Intel® Vision Accelerator Design

Deploy power-efficient deep neural network inference for fast, accurate video analytics and computer vision applications.

  • High throughput and efficiency
  • Scalable, optimized performance for cost- and power-efficient AI at the network edge
  • Works with Intel® Distribution of OpenVINO™ toolkit 
  • Run analytics on edge servers, appliances, and network video recorders (NVR).
  • Full use of Intel® architecture across CPUs, CPUs with integrated graphics, FPGAs, and VPUs

  With Intel® Movidius™ VPU

With Intel® Arria® 10 FPGA


Specialized processors

High-performance machine vision

Ultra-low power

Flexible, customizable processors

Advanced video and image processing workloads

Larger compute-intensive networks

Form Factor

M.2, M-PCIe*

PCIe* half height, half length, single slot (passive cooling)

PCIe half height, half length, two slot (active cooling)

PCIe half height, half length, single slot (passive cooling)

Host Interface

M.2 (USB)


4 - PCIe Gen2

8 - PCIe Gen3
Up to 25 W
60 W maximum, 40 W typical
Lowest (most networks less than 10 ms)
FP16, FP11
0°C - 55°C (passive and active cooling options)

0°C - 65°C (active cooling)

0°C - 55°C (passive cooling, built-in cooling system)

0°C - 45°C (passive cooling, no cooling system)

Operating Profile

Continuous operation

8 years active cooling, 10 years passive cooling


Hardware optimized for generic use cases

Scale with multiple VPUs

Custom network support

Custom FPGA functions