Nvidia Titan V GPU for Deep Learning / AI (OSX 10.13.3 - 10.13.4)  

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(@alex_perez_tchernov)
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February 11, 2018 11:36 pm  

Hello. I have been struggling a lot with getting the OSX 10.13.3-10.13.4b2 works with Sonnet eGFX box with Nvidia Titan V . I need eGPU for machine learning configuration with tensorflow and cuda for primary usage. I'm not yet on video editing and gaming side yet, so it's a secondary to have video or monitor accelerated.

I  have tried the following configurations, but I coudn't  make none of them able to work so far.

1. I have firstly tried iMac2017 4k on OSX 10.13.3, with TB3 cable, Nvidia Titan V and Sonnet eGFX Box 350. No external monitor use, so just install 387.10.10.10.25.156  webDrivers, Cuda, and Nvidia-eGPU-v6. It seems I have gone into situation when everything was installed with SIP disabled, due to some install messages.

Result: Nvidia Driver manager shows the proper driver, CUDA Preferences is showing that both CUDA and Nvidia driver is at  proper version with no compains on GPU absence if Sonnet is attached.

Problem: No Nvidia display or driver appeared in Apple -> About this Mac -> Graphics / Display.

2. I have tried laptop MBP 2015 with TB2 cable, Apple TB2 - TB3 Adapter to Nvidia Titan V and Sonnet eGFX Box 350. The result was the same, no appears of the display in About. 

I had tried to verified if some special login may help, so I reboot without TB attached, attach TB on login screen, login, logout, login, but nothing is changed. I have also noticed, that Cuda preference dialog is ok when just connect TB, but after some time Cuda prefs are going to change with  "No GPU detected error" while the TB3 / TB2 is still attached.

3. I have numerously tried to install once more  Nvidia-eGPU-v6 with no effect, so I decided to try automate-eGPU.sh script. Surprise, but it was the only who determined the Nvidia Titan V. It's sad, but nothing changed from Apple -> About menu although.

4. I have also tried to apply Rastafabi eGPU enabler, but not sure if this was the cause, but after that iMac2017 goes to Kernel Panic after, so needs to manually safe boot, delete some kext, and reinstall / upgrade / update osx.

5. Then I have  updated iMac2017 to the latest OSX 10.13.4 Beta 2, since person from the forum reported that things goes better.  
My results is the same with absent of the solution:  no new eGPU-enject  menu appeared, WebDriver changed  to the Default MacOS one (since Nvidia manu says  that this due to lack of Nvidia driver for this version of os), but CUDA strangely depicts, that the latest 387....156 Nvidia web driver version as used.

I wonder 
a) Do I need to use gnost emulator /  HDMI Accelerator to just see  Nvidia card appeared in About?
b) What to recheck / reinstall to fix this both on iMac2017 TB3 10.13.4b and MBP 2015 10.13.3 with TB2 - TB2TB3 Adapter + Sonnet with Nvidia Titan V.

Is automate-eGPU.sh outdated? It basically the only who sees Titan V  from command line 

Detected eGPU

GV100 [TITAN V]

Current OS X

 10.13.3 17D47

Previous OS X

 10.11.6 appstore

Latest installed Nvidia web driver

Version: 387.10.10.10.25.156

Source: 3rd Party

c) Is Bootcamp windows help me with the case? What kind of hotplugs / apple_set_os.efi do I need to use maximize efficiency. 

Thank you  for any help!

 

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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sprober
(@sprober)
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February 12, 2018 2:13 am  

This may help.

Github setup based on becoming human

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(@alex_perez_tchernov)
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February 12, 2018 8:59 am  

Thanks.

Don't you know, is automate-eGPU  not outdated and superseded by nvidia-egpu-v6  (mentioned  https://egpu.io/forums/mac-setup/wip-nvidia-egpu-support-for-high-sierra) ?

As I mentioned above, I have tried this automate-eGPU (but without deletion all of nvidia-egpu installation). This script sees Titan V, but it doesn't influence on "Apple -> About" device or display appearing.

