Intel® Neural Compute Stick 2
(Intel® NCS2)


A Plug and Play Development Kit for AI Inferencing

  • Build and scale on the Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU)
  • Start developing quickly on Windows® 10 or Ubuntu*
  • Develop on common frameworks and out-of-the-box sample applications
  • Operate without cloud compute dependence
  • Prototype with low-cost edge devices such as Raspberry Pi* 3 and other ARM* host devices

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Previous Version: Intel® Movidius™ Neural Compute Stick (NCS)

Overview

Discover Efficiencies

Exceptional performance per watt takes machine vision to new places.

Boost Productivity

Accelerate deep neural network (DNN) applications with versatile hardware.

Simplify Prototyping

Streamline development using the Intel® Distribution of OpenVINO™ toolkit .

Technical Specifications

Hardware

  • Processor: Intel Movidius Myriad X Vision Processing Unit (VPU)
  • Supported frameworks: TensorFlow*, Caffe*, Apache MXNet*, Open Neural Network Exchange (ONNX*), PyTorch*, and PaddlePaddle* via an ONNX conversion
  • Connectivity: USB 3.0 Type-A
  • Dimensions: 2.85 in. x 1.06 in. x 0.55 in. (72.5 mm x 27 mm x 14 mm)
  • Operating temperature: 0° C to 40° C

Software

  • Intel Distribution of OpenVINO toolkit
  • Supported operating systems:
    • Ubuntu 16.04.3 LTS (64 bit)
    • CentOS* 7.4 (64 bit)
    • Windows 10 (64 bit)
    • Raspbian (target only)
    • Other (via the open source distribution of OpenVINO™ toolkit)

Product Brief

Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU)

The latest generation of Intel® VPUs includes 16 powerful processing cores (called SHAVE cores) and a dedicated deep neural network hardware accelerator for high-performance vision and AI inference applications—all at low power.

schematic drawing of the Intel Movidius Myriad X V P U

Intel Distribution of OpenVINO Toolkit

Use the Intel NCS2 to develop, fine-tune, and deploy convolutional neural networks (CNNs) on low-power applications that require real-time inferencing.

  • Deep learning inference at the edge
  • Pretrained models on Open Model Zoo
  • A library of functions and preoptimized kernels for faster delivery to market
  • Support for heterogeneous execution across computer vision accelerators—CPU, GPU, VPU, and FPGA—using a common API
  • Raspberry Pi hardware support

 Learn More  Training Code Samples Free Download  

Documentation

Warranty Support & Regulatory Information

Consult the Intel Neural Compute Stick 2 support for initial troubleshooting steps. If the issue persists, follow these instructions to obtain warranty support:

  • For purchases made from a distributor less than 30 days from the time of the warranty support request, contact the distributor where you made the purchase.
  • For purchases made directly from Intel or from a distributor more than 30 days from the time of the warranty support request, contact Intel Warranty Support. Note You will need to create a support account if you do not have one.

Warranty Support 
Support
Regulatory Documentation