Technical Specifications
A Plug and Play Development Kit for AI Inferencing
- Build and scale with exceptional performance per watt per dollar 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
https://software.intel.com/en-us/neural-compute-stick
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)
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.
