GAP8 is uniquely optimized to execute a large spectrum of image and audio algorithms including convolutional neural network (CNN), with extreme energy efficiency, thanks to an integrated 8-core computational cluster combined with a convolution hardware accelerator.

Vector units, intrinsics and proprietary instruction set extensions help the 8 cluster cores execute faster than traditional parallel processor architecture without writing a single line of assembly code.

Fully programmable, RISC-V based PULP parallel architecture enables to cope with the rapidly evolving state-of-the-art in machine learning algorithms.