Intel® Neural Compute Stick 2

Intel® Neural Compute Stick 2

https://software.intel.com/en-us/neural-compute-stick
https://software.intel.com/zh-cn/neural-compute-stick

Intel Movidius
https://www.movidius.com/

Intel® Neural Compute Stick 2
英特尔® 神经计算棒 2

More Cores. More AI Inference.
更多内核。更强的人工智能推理。

Powered by the Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU)
由英特尔® Movidius™ Myriad™ X 视觉处理器 (VPU) 驱动

Intel Movidius 神经计算棒 (Intel® Neural Compute Stick 1) 人民币 599
Intel Movidius 神经计算棒 (Intel® Neural Compute Stick 2) 人民币 749

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.
利用一款专为新一代智能设备而设计的小巧、无风扇深度学习开发套件，使深度神经网络 (DNN) 应用的原型制作和部署更智能、更高效。

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).
全新改进的英特尔® 神经计算棒 2 搭载英特尔最新的高性能视觉处理器：英特尔® Movidius™ Myriad™ X VPU。 英特尔® 神经计算棒 2 具备更多的计算内核及专用于深度神经网络推理的硬件加速器，其性能比上一代英特尔® Movidius™ 神经计算棒提升达八倍。

INTEL® NEURAL COMPUTE STICK IN ACTION

Machine Learning and Mammography
https://software.intel.com/en-us/articles/machine-learning-and-mammography

AI Helps with Skin Cancer Screening
https://software.intel.com/en-us/articles/ai-helps-with-skin-cancer-screening

AI-Driven Test System Detects Bacteria in Water
https://software.intel.com/en-us/articles/ai-driven-test-system-detects-bacteria-in-water

ACCELERATE DEEP LEARNING AT THE NETWORK EDGE

Empower the Development of Convolutional Neural Networks
促进卷积神经网络的开发

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.)
英特尔® 神经计算棒 2 与英特尔® Distribution of OpenVINO™ 工具套件相配合，促使深度学习开发人员能够在要求实时推理的低功耗应用上测评、调优和部署卷积神经网络 (CNN)。 推进高性能计算机视觉解决方案的开发，在英特尔® 平台上实现迅速而高效的深度学习工作负载。(这同样适用于英特尔® Movidius™ 神经计算棒。)

DEVELOP MULTIPLATFORM COMPUTER VISION SOLUTIONS
https://software.intel.com/en-us/openvino-toolkit

Transitioning from Intel® Movidius™ Neural Compute SDK to Intel® Distribution of OpenVINO™ toolkit
https://software.intel.com/en-us/articles/transitioning-from-intel-movidius-neural-compute-sdk-to-openvino-toolkit

Technical Specifications

• 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)
• 尺寸：72.5 毫米 x 27 毫米 x 14 毫米 (2.85 英寸 x 1.06 英寸 x 0.55 英寸)
• 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)

TRUSTED, PROVEN TECHNOLOGY INSIDE

内置可信而成熟的技术

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.
英特尔® Movidius™ Myriad™ X VPU 是最新一代的英特尔® VPU。它包含 16 个强大的处理内核 (称为 SHAVE 内核)，以及一个专用于高性能视觉和人工智能推理应用的深度神经网络硬件加速器 - 所有这些都以低功耗运行。

Intel® Movidius™ Neural Compute Stick

英特尔® Movidius™ 神经计算棒

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.
上一代神经计算棒使边缘处的深度学习原型制作发生了革命性剧变。基于英特尔® Movidius™ Myriad™ 2 视觉处理器 (VPU) 的、相同的高性能永不间断的英特尔® Movidius™ 视觉处理器 (VPU)，在当今市场上数以百万计的智能保安摄像头、手势控制无人机、工业机器视觉设备和其他产品中使用。

ACCELERATE DEEP LEARNING DEVELOPMENT AT THE EDGE
https://software.intel.com/en-us/movidius-ncs

Disclaimer
免责声明

¹ Testing by Intel as of October 12, 2018
¹ 由英特尔于 2018 年 10 月 12 日测试

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.
深度学习工作负载配置：对基于英特尔® Movidius™ Myriad™ 2 视觉处理器 (VPU) 的英特尔® Movidius™ 神经计算棒及基于英特尔® Movidius™ Myriad™ X 视觉处理器 (VPU) 的英特尔® 神经计算棒 2 进行比较，两种神经计算引擎均启用了异步插件。 按每秒钟跨越 GoogLeNet V1 和 Tiny YOLO* V1 的图像数测定。

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
基础系统配置：英特尔® 酷睿™ i7 处理器 8700K，95 W TDP (6C12T 于 3.7 GHz 基础频率和 4.7 GHz 最大超频)。 显卡：英特尔® 超高清显卡 630，总内存 65830088 kB，存储：英特尔® 固态盘 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.
性能测试中使用的软件和工作负载可能仅在英特尔® 微处理器上进行了性能优化。

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.
性能测试 (如 SYSmark* 和 MobileMark*) 使用特定的计算机系统、组件、软件、操作系统和功能进行测量。对这些因素的任何更改可能导致不同的结果。您应该查询其它信息和性能测试以帮助您对正在考虑的购买作出全面的评估，包括该产品在与其它产品结合使用时的性能。 有关更多完整信息，请访问基准。

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.
性能结果根据至 2018 年 10 月 12 日止的测试，不一定反映所有可公开获得的安全更新。 有关详细信息，请参阅配置。没有产品是绝对安全的。