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Re:Can FPGAs Beat GPUs in Accelerating Next-Generation Deep ... by PeterisP on Tuesday March 21, 2017 @09:09PM (#13927769)
People are buying large quantities of very expensive GPUs just to do some matrix manipulations, so why not FPGAs?

But the point is that you don't have that much FPGA-specific code - once someone does the matrix manipulations and the proper integration, everyone else can just run e.g. tensorflow code on it faster and/or cheaper without specific expertise; if a FPGA vendor can do this one-time investment in software tools, then they can compete for a slice of the large pie of hardware revenue that nvidia now has for itself.

Re:Can FPGAs Beat GPUs in Accelerating Next-Generation Deep ... by radarsat1 on Wednesday March 22, 2017 @09:28AM (#13930689)
But, assuming that "matrix manipulation" code has existed for FPGAs for a while, since verilog and VHDL are quite old, the question remains: why hasn't (a) an FPGA vendor already done this and already actively selling a tensorflow solution or (b) NVidia pursuing this? I have a feeling there are more factors at work than just whether or not it's possible.