Nvidia eGPU on Macbook Pro 2017 15inc High Sierra 10.13.14いけた!


やっと!表題のNvidia eGPUがMacで使えた!!

GIGABYTE ビデオカード GTX1070搭載 外付けVGA BOX GV-N1070IXEB-8GD

GIGABYTE ビデオカード GTX1070搭載 外付けVGA BOX GV-N1070IXEB-8GD



$ ./deviceQuery
./deviceQuery Starting...

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

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 1070"
  CUDA Driver Version / Runtime Version          9.2 / 9.1
  CUDA Capability Major/Minor version number:    6.1
  Total amount of global memory:                 8192 MBytes (8589737984 bytes)
  (15) Multiprocessors, (128) CUDA Cores/MP:     1920 CUDA Cores
  GPU Max Clock rate:                            1721 MHz (1.72 GHz)
  Memory Clock rate:                             4004 Mhz
  Memory Bus Width:                              256-bit
  L2 Cache Size:                                 2097152 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
  Maximum Layered 1D Texture Size, (num) layers  1D=(32768), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layers
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  2048
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and kernel execution:          Yes with 2 copy engine(s)
  Run time limit on kernels:                     Yes
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  Device supports Unified Addressing (UVA):      Yes
  Supports Cooperative Kernel Launch:            Yes
  Supports MultiDevice Co-op Kernel Launch:      No
  Device PCI Domain ID / Bus ID / location ID:   0 / 70 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.2, CUDA Runtime Version = 9.1, NumDevs = 1
Result = PASS

作業としては↓のスレッドのPurgeWranglerをインストールし、2. Universal NVIDIA eGPU Patchを選択。完了したら再起動。


$ purge-wrangler
>> PurgeWrangler (3.0.2)

   >> Patching System               >> Reverting & Recovery
   1.  TB1/2 eGPU Patch             4.  Uninstall Patches
   2.  Universal NVIDIA eGPU Patch  5.  System Recovery
   3.  Patch Status Check

   >> Additional Options            >> System Sleep Configuration
   6.  Command-Line Shortcuts       8.  Disable Hibernation
   7.  Script Version               9.  Enable Hibernation

   10. Reboot System
   11. Quit

What next? [1-11]: