Low power 28nm FPGAs deliver on-device AI processing

The new stack includes support for the CrossLink-NX family of FPGAs for low power smart vision applications and features customized convolutional neural network (CNN) IP, a flexible accelerator IP that simplifies implementation of common CNN networks and is optimized to further leverage the parallel processing capabilities of FPGAs. For applications like smart vision that require higher Edge AI performance, CrossLink-NX FPGAs running sensAI software deliver twice the performance at half the power when compared to prior releases of the solutions stack. Updates to the NN compiler software tool let developers easily compile a trained NN model and download it to a CrossLink-NX FPGA. When running on a CrossLink-NX FPGA, the sensAI solutions stack offers up to 2.5 Mb of distributed memory and block RAM and additional DSP resources for efficient on-chip implementation of AI workloads to reduce the need for cloud-based analytics. The devices are manufactured in a 28 nm FD-SOI process that delivers a 75 percent reduction in power in comparison to similar competing FPGAs.