Neural Network IP for Easily Creating Low-Power FPGA + SDK
To meet the growing need for power-efficient inferencing in edge applications by making it easier for software developers to implement their algorithms in PolarFire® field-programmable gate arrays (FPGAs). As a significant addition to the solutions portfolio in this segment, Microchip’s VectorBlox Accelerator Software Development Kit (SDK) helps developers take advantage of Microchip’s PolarFire FPGAs for creating low-power, flexible overlay-based neural network applications without learning an FPGA tool flow.
FPGAs are ideal for edge AI applications, such as inferencing in power-constrained compute environments, because they can perform more giga operations per second (GOPS) with greater power efficiency than a central processing unit (CPU) or graphics processing unit (GPU), but they require specialized hardware design skills. Microchip’s VectorBlox Accelerator SDK is designed to enable developers to code in C/C++ and program power-efficient neural networks without prior FPGA design experience.