Privacy and Cookie Information:
This website uses cookies for tracking visitor behavior, for linking to social media icons and displaying videos. More information on how we deal with your privacy, please check our Privacy & Cookies statement.
Please remember that if you do choose to disable cookies, you may find that certain sections of our website do not work properly.

MyAdvantech Registration

MyAdvantech is a personalized portal for Advantech customers. By becoming an Advantech member, you can receive latest product news, webinar invitations and special eStore offers.

Sign up today to get 24/7 quick access to your account information.

VEGA-4000
VEGA-4000 Xilinx Ultrascale+ FPGA Accelerator for Video Processing

  • High performance Xilinx Ultrascale+ FPGA (XCVU9P)
  • 16GB DDR4 memory in 4-Ch configuration w/ ECC support
  • PCIe Gen-3 x16 host interface
  • Low Profile form factor
  • Up to 75W slot power consumption
  • Fully Xilinx SDAccel supported
VEGA-4000 is an FPGA-based low profile PCI Express card which is ideal for accelerating machine learning, data analytics and live video processing applications both in appliances and in scale-out data center servers. As user-generated video content streaming becomes more and more pervasive, there is a corresponding service demand to analyze and classify this content in real time to ensure compliance to rules and to allow further innovative applications to be developed. The resulting processing workloads are both rapidly escalating and rapidly evolving, so the need of processing acceleration and flexibility is crucial. The latest generation of Field Programmable Gate Arrays (FPGAs) from Xilinx offers this acceleration while retaining future-proof reconfigurable capability; and Advantech’s new VEGA-4000 can provide access to this technology in a deployable PCI Express form factor, reducing development risk and gaining a time-to-market advantage. The VEGA-4000 is fully supported by the Xilinx SDAccel development environment with FFMPEG integration, and Xilinx also offers optimized support libraries for several Deep Neural Network frameworks including Caffe and Mxnet, with support for TensorFlow coming soon. Advantech can also offer custom development support services for VEGA-4000 including FPGA IP provision and system integration, and the board can be delivered already preintegrated in a range of server platforms. Please contact your Advantech representative for more details.

Product Specifications Download Spec

  • Part Number
  • Details
Feature
  • Operating System
  • Development Kits
Physical Characteristics
  • Interface
  • Power Consumption
  • Dimensions (W x D)
Environment
  • Temperature (Operating)
  • Temperature(Non-Operating)
  • Operating Humidity
  • Non-operating Humidity

Feature

  • Operating System

    VEGA-4000-X0A1 Linux Drivers Support
    VEGA-4000-X0A0 Linux Drivers Support
  • Development Kits

    VEGA-4000-X0A1 SDAccel Support FFmpeg/ 3rd party Intellectual Property Blocks
    VEGA-4000-X0A0 SDAccel Support FFmpeg/ 3rd party Intellectual Property Blocks

Physical Characteristics

  • Interface

    VEGA-4000-X0A1 PCI Express Gen3 x16
    VEGA-4000-X0A0 PCI Express Gen3 x16
  • Power Consumption

    VEGA-4000-X0A1 Up to 75W
    VEGA-4000-X0A0 Up to 75W
  • Dimensions (W x D)

    VEGA-4000-X0A1 PCI Express Half Length Half Height/ 167.65 x 56 mm
    VEGA-4000-X0A0 PCI Express Half Length Half Height/ 167.65 x 56 mm

Environment

  • Temperature (Operating)

    VEGA-4000-X0A1 0 to 40 degrees Celsius
    VEGA-4000-X0A0 0 to 40 degrees Celsius
  • Temperature(Non-Operating)

    VEGA-4000-X0A1 0 to 40 degrees Celsius
    VEGA-4000-X0A0 0 to 40 degrees Celsius
  • Operating Humidity

    VEGA-4000-X0A1 50 to 90% (non-condensing)
    VEGA-4000-X0A0 50 to 90% (non-condensing)
  • Non-operating Humidity

    VEGA-4000-X0A1 50 to 95% (non-condensing)
    VEGA-4000-X0A0 50 to 95% (non-condensing)

Need more info? Talk to our Online Rep!