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VEGA-550
Reconfigurable Video Content Intelligence Accelerator

  • Four high flexible Xilinx Zynq UltraScale+ ZU7EV MPSoC
  • 8GB+8GB DDR4 w/ ECC for each FPGA device
  • PCIe Gen 3 x16 host interface
  • GPU card size form factor
  • Up to 150W slot power consumption
As more and more video analytics solutions has been used in different application. Advantech VEGA-500 series product provides an ideal platform with video codec and programmable logics integrated for video intelligence applications. VEGA-550 can decode/encode up to 32-ch 1080p30 video streams simultaneously and pass the decoded video to programmable logic for further video intelligence applications.

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Featured Highlights

  • FPGA Platforms for Fastest Deep Learning Inference

    FPGA Platforms for Fastest Deep Learning Inference

    Advantech‘s VEGA Series of Xilinx FPGA-based PCI Express cards have been designed to accelerate AI deep learning workloads, offering a range of integration options to suit customer needs. In particular, the range focuses on the needs of video-based, real-time AI inference applications at the edge where fastest video processing is critical.