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Edge AI With FPGAs

Accelerate AI at the Edge With FPGAs

Designing smarter edge AI systems starts with PolarFire® FPGAs. Get low power, real-time responsiveness and flexible deployment whether you are running inference directly on the FPGA or streaming data to the NVIDIA® Holoscan platform and other accelerators.

Low-Power, Cost-Effective AI Inference for Edge Video Applications

Power-Efficient, Low-Latency Sensor Bridge for AI Development

On-FPGA AI Inference with VectorBlox™ SDK

With VectorBlox SDK 2.0, you can deploy neural networks directly on PolarFire FPGAs; no FPGA expertise is required. Achieve real-time video intelligence at the edge with unmatched power efficiency. 

Explore VectorBlox™ 2.0

AI Offload to Accelerators with Ethernet Sensor Bridge

When robotics and autonomous systems demand high-performance AI, PolarFire FPGAs serve as the front end. The Ethernet Sensor Bridge aggregates and streams high-bandwidth sensor data to NVIDIA Holoscan or other accelerators to enable real-time robotic vision and multi-sensor fusion.

Learn More About PolarFire FPGA Ethernet Sensor Bridge

Key Use Cases

Robotic Vision

This solution streams multiple high-resolution video feeds into the NVIDIA Holoscan platform for low-latency AI inference in surgical, industrial and autonomous robots.

Medical Vision

LVDS and JESD are commonly used protocols for image acquisition in ultrasound, MRI and CT/PET scanners. Designers of endoscopes are rapidly adopting SLVS-EC™ image sensors while using CoaXPress to transfer uncompressed video to the receiver.

Featured Products

PolarFire SoC FPGAs

PolarFire SoC FPGAs deliver up to 50% lower power than equivalent SRAM SoC FPGAs. We built PolarFire SoCs upon the award-winning, nonvolatile PolarFire FPGA platform. They feature a five-core Linux®-capable processor subsystem based on the RISC-V® ISA. 

PolarFire FPGAs

Our award-winning PolarFire FPGAs deliver the industry’s lowest power at mid-range densities with exceptional security and reliability. This family of products spans from 100K Logic Elements (LEs) to 500K LEs, features 12.7G transceivers and offers up to 50% lower power than competing mid-range FPGAs