Nod’s Runtime optimizations extend all the way to devices that consume a milliwatt for their CNN Inferencing. Nod recently showed off of its state of art Monocular Depth Estimation on the Xilinx DPU using Vitis-AI. Nod was able to optimize the model before targeting the Xilinx DPU to be able to run at 90+ FPS. Take a look at it here on Xilinx’s developer website.
