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332 bytes added ,  18:27, 10 November 2017
*NVLink can link between CPU and GPU for increase in speed, but only with the CPU IBM POWER8+.
*NVLink can link between GPU and GPU as a replacement for SLI with other CPUs, but this is not super relevant to tensorflow, even if trying to parallelize across one model.
*[https://www.quora.com/Which-GPU-is-better-for-Deep-Learning-GTX-1080-or-Tesla-K80 This source] says to get the 1080 because the K80 is basically two K40s, which have less memory bandwidth than the 1080. [https://www.reddit.com/r/deeplearning/comments/5mc7s6/performance_difference_between_nvidia_k80_and_gtx/ This source] agrees.
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