesn’t have enough memory to create a CUDA context.