The Vitis™ AI recurrent neural network (RNN) tools are a sub-module of the Vitis AI development environment focusing on implementing RNN on Xilinx® hardware platforms, including the Alveo™ accelerator cards. The tools consist of optimized IP cores, tools, libraries, models, and example designs. They are designed with high efficiency and ease-of-use in mind to unleash the full potential of AI acceleration on Xilinx FPGAs and on Adaptive Compute Acceleration Platforms (ACAPs). The RNN tools make it easy to develop RNN inference applications by abstracting the intricacies of the underlying FPGA and ACAP.
Figure 1. Vitis AI RNN stack