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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psonice
(@psonice)
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February 12, 2018 9:52 am  

I have a similar setup (but older 2014 iMac and 1080TI with an external monitor - don't think that will matter tho). I have macOS 10.13.3, TensorFlow 1.5 running with CUDA 9.0.

General advice:

  • Use 10.13.3, unless you have some specific need to run an older OS or a beta OS (10.13.4 beta looks to have a lot of issues with eGPU setups at this point!)
  • Follow this guide: https://egpu.io/forums/mac-setup/wip-nvidia-egpu-support-for-high-sierra/paged/1/
  • You'll probably want to use the nvidia drivers for 10.13.2, not the latest ones (that seem to cause a lot of trouble!) There are some instructions on how to downgrade the drivers and get them working on 10.13.3 on one of the recent pages on that thread.
  • If the GPU isn't detected or you get a black screen, disconnect the GPU, then boot and log in. Once you've logged in, connect the GPU, then log out and back in. (I have to do this, I think it's related to having FileVault enabled).

Getting tensorflow working on the GPU is a pain. Old versions like 1.0 are easy to find, but compiling recent versions requires patching the code in a bunch of places. Advice for that:

Good luck 🙂

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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devild
(@devild)
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February 12, 2018 11:45 am  

Nvidia web drivers for macOS don't know anything about Titan V, so there is no support for this card on macOS.
And it's very unlikely that Nvidia will add support for just one card of Volta family because of upcoming Ampere cards.

The script sees the card because it reads Device ID and compares it with the online database.

That is not dead which can eternal lie, And with strange aeons even death may die.


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(@alex_perez_tchernov)
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February 12, 2018 9:17 pm  

Hi, @devild, thanks for you comment! I have got your consideration that no direct driver supports for Titan V seems to be shipped from Nvidia.

What would you suggest to perform ? Do I need to try per @psonice comment your's 10.13.2-compatible (nvidia-egpu-v4-su.zip, and 104  / 156 webdriver pkg) code as well? Are any hopes on  automate-eGPU.sh reinstalled from scratch ? Or I'm forced to use Windows 10 in Bootcamp mode anyway with appropriate  apple_set_os.efi modifications?

Thanks for all of you for the help!

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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psonice
(@psonice)
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February 12, 2018 11:19 pm  

If the drivers don't support the card (I didn't know that), it's not going to work on macOS, whatever version. In that case you'll need to run windows or linux until Nvidia add support.

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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devild
(@devild)
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February 13, 2018 8:18 am  

You'll need to use Windows/Linux since this card is not supported on macOS.

That is not dead which can eternal lie, And with strange aeons even death may die.


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rickey
(@rickey)
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February 15, 2018 7:18 pm  

I've been down this path too. The Titan V isn't supported with the driver at this time on mac. I'm checking daily for version 390.* to come out. NVIDIA level 2 has given me the standard we can not comment answers asking about availability. I think it will happen, but in the mean time, I think you will need a titan xp and things will work. 

As for compiling tensorflow, I used this guide.  https://tweakmind.com/tensorflow-1-5-macos-10-13-2/
I used CUDA 9.1 along with cuDNN for CUDA 9.1 (the guide shows some conflicts with versions).  You will see conflicting notes as to whether 1.5 will run on CUDA 9.1.  If you are compiling from the sources, it will indeed run.

You will have to pay particular attention to the python paths. The 2.7 default on a mac will sneak in the config file setup. I compiled using the latest python version 3.6.xx. I have wheels for 2.7, 3.5, 3.6 using CUDA 9.0, 9.1 etc. Basically lots of trials and many errors.

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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Akki
 Akki
(@akki)
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March 13, 2018 5:16 pm  

All,

I contemplating options for adding GPU to my Macbook primarily for Deep Learning. I did a bit of research on enclosures but I am having mixed feedback, limited driver support etc. It seems Titax V is the best out there, but I also see above that it has limited driver support & installation challenges.

