The most interesting thing about AMD is their ability to create GPUs with superior synthetic specs than their NVIDIA competitor and yet they lose across the board in anything but embarrassingly parallel applications.  Not only do they lose, but they lose big.<p>Here are two examples.  First, the engine behind Folding@Home:
<a href="https:&#x2F;&#x2F;simtk.org&#x2F;plugins&#x2F;moinmoin&#x2F;openmm&#x2F;BenchmarkOpenMMDHFR" rel="nofollow">https:&#x2F;&#x2F;simtk.org&#x2F;plugins&#x2F;moinmoin&#x2F;openmm&#x2F;BenchmarkOpenMMDHF...</a><p>See also AlexNet (Deep Learning&#x27;s most prominent benchmark):
<a href="https:&#x2F;&#x2F;github.com&#x2F;amd&#x2F;OpenCL-caffe" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;amd&#x2F;OpenCL-caffe</a>
versus GTX TitanX:
<a href="https:&#x2F;&#x2F;github.com&#x2F;soumith&#x2F;convnet-benchmarks" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;soumith&#x2F;convnet-benchmarks</a><p>TLDR: AMD losing by a factor of 2 or more...<p>So unless this changes dramatically, NVIDIA IMO will continue to dominate.<p>But hey, they both crush Xeon Phi and FPGAs so it doesn&#x27;t suck to be #2 when #3 is Intel.