GPU / VPU Accelerated Computing

Industrial Computing

Let us help you select the right system to drive your robotics, deep learning, video analytics, and machine vision applications. GPU Computing is redefining the limits of artificial intelligence, autonomous vehicles, drones, and robots.

CoastIPC can help you build the right GPU computing platform for computer-intensive applications such as deep learning and artificial intelligence, machine vision, robotics, and video analytics. Whether you need an edge GPU platform equipped with dual GPU slots or a GPU NVIDIA system ready to go out of the box, CoastIPC can deliver. We carry industrial PCs from leading manufacturers, offering systems featuring the NVIDIA Jetson, NVIDIA Tegra, NVIDIA Tegra X2, NVIDIA Nano, and NVIDIA AGX Xavier and more. 

We can also help with your vision processing unit (VPU) or Tensor Processing Unit (TPU) hardware. CoastIPC offers AI inference systems with expansion for VPU cards and TPU cards, or we can equip your device with a VPU/TPU to make it plug-and-play ready. Contact us today to learn more about our GPU, TPU, and VPU computing options.

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  1. MIC-7500 Advantech MIC-7500B Intel 6th Generation Core i Processor Compact Fanless System

    Advantech MIC-7500B Intel 6th Generation Core i Processor Compact Fanless System

    MIC-7500

    Main Features:

    •   Intel® 6th Generation Core™ i7/i5/i3 BGA type CPU with Intel QM170 PCH
    •   I-Module expansion module
    •   VGA & DVI Interface
    •   1 x 2.5" HDD/ 1 x CFast slot/ 1 x mSATA storage options
    •   2 Giga LAN and 8x USB 3.0
    •   2 x RS-232/422/485 & 2 x RS232 Serial ports
    •   Isolation COM module & 32bit GPIO module
    •   Supports wide power range of 9 ~ 36V DC input
    •   Supports wide range operating Temperature of -20° ~ 60° C
    •   Supports SUSIAccess and Embedded Software APIs
    Learn More
    PDF Document - MIC-7500B Data Sheet
    MIC-7500B Data Sheet
    (Size: 2.5 MB)
    PDF Document - MIC-7500B User Manual
    MIC-7500B User Manual
    (Size: 2.7 MB)

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