Parameters |
Factory Lead Time |
1 Week |
Package / Case |
484-BFBGA, FCBGA |
Operating Temperature |
-40°C~100°C TJ |
Packaging |
Tray |
Published |
2016 |
Series |
Zynq® UltraScale+™ MPSoC EG |
Part Status |
Active |
Moisture Sensitivity Level (MSL) |
4 (72 Hours) |
HTS Code |
8542.31.00.01 |
Peak Reflow Temperature (Cel) |
NOT SPECIFIED |
Time@Peak Reflow Temperature-Max (s) |
NOT SPECIFIED |
Number of I/O |
82 |
Speed |
500MHz, 600MHz, 1.2GHz |
RAM Size |
256KB |
Core Processor |
Quad ARM® Cortex®-A53 MPCore™ with CoreSight™, Dual ARM®Cortex™-R5 with CoreSight™, ARM Mali™-400 MP2 |
Peripherals |
DMA, WDT |
Connectivity |
CANbus, EBI/EMI, Ethernet, I2C, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
Architecture |
MCU, FPGA |
Primary Attributes |
Zynq®UltraScale+™ FPGA, 154K+ Logic Cells |
RoHS Status |
ROHS3 Compliant |
This SoC is built on Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 core processor(s).
A Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 core processor(s) is built into this SoC.Package 484-BFBGA, FCBGA is assigned to this system on a chip by the manufacturer.The SoC chip provides users with reliable performance because it is implemented with 256KB RAM.The internal architecture of this SoC design is based on the MCU, FPGA technique.Zynq? UltraScale+? MPSoC EG is the series number of this system on chip SoC.It is recommended that this SoC meaning be operated at -40°C~100°C TJ on an average.A significant feature of this SoC security is the combination of Zynq?UltraScale+? FPGA, 154K+ Logic Cells.It comes in a state-of-the-art Tray package.This SoC part contains a total of 82 I/Os in total.
Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 processor.
256KB RAM.
Built on MCU, FPGA.
There are a lot of Xilinx Inc.
XCZU3EG-1SBVA484I System On Chip (SoC) applications.
- Wireless networking
- Samsung galaxy gear
- Personal Computers
- Remote control
- Deep learning hardware
- Healthcare
- DC-input BLDC motor drive
- Functional safety for critical applications in the industrial sectors
- POS Terminals
- PC peripherals