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Xilinx currently claims that its FPGAs, due to their ability to be customized for different workloads, accelerate processing by 40 times for machine-learning inferencing, 10 times for video and image processing, and 100 times for genomics, relative to CPU- or GPU-based systems. ACAPs, it says, will further ...
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