To broadly cover most of what you brought up, we think our "secret sauce" that both will allow us to actual make a commercially viable processor and allow us to

To broadly cover most of what you brought up, we think our "secret sauce" that both will allow us to actual make a commercially viable processor and allow us to compete is the fact that we are developing some very advanced software in house taking advantage of many new techniques. I can't go into too many details, but we actually think we have developed what is close to the long talked about and "magic" compiler. When it comes to something like the X1 you have to remember NVIDIA loves exaggerating their benchmark results. In reality, it gets around 80% of its theoretical peak, but if you apply it to double precision, it only gets around 40 GFLOPs on Linpack (out of a theoretical 64 DP GFLOPs). Even if you take NVIDIA at face value and say they get full theoretical peak (64 GFLOPs double precision) at 10 watts, that only gets you 6.4 GFLOPs/Watt. One thing that has been completely disregarded in this and my previous posts has been that the GFLOPs numbers we have been saying have been for Linpack and matrix-matrix (Level 3 BLAS) workloads, which are a very small number of real world applications... I would say on average Level 3 BLAS benchmarks get around 90% of theoretical peak on GPU systems, but as soon as you get into other application spaces (Level 1 and Level 2 BLAS, or anything dealing with a lot of memory movement) is where GPUs really start to fall, and only get ~10-20% of theoretical peak. Our architecture is built to actually be able to reach theoretical peak in a "perfect" (which in our case, our hand written FFT kernel), in all 3 BLAS levels. In reality, I would expect us to hit at least 85-90% theoretical peak in all of those floating point domains. As for Altera and FPGAs... they are a royal PITA to program for, and will never be all that efficient. Altera's 10 TFLOP/s number is ONLY capable of single precision float, and is based on adding up the theoretical capabilities of all the DSP slices... in reality, you would never be able to hit that with the memory limitations going to all the DSP slices. In small print, Altera even admits their 10 TFLOPs number is BS, as they list the highest FP32 number as 9.2 TFLOPs. Again, that theoretical 80 TFLOPs/Watt (which I would be surprised if it hits 50 in the real world) is only for single precision, in which we are aiming for 128. All the while we are a hell of a lot easier to program for. As for short term competition, we know for a fact that Intel and NVIDIA will not be hitting our efficiency levels in this decade, and in addition we will have a cost advantage. Compared to FPGAs, we have the ability to actually port existing code over without huge performance sacrifices (C to gates or Altera's OpenCL work is abysmal to performance) or change your development team/learn how to write RTL (You can write code for our chip in any language that LLVM has a frontend for). As for market, our initial target market we are actively working on is large constellation FFT type workloads... think LTE-advanced and "5G" basestation processing as that's where we have our best numbers (25x efficiency over the best DSPs in that space). Beyond that we are looking at the larger "HPC" category, and in the 5+ years out, I hope to be able to expand to more general purpose markets.