Xilinx Zynq UltraScale+ MPSoC FPGA High-end FPGA Board

2 × ARM Cortex-A53 ，2 × ARM Cortex™-R5

ACU3CG core board is equipped with mali-400 MP2 GPU 16nm FinFET+ Programmable Logic Satisfy Network Communication, High-Speed Data Exchange and Storage Industrial Control, Deep Learning, AI Intelligence, Cloud Computing, 4K Video Transmission Processing, and Aerospace Applications

·ARM CPU

• 2 × ARM CORTEX-A53 + 2 × ARM CORTEX-R5

·2GB DDR4

• PS 2GB DDR4

·FLASH Storage

• 8GB EMMC FLASH、256Mbit QSPI FLASH

 

key Features

Corresponding Development Board

·AXU2CG-E

 

*Learn about the corresponding development board, Click to see details>>>>

 

Product Performance

Main Parameters

Core Board Chip

ACU2CG

FPGA Chip

 XCZU2CG-1SFVC784E

Processor Core

2x ARM Cortex™-A53，1.2GHz，双核 Cortex™-R5, 500MHz

GPU

  -

RAM

  PS  DDR4, 2GB, 64bit, 2400Mbps

QSPI FLASH

256Mbit

EMMC FLASH

  8GB

Speed Grades

-1

Chip Level

Commercial Grade

Working Temperature

-0°c~70°c

Logic Cells

103K

CLB Flip-Flops

94K

Look Up Tables (LUTs)

47K

DSP slice

240(18x25MACCs)

Block RAM

5.3Mb

HP I/O

96

HD I/O

84

 

Interface and Function

QSPI Flash

56Mbit QSPI FLASH, Used as FPGA User Data Storage

EMMC Flash

 8GB, Used as Large-Capacity Storage System

40-120 Pin Expansion Ports

Panasonic Industrial Grade High-Speed Inter-Board Connectors

Ｃrystal Oscillator

33.333MHz Provide for the PS system
200MHz Provide DDR Reference Clock for the PL Logic

 

Power Supply Parameters

Voltage Input

+5 V DC

 

Package List

FPGA SoM Board

1

 

 

 

Structure Size

Size Dimension

3.15 inch x 2.36 inch

Connector Height

0.12 Inch

Number of Layers

16-Layer Core Board PCB

 

 

 

        

      

XILINX VITIS-AI DPU

AI Recognition and Detection, Deep Computational Learning

Intelligent identification and detection, image and video processing, security monitoring, machine vision, fire monitoring, traffic safety, smart construction site, smart hotel, smart agriculture, Internet of things

Vehicle Identification

Infrared Vehicle Recognition

Pedestrian Recognition

Indoor Person Recognition

Fire Detection

Hard Hat Detection

Concrete Defect Detection

PCB Defect Detection

64bit DDR4 RAM

EG SoM-Industrial Grade Chip Dual ARM Application Processor

2x  ARM Cortex-A53，1.2GHz；2x Cortex™-R5， 500MHz；PS 2GB DDR4，64bit，Data rate 2400Mbps

Get Started Quickly ，Shorten Learning and Development Time

Provide Documents to Study

Provide Schematic, PCB, Size Dimension, Package and Reference Design, that to Accelerate the Development of products with Core Board