Bringing computer vision and artificial intelligence to your IoT and edge device prototypes is now easier than ever with the enhanced capabilities of the new Intel® Neural Compute Stick 2 (Intel® NCS 2). Whether you’re developing a smart camera, a drone with gesture-recognition capabilities, an industrial robot, or the next, must-have smart home device, the Intel NCS2 offers what you need to prototype smarter. What looks like a standard USB thumb drive hides much more inside. It’s built on the latest Intel® Movidius™ Myriad™ X VPU which features the neural compute engine—a dedicated hardware accelerator for deep neural network inferences. With more compute cores than the original version and access to the Intel® Distribution of OpenVINO™ toolkit, the Intel NCS 2 delivers 8X performance boost over the previous generation.1.
With the Intel® Distribution of OpenVINO™ toolkit, the Intel® NCS 2 empowers deep learning developers to profile, tune, and deploy convolutional neural networks (CNNs) on low-power applications that require real-time inferencing. Advance the rapid development of high-performance computer vision solutions to enable fast, efficient deep learning workloads on Intel® platforms. (This also works with the Intel® Movidius Neural Compute Stick.)
IoT Solution Application
Introducing The Intel® Neural Compute Stick 2 (Intel® Ncs 2)
Prototype and deploy deep neural network (DNN) applications smarter and more efficiently with a tiny, fanless, deep learning development kit designed to enable a new generation of intelligent devices.
The new, improved Intel® Neural Compute Stick 2 (Intel® NCS 2) features Intel’s latest high-performance vision processing unit: the Intel® Movidius™ Myriad™ X VPU. With more compute cores and a dedicated hardware accelerator for deep neural network inference, the Intel® NCS 2 delivers up to eight times the performance boost compared to the previous generation Intel® Movidius™ Neural Compute Stick (NCS).
IoT Solution Specification
- Processor: Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU)
- Supported frameworks: TensorFlow* and Caffe*
- 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
- Compatible operating systems: Ubuntu* 16.04.3 LTS (64 bit), CentOS* 7.4 (64 bit), and Windows® 10 (64 bit)