Can you please advise :
1. On viable options wrt GPUs, Enclosures.
2. I am even open to setting up Ubuntu box if that is most supported, but I would prefer mac enclosure if that works as an effective option.
3. Lastly, if you can possibly share approx cost of setup would be helpful

Note: I have been using AWS in past and it simply worked out the least bothersome to setup and most time spent on actual work. But my present projects have security challenges to use external cloud & hence the thought to setup local instance.

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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psonice
(@psonice)
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March 13, 2018 6:02 pm  

@akki I'm doing similar stuff. I understand there are no Titan V drivers, so that won't work on Mac. Pity, because it has big performance benefits for ML. It's also very expensive.

I went with a Sonnet eGPU 550 and an Nvidia 1080TI card. Cost was somewhere around £1000 (~$1400). Performance is good, probably ~25x faster than CPU for my stuff (Keras / Tensorflow, CPU is a 4ghz quad i7). It works great, only downside is that I have to log in, THEN connect the eGPU, then log out and back in. After that it's stable and fast. It's quiet too, even under heavy load it's good (I write GPU raytracing stuff, so it's often under sustained, very heavy load 😉

One thing to be wary of is that GPU support is limited on Mac. Tensorflow dropped support after version 1.1 I think, but you can compile it yourself with CUDA enabled, with some work. And there are packages other people have compiled that you can just download, if you hunt around.

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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Akki
 Akki
(@akki)
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March 13, 2018 8:40 pm  

@psonice .. Appreciate the feedback.

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Tico
 Tico
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June 8, 2018 6:48 pm  

Ricky,
Have you heard anything more about MacOS drivers for the Titan V? 
thanks

☀️θ∆ics🌎
MacBook Pro (Retina, 15-inch, Mid 2014),2.8 GHz Intel Core i7 16 GB NVIDIA GeForce GT 750M 2048 MB, Intel Iris Pro 1536 MB
MacBook Pro (Retina, 15-inch, 2018) I9, 2.9 GHZ 16gb Radeon Pro 560x 4 gb
Sonnet BA 650w (upgraded), Titan V & Sonnet BA 650w NVIDIA gtx 1080
Mantiz Venus RX VEGA 8 gb
iMacPro 64 gig. VEGA 54 using Sonnet BA


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rickey
(@rickey)
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June 22, 2018 12:51 pm  

@tico  I haven't.  I stumbled upon your question to me looking for the answer myself. I sent in a query to NVIDIA today to see if there was an update.

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Tico
 Tico
(@tico)
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July 4, 2018 9:17 pm  

I'm assuming Nvidia was not forthcoming about Mac Titan V drivers.

☀️θ∆ics🌎
MacBook Pro (Retina, 15-inch, Mid 2014),2.8 GHz Intel Core i7 16 GB NVIDIA GeForce GT 750M 2048 MB, Intel Iris Pro 1536 MB
MacBook Pro (Retina, 15-inch, 2018) I9, 2.9 GHZ 16gb Radeon Pro 560x 4 gb
Sonnet BA 650w (upgraded), Titan V & Sonnet BA 650w NVIDIA gtx 1080
Mantiz Venus RX VEGA 8 gb
iMacPro 64 gig. VEGA 54 using Sonnet BA


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Tico
 Tico
(@tico)
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September 11, 2018 11:23 am  

Thanks to everyone's help-Mac-editor,  goalque, & many others. Could not have been done without their hard work.
Finally the Titan V drivers are here. They are in the latest web driver that gave everyone so much trouble & I think was pulled.
WebDriver-387.10.10.15.15.108 -NVDAGV100HalWeb.kext
I have done a few quick Geekbench 4 benchmarks for High Sierra 10.13.6 (17G2307)
Sonnet BA 650w (upgraded), Sapphire RX VEGA 8gb
Purge Wrangler, plug in after login, then log out &log back in. It crashes if you leave it plugged in during a reboot.

