>come up with a "better" (performant, cheaper, easier to use, etc.) solution than GPUs for ML applications you probably are aware but Xilinx themselves is atte

>come up with a "better" (performant, cheaper, easier to use, etc.) solution than GPUs for ML applications you probably are aware but Xilinx themselves is attempting this with their versal aie boards which (in spirit) similar to GPUs, in that they group together a programmable fabric of programmable SIMD type compute cores. https://www.xilinx.com/support/documentation/architecture-manuals/am009-versal-ai-engine.pdf https://www.xilinx.com/support/documentation/architecture-ma... i have not played with one but i've been told (by a xilinx person, so grain of salt) the flow from high-level representation to that arch is more open https://github.com/Xilinx/mlir-aie https://github.com/Xilinx/mlir-aie