Accelerator cards exploit fpga technology to boost server performance

Xilinx Developer Forum, California: Two accelerator cards, the Alveo U200 and Alveo U250, (www.xilinx.com/250) announced by Xilinx, improve latency rates to accelerate real-time machine learning inference, video processing, genomix and data analytics. Both are based on a customise 16nm UltraScale+ fpga and therefore can be reconfigured to accommodate new algorithms and standard or shifts in ...

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