Intel® Neural Compute Stick 2

More Cores.
More AI Inference.

 
Powered by the Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU)

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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).


graphical performance comparison between the Intel N C S 2 and the Intel Movidius N C S showing eight times the performance improvement

Intel® Neural Compute Stick In Action

Trusted, Proven Technology Inside

The Intel® Movidius™ Myriad™ X VPU is the latest generation of Intel® VPUs. It 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.

schematic drawing of the Intel Movidius Myriad X V P U
Previous generation of the Intel neural compute stick

Intel® Movidius™ Neural Compute Stick

The previous generation of this neural compute stick revolutionized deep learning prototyping at the edge. Based on the Intel® Movidius™ Myriad™ 2 Vision Processing Unit (VPU), the same high-performance, always-on Intel® Movidius™ Vision Processing Unit (VPU) found in millions of smart security cameras, gesture controlled drones, industrial machine vision equipment, and other products on the market today.

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Disclaimer:

1Testing by Intel as of October 12, 2018

Deep Learning Workload Configuration: Comparing Intel® Movidius™ Neural Compute Stick based on Intel® Movidius™ Myriad™ 2 Vision Processing Unit (VPU) versus Intel® Neural Compute Stick 2 based on the Intel® Movidius™ Myriad™ X Vision Processing Unit(VPU) with asynchronous plug-in enabled for two neural compute engines. As measured by images per second across GoogLeNet V1 and Tiny YOLO* V1.

Base System Configuration: Intel® Core™ i7 processor 8700K, 95 W TDP (6C12T at 3.7 GHz base frequency and 4.7 GHz maximum turbo frequency). Graphics: Intel® UHD Graphics 630, total memory 65830088 kB Storage: Intel® SSD SC2BB24 (240 GB), Ubuntu* 16.04.5 Linux* 4.15.0-36-generic-x86_64-with-Ubuntu-16.04-xenial, deeplearning_deploymenttoolkit_2018.0.14348.0, API version 1.2, Build 14348, myriadPlugin API, FP16, Batch Size = 1

Software and workloads used in performance tests may have been optimized for performance only on Intel® microprocessors.

Performance tests, such as SYSmark* and MobileMark*, are measured using specific computer systems, components, software, operations, and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit Benchmarks.

Performance results are based on testing as of October 12, 2018 and may not reflect all publicly available security updates. See configuration disclosure for details. No product can be absolutely secure.