Intel FPGA AI Suite

Vendor: Intel

Category: FPGA Field-Programmable Gate Array

Architecture: Intel Agilex / Stratix

Introduction

Intel FPGA AI Suite is an AI inference optimization toolkit for Intel Agilex/Arria/Stratix FPGAs. It supports OpenVINO model optimization and can deploy models onto FPGAs for low-latency inference.

Specifications

Model	Compute	Memory	Interface	TDP	Process
Agilex 9	200 TOPS (INT8)	64GB DDR4	PCIe 4.0	250W	Intel 7
Agilex 7	100 TOPS (INT8)	32GB DDR4	PCIe 4.0	150W	Intel 7

Official Website

Visit Official Website

Driver Downloads

Linux

• Intel FPGA Driver (Linux)
• Intel FPGA AI Suite

Related Documentation

• Intel FPGA AI Suite Documentation
• OpenVINO on FPGA
• FPGA AI Getting Started Guide

OS Support

Windows	Linux	macOS	Android
✅	✅	❌	❌

Version History

Version	Release Date	Description
Intel FPGA AI Suite 3.0	2024	Agilex 9 support + oneAPI

Performance Benchmarks

Model	Task	Performance Metric
Agilex 9	AI Inference	High throughput INT8 inference
Agilex 7	Video Processing	Multi-stream real-time processing

Pricing Information

Model	Reference Price	Notes
Agilex 9	$5,000-10,000	High-end FPGA
Agilex 7	$2,000-5,000	Mid-range FPGA

Quick Setup

Linux (Ubuntu 22.04)

# 1. Install Intel FPGA Runtime
sudo apt install -y intel-fpga-runtime

# 2. Program FPGA
aocl program acl0 kernel.aocx

# 3. Verify
aocllist

Intel FPGA SDK download from Intel FPGA.

Code Examples

C (Intel FPGA OpenCL)

// FPGA Kernel (OpenCL)
__kernel void matmul(__global const float *A, __global const float *B, __global float *C) {
    int i = get_global_id(0);
    C[i] = A[i] * B[i];
}

Compile with: aoc kernel.cl -o kernel.aocx

Architecture Highlights

• Agilex / Stratix: Intel (Altera) FPGA architecture, supporting AI and signal processing
• OneAPI for FPGA: Unified programming model, supporting SYCL/OpenCL
• AI Suite: Intel FPGA AI inference optimization toolchain

Model Compatibility

Model/Framework	Support Status	Notes
OpenVINO	✅	Intel FPGA backend
OneAPI/SYCL	✅	Unified programming
Custom Logic	✅	FPGA core advantage
Quantized Inference	✅	INT8 optimized

Related Products

If you are evaluating alternatives, the following products may also fit your scenario:

• AMD Alveo FPGA — AMD (Xilinx) (FPGA Field-Programmable Gate Array)
• Achronix Speedster — Achronix (FPGA Field-Programmable Gate Array)
• Intel GPU — Intel (GPU Graphics Processor)
• Intel Gaudi — Intel (ASIC dedicated accelerator)
• NVIDIA GPU / CUDA — NVIDIA (GPU Graphics Processor)
• AMD ROCm / GPU — AMD (GPU Graphics Processor)