Microchip’s FPGA Engineer, Apurva Peri, shares the VectorBlox™ Accelerator SDK solution, which offers AI/ML Inference for PolarFire® FPGAs and SoCs. This software-based implementation enables AI deployment without
reprogramming the FPGA, supports sparse networks using structured and unstructured compression and provides power-efficient inference and video pipelines delivering less than 5W power consumption. This Broad AI model supports TensorFlow®, TensorFlow Lite, ONNX® and OpenVINO® with configurability that balances performance and low power consumption. Learn more here: https://www.microchip.com/en-us/products/fpgas-and-plds/fpga-and-soc-design-tools/vectorblox