I have uploaded these to the Geekbench website
Metal 266851
CUDA 564811
OPENGL 226579
LUX 41316

Hardware Overview:

  Model Name: MacBook Pro

  Model Identifier: MacBookPro15,1

  Processor Name: Intel Core i9

  Processor Speed: 2.9 GHz

  Number of Processors: 1

  Total Number of Cores: 6

  L2 Cache (per Core): 256 KB

  L3 Cache: 12 MB

  Memory: 16 GB

  Boot ROM Version: 15.16.6805.0.0,0

NVIDIA TITAN V

  Chipset Model: NVIDIA TITAN V

  Type: External GPU

  Bus: PCIe

  PCIe Lane Width: x4

  VRAM (Dynamic, Max): 12287 MB

  Vendor: NVIDIA (0x10de)

  Device ID: 0x1d81

  Revision ID: 0x00a1

  ROM Revision: VBIOS 88.00.41.00.03

  Automatic Graphics Switching: Supported

  gMux Version: 5.0.0

  Metal: Supported, feature set macOS GPUFamily1 v3

☀️θ∆ics🌎
MacBook Pro (Retina, 15-inch, Mid 2014),2.8 GHz Intel Core i7 16 GB NVIDIA GeForce GT 750M 2048 MB, Intel Iris Pro 1536 MB
MacBook Pro (Retina, 15-inch, 2018) I9, 2.9 GHZ 16gb Radeon Pro 560x 4 gb
Sonnet BA 650w (upgraded), Titan V & Sonnet BA 650w NVIDIA gtx 1080
Mantiz Venus RX VEGA 8 gb
iMacPro 64 gig. VEGA 54 using Sonnet BA


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theitsage
(@itsage)
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September 11, 2018 12:45 pm  

Thank you for sharing the news and I'm glad to hear you got it working. Those numbers crush everything I've seen in macOS for a single card.  😯

Best ultrabooks for eGPU use

eGPU enclosure buying guide

82 external GPU build guides


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rickey
(@rickey)
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September 15, 2018 4:27 pm  

Oh my, this is exciting. I just happen it have my titan v sitting in my corner waiting for this moment. I'm going to give it a go after lunch and see if mine is working too.

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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rickey
(@rickey)
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September 15, 2018 5:45 pm  

Exciting! Seemed to be trickier than I was expecting.  Drivers 387.10.10.15.15.108 were not showing up as eligible for my system.  I installed them directly from NVIDIA.  No dice.  I purge-wrangler and checked things. Looked good.  Didn't work.  I then sanitized and reinstalled the NIVIDA patch.  In this case, the patch noted that the drivers were not compatible with my macos version (I'm at 10.13.6, so maybe it is for Mojave). After that fix, it worked!  I used my tried and true log out, plug in and wait, and then log in. 

I don't think we are 100% there though. The GPU doesn't show under the command+ 4 option in activity monitor. But, I think there is finally hope.  

Below is the spit out of deviceQuery.  I'll work to see if tensorflow and keras will play with it momentarily. 

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

Detected 1 CUDA Capable device(s)

Device 0: "TITAN V"
  CUDA Driver Version / Runtime Version          9.2 / 9.1
  CUDA Capability Major/Minor version number:    7.0
  Total amount of global memory:                 12288 MBytes (12884443136 bytes)
  (80) Multiprocessors, ( 64) CUDA Cores/MP:     5120 CUDA Cores
  GPU Max Clock rate:                            1455 MHz (1.46 GHz)
  Memory Clock rate:                             850 Mhz
  Memory Bus Width:                              3072-bit
  L2 Cache Size:                                 4718592 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 7 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
logout
Saving session...
...copying shared history...
...saving history...truncating history files...
...completed.
Deleting expired sessions...18 completed.

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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rickey
(@rickey)
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September 15, 2018 5:55 pm  

Also getting in the 560k range for CUDA performance.  Now I'm trying to decide if I drive to work to see how it compares to my Titan Xp. Fun times!

