MATLAB: Geforce 1080ti vs Quadro P4000 for neural networks and deep learning

computingcudaDeep Learning Toolboxgeforcegpunvidiaparallelquadrovga

Which one is better (at the same price) for training shallow and deep networks in neural network toolbox (r2017b)?
Looking at their specs (11,340 gflops vs 5,304 gflops) the 1080ti seems the one with higher performance/cost ratio but I heard of some cuda issue with geforce line in neural network toolbox. Is 1080ti fully supported in r2017b release? Any other advice?
Thanks

Best Answer

On the face of it the GTX 1080Ti is an all-round better performing card than the Quadro P4000 for deep learning applications, with better compute power and memory size. However, it will have considerably worse double precision performance. Deep learning is all in single precision, but if you are supplementing your deep learning with any standard computation, for instance systems modelling, data analysis or statistics, you will see performance on the 1080 barely much better than your CPU.
The 1080 doesn't support remote desktop which means that if you want to access the machine remotely, you'll find you can't use the GPU if you're using it for graphics as well. The current best-in-show for deep learning on the desktop is the Titan Xp.
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