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This has nothing to do with CUDALink since the NeuralNetworks functionality relies on an independent GPU framework via MXNet
dan7geo
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Configuring GPU for NetTrain

I currently have access to a system with two GPUs: GeForce GTX 1080 and Tesla K40c

I would like to use this machine for training neural networks in Mathematica.

When using the option Target Device->"GPU" for NetTrain it automatically chooses the GTX 1080 GPU for training (I can monitor this from the commandline using nvidia-smi).

However, this card doesn't work with Mathematica yet. It starts training but the loss quickly goes to zero. It's a common problem; see: http://community.wolfram.com/groups/-/m/t/917616

I would like to know how I can fix this issue or configure NetTrain to use the other GPU (Tesla K40c).

More details:

$Version -> 11.0.1 for Linux x86 (64-bit) (September 21, 2016)

dan7geo
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