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Intel Neural Compute Stick 2, Movidius Myriad X VPU for EDGE Computing - NCSM2485.DK

Intel Neural Compute Stick 2,  Movidius Myriad X VPU for EDGE Computing - NCSM2485.DK
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Intel Neural Compute Stick 2, Movidius Myriad X VPU for EDGE Computing - NCSM2485.DK
₹​ 8,350.86
Ex Tax: ₹​ 7,077.00
ex. GST
  • Stock: In Stock
  • SKU: 2426
  • Weight: 0.20kg
  • B2B GST Credit Available
  • Delivery Time
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Intel® Neural Compute Stick 2 is powered by the Intel Movidius™ X VPU to deliver industry leading performance, wattage, and power. The NEURAL COMPUTE supports OpenVINO™, a toolkit that accelerates solution development and streamlines deployment. The Neural Compute Stick 2 offers plug-and-play simplicity, support for common frameworks and out-of-the-box sample applications. Use any platform with a USB port to prototype and operate without cloud compute dependence. The Intel NCS 2 delivers 4 trillion operations per second with 8X performance boost over previous generations.

The neural compute stick allows you to run computationally intensive algorithms locally which otherwise would require high end cloud computing resources. It makes an ideal choice for EDGE computing environment while keeping the power consumption to low. 


Find more information and development resources at Intel's product page 


  • Boost productivity
    • Reduce time to prototype or tune neural networks with versatile hardware processing capabilities at low cost
    • Enhanced hardware processing capabilities vs. the original Intel Movidius Neural Compute Stick
    • Take advantage of 16 cores instead of 12 plus a neural compute engine, a dedicated deep neural network accelerator
    • Up to 8X performance gain on deep neural network inference, depending on network
    • Affordability accelerate deep neural network applications
    • Transform the AI development kit experience
    • Plug and Play Simplicity
    • Affordable price point
    • Supports common frameworks and includes out-of-box and fast development

  • Discover efficiencies

    Eceptional performance per watt takes machine vision to new places

      Run "at the edge" without reliance on a cloud computing connection

        • Deep learning prototyping is now available on a laptop, a single board computer or any platform with a USB port
        • Accessible and affordable — take advantage of more performance per watt and highly efficient fanless design
        • Combine the hardware-optimized performance of the Intel® Movidius™ Myriad™ X VPU and the Intel® Distribution of OpenVINO" Toolkit to accelerate deep neural network-based applications
        • First in its class to feature the Neural Compute Engine — a dedicated hardware accelerator
        • 16 powerful processing cores, called SHAVE cores, and an ultrahigh throughput intelligent memory fabric together make the Intel Movidius Myriad X VPU the industry leader for on-device deep neural networks and computer vision applications
        • Featuring an entirely new deep neural network (DNN) inferencing engine on the chip

      • Simpler versatility for prototyping
        • Intel Distribution of OpenVINO toolkit streamlines the development experience
        • Prototype on the Intel Neural Compute Stick 2 and then deploy your deep neural network onto an Intel Movidius Myriad X VPU-based embedded device
        • Streamline the path to a working prototype
        • Extend workloads across Intel hardware and maximize performance
        • The robust, Intel Distribution of OpenVINO toolkit enables simpler porting and deployment of applications and solutions that emulate human vision
        • The Intel Distribution of OpenVINO toolkit streamlines development of multiplatform computer vision solutions — increasing deep learning performance
        • It's now easier to develop applications for heterogenous execution across the suite of Intel acceleration technologies. Develop once and deploy across Intel CPU, VPU, Integrated Graphics or FPGA.
        • If desired, users can implement their own custom layers and execute those on the CPU while the rest of the model runs on the VPU

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