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Accelerating Video Innovation

Advantech VEGA Video Solutions

Video Intelligence

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VEGA-4000 VEGA-4001 VEGA-550

(Xilinx Virtex UltraScale+ / Zynq UltraScale+ based)

As user-generated video content and video surveillance 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. Advantech’s new series of reconfigurable video intelligence accelerators can address this need with the development environment and hardware assist necessary for deploying advanced and efficient neural networks, machine learning algorithms and creative video analysis applications.

VEGA FPGA Boards for Video Content Analysis

VEGA-4000 VEGA-4001 VEGA-550

FPGA Xilinx Virtex® UltraScale+ XCVU9P FPGA

2 x Xilinx Virtex® UltraScale+ XCVU9P FPGA

4 x Xilinx Zynq® UltraScale+ ZU7EV MPSoC

Memory per FPGA 16GB DDR4-2400 memory (4GB x 4-ch)

16GB DDR4-2400 memory per XCVU9P (4GB x 4-ch each)

8GB DDR-4 2400 (PS side) and 8GB DDR4-2666 (PL side) per ZU7EV

Form Factor PCIe Gen-3 x16 low-profile form-factor

PCIe Gen-3 x16 full-height, 10.5" length double width form-factor

PCIe Gen-3 x16 full-height, 10.5" length double width form-factor

Power Up to 75W power consumption with fanless or fan-assisted heatsink

Up to 225W power consumption with fanless or fan-assisted heatsink

Up to 150W power consumption with fanless heatsink

Target Application Adding FPGA-based ML acceleration to scale out servers or appliances

Combining full ML and other video processing acceleration in a

single slot

High density hardware-based video decoding and encoding with analytics