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www.video-acceleration.com
Powered by Xilinx Ultrascale+ FPGAs and MPSoCsPowered by
Accelerating Video Innovation
Advantech VEGA Video Solutions
Video Intelligence
woman
man
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