Development software suite FPGA AI

machine learningFPGAEthernet

The FPGA AI Suite enables FPGA designers, machine learning engineers, and software developers to create optimized FPGA AI platforms efficiently. Utilities in the suite speed up FPGA development for AI inference using familiar and popular industry frameworks such as TensorFlow or PyTorch and OpenVINO toolkit, while also leveraging robust and proven FPGA development flows with the Quartus Prime Software. Benefits High Performance Agilex™ 7 FPGA M-Series can achieve a maximum theoretical performance of 88.5 INT8 TOPS, or 3,679 Resnet-50 frames per second at 90% FPGA utilization. Easy System Integration Supports integration with custom IP such as ADCs/DACs, video, and Ethernet to achieve the smallest footprint and lowest latency. Low Total Cost of Ownership Minimize TCO with highly scalable, customizable, fine granularity AI inference across a wide range of performance and batch sizes. Simple and Standard Flows Create and add AI inference IP to current or new FPGA designs with Quartus Prime Software or Platform Designer. AI Front End Support Use your favorite AI front end such as TensorFlow, Caffe, Pytorch, MXNet, Keras, and ONNX. OpenVINO Optimization OpenVINO Toolkit optimizes performance and power while minimizing logic and memory footprint.