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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(@alex_perez_tchernov)
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September 16, 2018 9:10 am  

Hello, great thanks for the updates. May someone please point me out do I need to upgrade to Mojave beta, since 10.13.6 and my current setup show 'no kext loaded'.  Here are the details.

I work on Sonnet Box with Nvidia Titan V  and faked HDMI 28e850 emulator stub connected to the iMac via T3 cable.  OSX  is 10.13.6  17G65.  I have installed Web Driver 387.10.10.15.15.108 by direct download from Nvidia site. PurgeWrangler 4.2.4 enable NVIDIA eGPUS, restart, and it reports now  that NVIDIA Patch is Enabled. 

Not sure, if this matters, but SIP is disabled all the time. 

I tried both to
1) restart without eGPU / login / plug eGPU / logout / login / test
2) restart with eGPU / login  / test

It's interested that if I hot-unplug the eGPU then the screen goes black just for a second, but proceeds normally. System Reports shows that Graphics display just goes to internal Radeon Pro only.  If I  hot-plug that again, then it shows additional Display (Type: External GPU, Bus; PCIe, Lane Width: x4, Vendor: NVIDIA (0x10de), but Kernel extentions: No Kext Loaded).  

Listing /System/Library/Extensions with NVDA filter shows that no recent kext had been added. 

ls /System/Library/Extensions | grep NVDA
NVDAGF100Hal.kext
NVDAGK100Hal.kext
NVDANV50HalTesla.kext
NVDAResman.kext
NVDAResmanTesla.kext
NVDASTartup.kext

So the question is per @rickey notes above, if Mojave updates is the 'after that fix' you did refer to? Thx

(I'm at 10.13.6, so maybe it is for Mojave). After that fix, it worked! 

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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rickey
(@rickey)
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September 16, 2018 11:08 pm  

Well, I probably have some bad news.  Shortly after posting, I needed to downgrade CUDA to 9.1 for my tensorflow wheel.  All seemed fine, but then the computer went in full on kernel panic mode.  I couldn't reset SMC or PRAM to fix the issue.  I tried to reinstall my OS (which has been 10.13.6), but that still didn't clear the issue.  My keyboard was disable on the MBP for all but recovery mode typing. So, I decided to apply my time machine back up from last week.  Sadly, my TM runs off a NAS and I'm 24 hours with about 12 more to go into the recovery.

I'll need to do some checking to see if the incompatibility happened with CUDA tools 9.1 or if it was just a fluke.  In any case, my experience was a bit of a set back.

Alex - mine wasn't detected right away either. I did the purge sanitize and then re-enabled. There was also a CUDA driver *.148 (?) that needed to be updated for device query to find the GPU properly. I believe I plugged mine in during the logged off screen and then waited 30 seconds.  Older drivers used to flash the screen when all was loaded.  That doesn't seem to happen any more.  Maybe just give it a little longer before logging in.  Then, once logged in, go to the system preferences and click on the CUDA item. See if there is an update listed. 

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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rickey
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September 19, 2018 9:02 pm  

So I've been reading up on this driver and I think I'm going to hold off on trying it again. But, the performance improvement is definitely something to take note of.  This is the performance specs from my iMac Pro running  a titan xp. The titan v is approximately 2x the performance.

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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(@alex_perez_tchernov)
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September 23, 2018 7:12 am  

Fine, it finally appears in Graphics/ Displays of iMac, after update to the Mojave and purge-wrangler reenabled!

I wonder how may I benchmark the actual performance of the eGPU, not the internal built-in card? Which software did you @rickey use in above screenshot? I have tried to use UnigineValley for benchmark, but it seems to load internal card only  (Activity Monitor shows the only built-in card in GPU history 100% loaded during the test).

I do have Nvidia Web Driver 387.10.10.15.15.108,  CUDA Driver 410.130, HDMI Emulator 28E850 plugged into eGPU, and set-eGPU.sh (e.g. set EGPU Preference for All Applications) applied. Still no second GPU in ActivityMonitor.

