Parameters |
Factory Lead Time |
1 Week |
Package / Case |
900-BBGA, FCBGA |
Operating Temperature |
0°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 |
204 |
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, 504K+ 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).
Based on the core processor(s) Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2, this SoC is built.It has been assigned a package 900-BBGA, FCBGA by its manufacturer for this system on a chip.As this SoC chip has 256KB RAM implemented, it provides reliable performance to its users.Using the MCU, FPGA technique, this SoC design's internal architecture is simple.It is a member of the Zynq? UltraScale+? MPSoC EG series.For this SoC meaning, the average operating temperature should be 0°C~100°C TJ.It is important to note that this SoC security combines Zynq?UltraScale+? FPGA, 504K+ Logic Cells.There is a state-of-the-art Tray package that houses this SoC system on a chip.This SoC part contains a total of 204 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.
XCZU7EG-1FBVB900E System On Chip (SoC) applications.
- Communication network-on-Chip (cNoC)
- Mobile market
- Efficient hardware for inference of neural networks
- Fitness
- Avionics
- Multiprocessor system-on-chips (MPSoCs)
- Smartphones
- Special Issue Information
- Self-aware system-on-chip (SoC)
- Industrial automation devices