Nine FPGA ML Accelerator Mistakes That Kill Real-World Performance

FPGA-based ML acceleration looks straightforward on paper: implement convolution, add parallel MAC units, stream data, and achieve high TOPS But once a design moves beyond small demos and begins running real models at real resolutions, the engineering challenges shift dramatically.…
















