An IP core for deep learning inference using FPGA, capable of processing over 2000 images per second at up to 500MHz with multicore technology and model compression.

A library that automatically compresses deep learning models via pruning and quantization to reduce inference time and memory usage by over tenfold for use with Spice Engine's inference accelerator.