Siraj Raval, YouTube star and bestselling author, inspires & educates developers to create deep learning applications with Intel.
Where to Buy
Order your Intel Movidius Neural Compute Stick today from one of our online partners.
What is the Intel® Movidius™ Neural Compute Stick?
The Intel® Movidius™ Neural Compute Stick (NCS) is a tiny fanless deep learning device that you can use to learn AI programming at the edge. NCS is powered by the same low power high performance Intel Movidius Vision Processing Unit (VPU) that can be found in millions of smart security cameras, gesture controlled drones, industrial machine vision equipment, and more.
Learn What You Can Do With The NCS
ColdFusion demonstrates the power of the Intel Movidius Neural Compute Stick, which enables rapid prototyping, validation and deployment of Deep Neural Network (DNN) inference applications at the edge. Its low-power VPU architecture enables an entirely new segment of AI applications that are not reliant on a connection to the cloud.
The NCS combined with Intel Movidius Neural Compute SDK allows deep learning developers to profile, tune, and deploy Convolutional Neural Network (CNN) on low-power applications requiring real-time inferencing.
See What's Inside! Introducing the Intel® Movidius™ Myriad™ 2 VPU
The Intel® Movidius™ Myriad™ 2 VPU is the industry's first always-on vision processor. It delivers high-performance machine vision and visual awareness in severely power-constrained environments.
Technical Specifications
Processor
Intel® Movidius™ VPU
Supported Frameworks
TensorFlow™, Caffe
Connectivity
USB 3.0 Type-A
Dimensions
USB stick (72.5mm X 27mm X 14mm)
Operating Temp
0° - 40° C
Minimum system requirements
x86_64 computer running Ubuntu* 16.04 or
Raspberry Pi 3 Model B running Stretch desktop or
Ubuntu* 16.04 VirtualBox instance,
USB 2.0 Type-A port (Recommend USB 3.0),
1GB RAM,
4GB free storage space
Raspberry Pi 3 Model B running Stretch desktop or
Ubuntu* 16.04 VirtualBox instance,
USB 2.0 Type-A port (Recommend USB 3.0),
1GB RAM,
4GB free storage space
Compatible Software
Software Development Kits:
Intel® Open VINO: The OpenVINO™ (Open Visual Inference & Neural network Optimization) toolkit is designed to fast-track development of high-performance computer vision solutions and deliver fast, efficient deep learning workloads across Intel silicon platforms.
Android NN API: The Android Neural Networks API is a new Android C API introduced in Android 8.1 to run computation intensive operations required by most machine learning frameworks (e.g. TensorFlow Lite and Caffe) to build and train neutral networks on Android platforms.