The integrated AI engines in the Xilinx Versal AI series devices deliver breakthrough AI inference performance through the up to 8X better silicon area compute density when compared with traditional programmable logic DSP and ML implementations. This talk will outline the ongoing TVM based work at Xilinx to build and compile for AI Engine powered ML accelerators. This involves creating a flexible compilation and runtime flow to make effective use of the programmable array of vector processors, shared memory and DMA engines.
