Hi Sander, yes, I've got the TitanX. I do not have comparative benchmarks with the other ones though.

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• Nvidia Cuda 8.0 For Mac Mac

For me it was definitely worth buying the boxes - and I am lucky that Wolfram reintroduced the support for them. I wouldn't say that I am particularly good at CUDA (quite the opposite), but I could make some code run substantially faster, which was really important for a project I have.

Note, that you can also buy the BizonBox without the GPU, so if you have a spare one flying around you can (most likely) use that one. Cheers, Marco. Dear Neil, the downgrading is strictly speaking not necessary if you only want the Wolfram Language's Machine Learning and functions that do not require compilation. If you have the latest you see something like this, but with 'The Version ('80300')' or so. It is a warning that the compilation failed.

It is not a Mathematica/WolframLanguage problem. If you followed the instructions in the OP you would have generated a folder /Developer/NVIDIA/CUDA-8.0/samples/2Graphics/Mandelbrot/ you could try to use 'make' to compile and that will fail unless you have downgraded the command line tools. The process needs the command line c-compilers and there is an incompatibility, I think. Best wishes, Marco. Thank you Marco! I used your instructions to get a BizonBox 2S successfully working on my MacBook Pro. Some glitches I ran into that I'll mention in case they come up for others:.

I had trouble getting the Bizon to activate, and then to have the Nvidia control panel find the Bizon. Sometimes actions would work and other times not. After experiments and consultation with support, I replaced the long Thunderbolt cable supplied with the Bizon with a shorter one (three foot). That solved many of the problems.

I still had difficulty getting the mac to see the box. Support said that the Mac should be off when the box is connected or disconnected.

Select Target Platform. Click on the green buttons that describe your target platform. Only supported platforms will be shown. Sep 6, 2018 - The CUDA Driver is designed to bring support for all Nvidia graphic cards. CUDA driver update to support CUDA Toolkit 9.0, macOS 10.13.2.

Finally I couldn't get cuda recognized as installed by the Nvidia app or Mm. The last thing I did before it worked was plug in a display to the Bizon - then everything started working.

Nvidia Cuda 8.0 For Mac Mac

The display didn't stay plugged in, and I don't need it now, but it seemed that it needed to be there to initialize something. All of this was with a lot of on/off, rebooting, trying different things so I'm not sure the above is necessary, but in the end it got mine working following your instructions.

Thanks again Marco - I'm not sure I would have stuck it out without knowing there was light at the end of the tunnel. Dear Mike, thank you for your nice words. I am glad if some of what I wrote helped.

You are right that sometimes it takes a bit of rerunning bits several times, and some rebooting to make it work. On a 'clean' Mac the instructions appeared to work, but after trying this on many Macs now, there is often some rebooting required. Also, when you run an update of the OS you might have to perform some of the instructions again. On the bright side, I got the GPU to work on all Macs we have tried so far.

The script on this page: sometimes seemed to make a difference, particularly after an OS update. Also OSX regularly wants to update the downgraded Command Line Tools, which is a bit annoying. Best wishes, Marco. Marco, thank you for all of this very usable information. Following these instructions I was easily able to get a similar setup working, the main difference is that my GPU is an NVIDIA GTX 1080 Ti.

I'm posting some benchmarks for GPU comparison (and some details about the setup the end). The network training task came in at about 2 minutes 17 seconds withthe 1080 Ti: The ImageConvolve was still slower with CUDA, but not a lot slower: I was not successful in growing a Mandelbulb, but I didn't put any real effort into trying to troubleshoot this. Thanks again, I never would have attempted this had you not documented your setup. Jan PS: On a related note, Apple appears to be moving towards supporting external GPU's in the upcoming, but apparently only with computers that support Thunderbolt 3. PPS: Some technical details: Computer: Model Name: MacBook Pro Model Identifier: MacBookPro11,4 Processor Name: Intel Core i7 Processor Speed: 2.2 GHz eGPU: I have a BizonBox 2S connected by Thunderbolt 2. I first downgraded the Command Line Tools. Then I followed the BizonBox instructions (including having an external monitor plugged into the GPU via HDMI).

Then I followed Marco's instructions for the Wolfram setup. I only experienced one minor setback, which was that the CUDAResourcesInstall crashed the Wolfram kernel the first time I tried it, but worked fine after launching a new kernel.