Intel® FPGA Technology Solutions for Artificial Intelligence (AI)

Overview

The OpenVINO™ toolkit offers software developers a single toolkit to accelerate their solutions across multiple hardware platforms including FPGAs. Intel® FPGAs offer fast to market, scalable, and customizable solutions.

Getting Started

Discover

Learn more about the OpenVINO™ toolkit.

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Download

Download the latest version of the OpenVINO™ toolkit.

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Install

Learn how to install the OpenVINO™ toolkit for FPGAs.

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Design

Learn how to use the OpenVINO™ toolkit for FPGAs with the Inference Engine Developer Guide.

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Platforms and Devices

Intel® Vision Accelerator Design with Intel® Arria® 10 FPGA

The IEI Mustang-F100-A10 is an Intel® Vision Accelerator Design with Intel® Arria® 10 FPGA GX in a small form factor, PCI Express* (PCIe*) acceleration card that is supported natively by the OpenVINO™ toolkit to deliver low-latency video inference for edge and, cloud deployment. It has been designed to add acceleration capabilities to PCIe* host platforms and has been validated on the IEI TANK-870AI compact IPC for those with space and power constraints.

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Intel® Programmable Acceleration Card with Intel® Arria® 10 GX FPGA (Intel® PAC with Intel® Arria® 10 GX FPGA)

Intel® FPGA-based acceleration platforms include PCIe*-based programmable acceleration cards, socket-based server platforms with integrated FPGAs, and others that are supported by the Acceleration Stack for Intel® Xeon® CPU with FPGAs. Intel platforms are qualified and validated for several leading original equipment manufacturers (OEM) server providers to support large scale FPGA deployment.

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Intel® Stratix® 10 NX FPGA

Intel’s first AI-optimized FPGA for high-bandwidth, low-latency AI acceleration for applications such as natural language processing and fraud detection.

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AI+ Encryption Demo at EVS

This video demonstrates how an Intel® FPGA Programmable Acceleration Card (Intel® FPGA PAC) and OpenVINO™ toolkit can be used to accelerate vision inference where people are detected, identified, and tracked across multiple camera feeds. The design also contains a cryptographic block inside the Intel® FPGA that allows the user to encrypt the trained model before use to protect intellectual property.

Resource Center

Find technical documentation, videos, and training courses for Intel's AI solutions.