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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rickey
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September 25, 2018 12:59 am  

@alex_perez_tchernov I used Geek Bench.  You can select the computing device (select from CPUs or any GPUs seen by the system).  I ran the CUDA test. 

I've had mixed results with activity monitor showing the eGPU.  Are you using the Command + 4 command while activity monitor is open?  My titan xp always shows up.  The titan v didn't, but then the system shortly after imploded. 

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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Tico
 Tico
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September 28, 2018 12:45 pm  

Until Nvidia releases their web driver for Mojava (assuming it has the NVDAGV100HalWeb.kext) , use HS 10.13.6 (17G65).
The key is the new NVDAGV100HalWeb.kext which supports  Volta (Titan V). If you don't have that kext you can only use the Titan xp (pascal).
The WebDriver-387.10.10.15.15.108 that was released a couple of weeks ago contained the NVDAGV100HalWeb.kext but wasn't stable & was giving people problems. I think it has since been officially pulled, the latest xx.105  doesn't have the NVDAGV100HalWeb.kext.

☀️θ∆ics🌎
MacBook Pro (Retina, 15-inch, Mid 2014),2.8 GHz Intel Core i7 16 GB NVIDIA GeForce GT 750M 2048 MB, Intel Iris Pro 1536 MB
MacBook Pro (Retina, 15-inch, 2018) I9, 2.9 GHZ 16gb Radeon Pro 560x 4 gb
Sonnet BA 650w (upgraded), Titan V & Sonnet BA 650w NVIDIA gtx 1080
Mantiz Venus RX VEGA 8 gb
iMacPro 64 gig. VEGA 54 using Sonnet BA


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oscarbg81
(@oscarbg81)
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Posts: 1
October 31, 2018 12:01 pm  

super interesting thread..
also have a Titan V and seems I missed the NV MAC support in WebDriver-387.10.10.15.15.108..
this driver is removed sadly..
@tico @alex_perez_tchernov @rickey
anyone of you can please share on Google drive or similar the WebDriver-387.10.10.15.15.108.pkg ?
many thanks!

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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(@alex_perez_tchernov)
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Posts: 6
November 2, 2018 7:11 am  

You may try the following

WebDriver-387.10.10.15.15.108.pkg

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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rickey
(@rickey)
Active Member
Joined: 10 months  ago
Posts: 17
November 5, 2018 7:00 pm  

It looks like NVIDIA has re-released the pulled driver over the weekend. I will see if I can get the Titan V up and running over the next couple of days. I have the new web driver running now, and it seems stable so I'm optimistic this time. 

https://www.insanelymac.com/forum/topic/324195-nvidia-web-driver-updates-for-macos-high-sierra-update-11032018/

I have yet to list my system & eGPU hardware or link a build guide in my signature. I will do so soon to give context to my posts.


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Tico
 Tico
(@tico)
Eminent Member
Joined: 2 years  ago
Posts: 20
November 5, 2018 9:07 pm  

The new driver for HS is WebDriver-387.10.10.10.40.108. I didn't find the NVDAGV100HalWeb.kext that was in the WebDriver-387.10.10.15.15.108  which is needed for the Titan V (Volta) so I'm not sure if the titan V will work. I have gotten my 2018 MBP to work with the titan V . I have uploaded my Geekbench marks. I'm having trouble getting my iMacPro to use the titan V. Its recognized in the system report, but Geekbench or lux will not recognize it.

☀️θ∆ics🌎
MacBook Pro (Retina, 15-inch, Mid 2014),2.8 GHz Intel Core i7 16 GB NVIDIA GeForce GT 750M 2048 MB, Intel Iris Pro 1536 MB
MacBook Pro (Retina, 15-inch, 2018) I9, 2.9 GHZ 16gb Radeon Pro 560x 4 gb
Sonnet BA 650w (upgraded), Titan V & Sonnet BA 650w NVIDIA gtx 1080
Mantiz Venus RX VEGA 8 gb
iMacPro 64 gig. VEGA 54 using Sonnet BA


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