TECHNOLOGIES We saw a fast-growing number of IoT devices and believed the era of
Artificial Intelligence is something inevitable. We embrace the challenges of bringing the most power-efficient and advanced NPU(Neural Processing Unit) for IoT devices.
PERFORMANCE TESTThis video illustrates how fast 50,000 pictures from the Imagenet 2012 dataset in an FPGA board are processed by the DEEPX NPU. The demo system is composed of a Windows PC and Xilinx Alveo U250 FPGA board.
The FPGA-based implementation runs at 320Mhz and demonstrates 600 IPS (1.6 ms per inference) for the MobileNet Version 1 in the MLPerf AI benchmark category.The ASIC’s implementation will increase threefold without any NPU design change due to simple clock frequency improvement. (Top-ranked in the MLPerf AI benchmark)