NVIDIA updated its CUDA drivers to 6.0.37 for Mac OS 10.9 Mavericks today. As TonyMacx86 points out, it is for all NVIDIA products running on Mac (or Hack) hardware. If you already have CUDA ...

The CUDA driver 'libcuda' uses the GPU via the shared library 'libdxcore'. Below is how TensorFlow , a machine learning library, is running on WSL.

Device 0: "GeForce GTX 1060 3GB" CUDA Driver Version / Runtime Version 9.1 / 9.1 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 3013 MBytes (3158900736 bytes) ...

GPU support requires CUDA GPUs, drivers, and graphics cards of at least the GeForce GTX 9xx series. For Python, Nvidia recommends version 3.9 and higher.