Microchip's PolarFire FPGA's total power consumption is 30 to 50 percent lower than other mid-range FPgas. These devices are well suited for computation-intensive edge devices, including those deployed in thermal and power-constrained environments, as computing workloads move to the edge and provide five to ten times lower static power consumption. PolarFire FPGA intelligent embedded vision solutions include video, imaging and machine learning (ML) IP, as well as design acceleration tools, for applications requiring low power, small size, and high performance in the industrial, medical, broadcast, automotive, aerospace and defense markets.

     Build ultra-low power and ultra-small artificial intelligence (AI)/ML applications on award-winning PolarFire FPgas using CoreVectorBlox neural network IP and VectorBlox Accelerator Software Development Kit (SDK). CoreVectorBlox IP is a flexible neural network accelerator that uses an overlay approach where a single instance can run different networks without recomposition.PolarFire SoC Intelligent Embedded Vision Development platform is a fully featured RISC-V® SoC FPGA suite that is part of Microchip's diverse portfolio of secure, reliable, and energy efficient vision solutions.