Empower the Development of Convolutional Neural Networks
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.)
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).
- 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)