Intel® Vision Accelerator Design

FPGA

Available in a small form factor (as a PCIe* add-in card), this design enables deep learning inference at low power and low latency. It is well suited for real-time applications with limited space and power budget such as surveillance, retail, medical, and machine vision.

Common uses:

• Achieve optimized solutions through reprogramming flexibility

• Deliver high-performance, on-device deep learning inferences at low power and low latency

• Execute a compact form factor that's suitable for edge systems

Works best for:

• Industrial manufacturing

• Digital security and surveillance

• Retail

• Medical

Resource:

• White Paper

Supported hardware:

• Intel® Vision Accelerator Design with an Intel® Arria 10 FPGA (preview)

Supported operating system:

• Ubuntu 16.04.3 TLS (64 bit)

Supported toolkit component:

• Deep Learning Deployment Toolkit