| Parameters |
| Factory Lead Time |
11 Weeks |
| Package / Case |
1156-BBGA, FCBGA |
| Operating Temperature |
0°C~100°C TJ |
| Packaging |
Tray |
| Published |
2013 |
| Series |
Zynq® UltraScale+™ MPSoC EG |
| Pbfree Code |
yes |
| 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 |
328 |
| Speed |
533MHz, 600MHz, 1.3GHz |
| 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, 599K+ 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).
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).It has been assigned a package 1156-BBGA, FCBGA by its manufacturer for this system on a chip.A SoC chip with 256KB RAM is provided for users to enjoy reliable performance.A MCU, FPGA technique is used for the SoC design's internal architecture.The Zynq? UltraScale+? MPSoC EG series contains this system on chip SoC.It is expected that this SoC meaning will operate at 0°C~100°C TJ on average.This SoC security combines Zynq?UltraScale+? FPGA, 599K+ Logic Cells and that is something to note.Housed in the state-of-art Tray package.This SoC part contains a total of 328 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.
XCZU9EG-2FFVB1156E System On Chip (SoC) applications.
- Robotics
- RISC-V
- Personal Computers
- Cyber security for critical applications in the aerospace
- System-on-chip (SoC)
- Networked sensors
- Efficient hardware for inference of neural networks
- Industrial automation devices
- Automated sorting equipment
- Multiprocessor system-on-chips (MPSoCs)