disingenuous to use a highly charged term like "blogspam" and then qualify it as "kinda". kettle/black. Why say "blogspam" if you don't mean it? And while I ag

disingenuous to use a highly charged term like "blogspam" and then qualify it as "kinda". kettle/black. Why say "blogspam" if you don't mean it? And while I agree that the OP is not indepth, it is not blogspam. AVX512 is a very real, very very real, order of magnitude, performance improvement. To give you an idea, going from standard 64-bit to AVX-256 with MKL Numpy (under ipython) you will go from 6-7 seconds, to under 1 second, on an identical 2012+ processor, on this code: import numpy as np np.random.seed(1234) xx = np.random.rand(1000000).reshape(1000, 1000) %timeit np.linalg.eig(xx) The best way to test this is to run the above on bog-standard Ubuntu 16.04 (sudo apt-get install python(3)-pip / sudo pip(3) install numpy first), and then run it again after installing Anaconda Python. AVX512 will halve this timing again, and before you tell me that Cuda will do this much faster, I'll remind you that there is a point at which 4000 cuda stream processors operating on 64bit data can, in many algos, be a vastly too large window. Phi KL's 72 branching cores with 4 threads and 2x512-bit AVX each, can be a very strong competitor to the flatspace GPUs in nonlinear algos. There is clear blue sky between the scalar architectures and the massively parallel architectures, which has not been targeted yet and this is where KL fits in. After all, the GPUs are still, first and foremost, designed to rotate and translate massive-amounts of triangles in 3d shooters, a task for which a vast number of very dumb little cores is optimal. As much as Nvidia make like you to believe different, that is still their primary market and it doesn't always map well to everything. Between the current extremes of a small number of very flexible and clever cores (xeon/i7), and 4000 very stupid but numerous cores (GPU), there is a lot of room something in between. Intel isn't so much late to the party as attacking an obliquely different segment of the market, which may prove very interesting indeed.