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Does MATLAB 2018b Support NVIDIA GeForce 2080 Ti RTX For Creating/T​raining/Im​plementing Deep Learning Neural Networks, And, If So, Then Which Version Of CUDA Should I Use?

Asked by Simon Saggers on 14 Jan 2019
Latest activity Commented on by Walter Roberson
on 20 Jan 2019
Does MATLAB 2018b Support NVIDIA GeForce 2080 Ti RTX For Creating/Training/Implementing Deep Learning Neural Networks, And, If So, Then Which Version Of CUDA Should I Use?

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2 Answers


Answer by Joss Knight
on 19 Jan 2019

Yes, you can. Use the following workaround to avoid annoying warnings and errors:
warning off parallel:gpu:device:DeviceLibsNeedsRecompiling
try
gpuArray.eye(2)^2;
catch ME
end
try
nnet.internal.cnngpu.reluForward(1);
catch ME
end
You can put this in your startup.m, for instance.
It is a common misconception to think that you need to install a particular version of CUDA. The vast majority of users just need to get the most recent driver appropriate for their GPU.

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"Each MATLAB release has a minimum CUDA driver version, but any later version can be used as well, provided that NVIDIA still supports your architecture. As NVIDIA continually improves their drivers, we recommend that you use the most recent CUDA driver version that supports your architecture."
Which I would then follow by a list of releases and corresponding minimum CUDA version (annotated with information about when architecture families started and stopped being supported by NVIDIA.)
Ah, well we already have that on our GPU support by release page. But yes, your wording is along the lines of what we'll end up with - I hope you'll be happy with it!

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