Intel® Distribution of OpenVINO™ Toolkit
Intel NCS2
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
New Features
Explore the latest features and release notes for the toolkit.
- Includes Deep Learning Workbench
- Supports multidevice inference for load balancing
- Offers binary distribution methods via package managers and Docker* containers
- Provides new inference engine centric APIs
- Supports serialized FP16 Intermediate Representation
- Explore use cases for machine translation, natural language processing, and more
Release Notes
Intel® Developer Cloud for the Edge
Test virtually using Intel® Developer Cloud for the Edge. Quickly prototype and develop AI applications in the cloud using the latest Intel® hardware and software tools.
Technical Specifications
![](https://www.intel.com/content/dam/develop/public/us/en/images/hardware/hardware-movidius-ncs-gen2-16x9.png)
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)
- macOS 10.14.4 (or later)
- Raspbian (target only)
- Other (via the open source distribution of OpenVINO™ toolkit)
Product Brief
Datasheet
Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU)
![](https://www.intel.com/content/dam/develop/public/us/en/images/hardware/hardware-ncs-cad-illustration-w-myriadx-16x9.png)
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.
Plug-and-Play AI
![](https://www.intel.com/content/dam/develop/public/us/en/images/hardware/hardware-ncs2-board-16x9.jpg)
Prototype with low-cost edge devices, such as Raspberry Pi* and other Arm* host devices.
![](https://www.intel.com/content/dam/develop/public/us/en/images/hardware/hardware-ncs2-aionpc-16x9.jpg)
Build cutting-edge AI and machine learning into your PC applications with the Intel® NUC.
![](https://www.intel.com/content/dam/develop/public/us/en/images/hardware/hardware-ncs2-depth-sensing-cam-16x9.jpg)
Depth sensing meets plug-and-play edge inferencing with AI using an Intel® RealSense™ Depth Camera D400 series.
Take AI from Prototype to Production
Intel® AI: In Production centralizes resources and partner offers to help you through the process of delivering your solutions for AI at the edge.
Documentation
Transition from Intel® Movidius™ Neural Compute SDK (NCSDK) to Intel Distribution of OpenVINO Toolkit
Optimize Networks for the Intel NCS2
Intel Distribution of OpenVINO Toolkit Preview Support for Intel NCS2 on Raspbian
Intel NCS2 and Open Source OpenVINO Toolkit