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XCZU9CG-2FFVC900I

-40°C~100°C TJ System On ChipZynq? UltraScale+? MPSoC CG Series 204 I/O

Manufacturer: Xilinx Inc.
Origchip NO: 903-XCZU9CG-2FFVC900I
Package: 900-BBGA, FCBGA
Datasheet: PDF
Stock: 546
Description: -40°C~100°C TJ System On ChipZynq? UltraScale+? MPSoC CG Series 204 I/O(Kg)

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Details

Tags

Parameters
Factory Lead Time	11 Weeks
Package / Case	900-BBGA, FCBGA
Operating Temperature	-40°C~100°C TJ
Packaging	Tray
Series	Zynq® UltraScale+™ MPSoC CG
Part Status	Active
Moisture Sensitivity Level (MSL)	4 (72 Hours)
Number of I/O	204
Speed	533MHz, 1.3GHz
RAM Size	256KB
Core Processor	Dual ARM® Cortex®-A53 MPCore™ with CoreSight™, Dual ARM®Cortex™-R5 with CoreSight™
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, 599K+ Logic Cells
RoHS Status	ROHS3 Compliant

This SoC is built on Dual ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight? core processor(s).

On this SoC, there is Dual ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight? core processor.The manufacturer assigns this system on a chip with a 900-BBGA, FCBGA package.As this SoC chip has 256KB RAM implemented, it provides reliable performance to its users.As far as its internal architecture is concerned, this SoC design employs the MCU, FPGA technique.It is part of the Zynq? UltraScale+? MPSoC CG series of system on a chips.This SoC meaning should have an average operating temperature of -40°C~100°C TJ when it is operating normally.One important thing to mark down is that this SoC meaning combines Zynq?UltraScale+? FPGA, 599K+ Logic Cells.In the state-of-the-art Tray package, this SoC system on a chip is housed.204 I/Os are included in this SoC part.

Dual ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight? processor.

256KB RAM.
Built on MCU, FPGA.

There are a lot of Xilinx Inc.

XCZU9CG-2FFVC900I System On Chip (SoC) applications.

Industrial automation devices
Mobile computing
Temperature Sensors
Apple smart watch
Medical Pressure
Efficient hardware for training of neural networks
Three phase UPS
Networked sensors
ARM processors
Mobile market