Um, no? The actual problem is that most FPGAs already have DPUs for machine learning integrated on them. Some Xilinx FPGAs have 400 "AI Engines" which provide s

Um, no? The actual problem is that most FPGAs already have DPUs for machine learning integrated on them. Some Xilinx FPGAs have 400 "AI Engines" which provide significantly more compute than the programmable logic, the almost 2000 DSP slices or the ARM cores. This means that the problem with FPGAs is primarily lack of SRAM and limited memory bandwidth. https://www.xilinx.com/products/boards-and-kits/vck190.html https://www.xilinx.com/products/boards-and-kits/vck190.html