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Machine learning: the new nirvana for FPGAs?

That’s the view of a significant number of players in the ML game, anyway. Even discounting the fact that this opinion is largely heard from companies with FPGAs to sell, it has gained enough traction that it has to be taken seriously;  Microsoft has based its entire Azure business strategy on FPGA-accelerated servers and Americo-Chinese company DeePhi, recently acquired by ...

Peter McGuinness

That’s the view of a significant number of players in the ML game, anyway. Even discounting the fact that this opinion is largely heard from companies with FPGAs to sell, it has gained enough traction that it has to be taken seriously;  Microsoft has based its entire Azure business strategy on FPGA-accelerated servers and Americo-Chinese company DeePhi, recently acquired by Xilinx, is fully FPGA-based and has been a rising star with plenty of success among Chinese giants like AliBaba and Dahua. Wave computing, currently making a credible bid for a place in the datacenter market, has made reconfigurability its core
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