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VEGA-540
Reconfigurable Video Content Intelligence Accelerator

  • Xilinx Zynq UltraScale+ ZU7EV MPSoC
  • 4GB+4GB DDR4 w/ ECC
  • PCIe Gen 3 x16 host interface
  • Low profile form factor
  • Under 40W power consumption
VEGA-540 is a FPGA(MPSoC)-based low profile PCI Express card. VEGA-540, as a high-performance, high-bandwidth, low-latency, and low-power consumption AI accelerator, provides an ideal platform with video codec and programmable logic integrated for machine learning inference, video transcoding, etc.

Product Specifications Download Spec

  • Part Number
  • Details
FPGA
  • Zynq UltraScale+ XCZU7EV MPSoC
Physical Characteristics
  • Interface
  • Low Profile
  • Power Consumption
Memory
  • DDR4
Storage
  • eMMC
  • QSPI
  • Ethernet Port (RJ45)
I/O
  • USB3.0
  • USB console (UART to USB)
  • JTAG
  • Display Port (mini)
Integrated IP
  • Video Codec Unit (VCU)
Environment
  • Operating Temperature
  • Temperature(Non-Operating)
  • Operating Humidity
  • Non-operating Humidity

FPGA

  • Zynq UltraScale+ XCZU7EV MPSoC

    VEGA-540-I4A0 1

Physical Characteristics

  • Interface

    VEGA-540-I4A0 PCI Express Gen3 x16
  • Low Profile

    VEGA-540-I4A0 64.4 x 167.65 mm
  • Power Consumption

    VEGA-540-I4A0 40W

Memory

  • DDR4

    VEGA-540-I4A0 4GB DDR4-2400 64-bit + ECC to processing system (PS) 4GB DDR4-2666 64bit + ECC to programmable logic (PL)

Storage

  • eMMC

    VEGA-540-I4A0 8GB X 1
  • QSPI

    VEGA-540-I4A0 32MB x 1
  • Ethernet Port (RJ45)

    VEGA-540-I4A0 1

I/O

  • USB3.0

    VEGA-540-I4A0 1
  • USB console (UART to USB)

    VEGA-540-I4A0 1
  • JTAG

    VEGA-540-I4A0 1
  • Display Port (mini)

    VEGA-540-I4A0 1

Integrated IP

  • Video Codec Unit (VCU)

    VEGA-540-I4A0 4:2:2 10-bit 4Kp60

Environment

  • Operating Temperature

    VEGA-540-I4A0 0 to 50 degrees Celsius
  • Temperature(Non-Operating)

    VEGA-540-I4A0 -40 to 85 degrees Celsius
  • Operating Humidity

    VEGA-540-I4A0 50 to 95% (non-condensing)
  • Non-operating Humidity

    VEGA-540-I4A0 50 to 95% (non-condensing)

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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.