Specialized processors designed to deliver high-performance machine vision at ultra-low power.

  • Supports up to 16 video streams per device
  • Ideal for camera and network video recorder (NVR) use cases with power, size, and cost constraints
  • Supports small memory footprint networks

Buy

 

Deep Neural Networks

Optimized for computer vision applications built using deep neural networks for low power, low cost, and small form factors

Power Efficiency

Ultra-low-power demands allow for integration on cameras and edge servers running on power- and size-constrained systems

Easy to Scale

Scalable analytics with minimal software changes for single- to multiple-chip solutions

Intel® Vision Accelerator Design

Features

With 1 Intel® Movidius™ VPU

With 2 Intel Movidius VPUs

With 8 Intel Movidius VPUs

VPU

1 - MA2485

2 - MA2485

8 - MA2485

Board dimensions

M.2 2230 Key E & A

22 mm x 30 mm

M-PCIe*

30 mm x 50 mm

Half-height, half-length, single-slot PCIe*

68.90 mm x 167.65 mm

VPU memory

4 Gb LPDDR4 POP

4 Gb LPDDR4 POP

4 Gb LPDDR4 POP

Minimum system configuration

 

Intel Atom® x7 processor E3950

8 GB LPDDR4, 64 GB eMMC

USB 3.0, M.2 2230 connector

Intel Atom x7 processor E3950

8 GB LPDDR4, 64 GB eMMC

USB 3.0, M-PCIe connector

Intel® Core™ i5 processor 6500TE

8 GB RAM, 500 GB HDD

USB 3.0

2 - PCIe x4 x8 x16 connectors

Typical operating system

 

Ubuntu* 16.04 LTS 64 bit

Ubuntu 16.04 LTS 64 bit

Ubuntu 16.04 LTS 64 bit

Tools

Intel® Distribution of OpenVINO™ toolkit

Intel Distribution of OpenVINO toolkit

Intel Distribution of OpenVINO toolkit

Intel® Distribution of OpenVINO™ Toolkit

  • Enable deep learning inference on the edge based on convolutional neural networks.
  • Support for heterogeneous execution across various accelerators—CPU, GPU, Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU), and FPGA—using a common API.
  • Speed up time to market via a library of functions and preoptimized kernels.
  • Preinstalled models are included with release 5.

Training | Documentation | Forum | Get Started

Free Download

Hardware

IoT Developer Kits Supporting Intel® Movidius™ Vision Processing Unit (VPU)

Developer Kits Based on 8th Generation Intel® Core™ Processors

IEI* TANK AIoT Developer Kit (Intel Core Processor)

IEI TANK AIoT Developer Kit (Intel® Xeon® Processor)

Uzel Bluzer Developer Kit  (Only available for purchase in China.)

Intel Vision Accelerator Design

Suppliers

With 1 Intel Movidius VPU

With 2 Intel Movidius VPUs

With 8 Intel Movidius VPUs

AAEON*

UP* AI Core X

UP AI Core XM 2280

UP AI Core XP8

ADLINK*

 

EDL-mPCIe-MA2485

 

Advantech*

VEGA-320

VEGA-330

 

IEI

Mustang-M2AE-MX1

Mustang-M2BM-MX2

Mustang-MPCIE-MX2

Mustang-V100-MX8-R10

JWIPC* 

 

AI Accelerator Card

 

NEXCOM*

 

 

AIBooster-X8

Uzel*

 

UI-AL2

UI-AR8