Unlocking the Potential of Agilex 5 System on Module in AI Development

Intel Agilex™ 5 FPGAs and SoCs enhanced the industry’s first AI tensor block from Intel’s previous AI-optimized FPGA for general purpose, mid-range FPGAs in Intel Agilex™ 5 FPGAs, making them an ideal choice for edge AI applications. The Agilex™ 5 FPGA features an asymmetric applications processor system consisting of dual Arm Cortex-A76 cores and dual Cortex-A55 cores that optimize the performance and power efficiency of their workloads. Integrated with an enhanced DSP with AI Tensor block, the Agilex™ 5 offers advanced connectivity features such as High-speed GTS transceivers up to 28.1 Gbps and PCI Express* ( PCIe* ) 4.0 × 8, DisplayPort and HDMI Output.

The AI/ML software capabilities start with popular platforms such as TensorFlow and PyTorch, icnluding the support for the open-source OpenVINO toolkit that works with the FPGA AI Suite and Quartus Prime FPGA design software. The OpenVINO toolkit takes Deep Learning models from all the major Deep Learning frameworks (such as TensorFlow, PyTorch, Keras) and optimizes them for inference on a variety of hardware architectures, including various CPUs, CPU+GPU, and FPGAs. The Intel FPGA AI Suite was developed with the vision of ease-of-use of artificial intelligence (AI) inference on Intel FPGAs.