One more thing I wanted to add. As someone who often evaluates new processor architectures, n-body is anything but a real application. It's a nice demo (prett

One more thing I wanted to add. As someone who often evaluates new processor architectures, n-body is anything but a real application. It's a nice demo (pretty too), but real applications (even those that are similar to n-body) have far more complicated inner loops along with sophisticated culling algorithms to effectively reduce the computation to O(n). So far, GPUs have been the only platform flexible enough to do this well. If you pitched me with n-body, I'd laugh you out of the room. Show me compelling AlexNet performance (both forwards and backwards) and you'll have my undivided attention. Those few apps that get 10-20% peak performance tend to show even worse efficiency on CPUs in my experience because they're fundamentally I/O-bound. But unfortunately, those are exactly the sort of pitches I see: unrealistic or overly simplified demos that tell me jack about the real world utility of a new architecture. Switching to a new platform is a Mt. Doom of technical debt no matter how fantastic it is. You need to make climbing Mt. Doom at least sound like a good idea. That said, I've been on your side of the fence several times in the past. Hear me now, believe me later I guess. You can defer and say you are targeting telecom and that's great. But you just picked a fight with NVIDIA here over deep learning and you're 7 people with <2 years of funding left in the bank. Put up or shut up.