Parameters |
Factory Lead Time |
1 Week |
Package / Case |
1760-BBGA, FCBGA |
Operating Temperature |
0°C~100°C TJ |
Packaging |
Tray |
Published |
2016 |
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 |
308 |
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, 926K+ 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).The manufacturer assigns this system on a chip with a 1760-BBGA, FCBGA package.With 256KB RAM implemented, this SoC chip provides reliable operation.Using the MCU, FPGA technique, this SoC design's internal architecture is simple.The Zynq? UltraScale+? MPSoC EG series contains this system on chip SoC.The average operating temps for this SoC meaning should be 0°C~100°C TJ.A key point to note is that this SoC security combines Zynq?UltraScale+? FPGA, 926K+ Logic Cells.An advanced Tray package houses this SoC system on a chip.This SoC part contains a total of 308 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.
XCZU17EG-2FFVD1760E System On Chip (SoC) applications.
- Communication interfaces ( I2C, SPI )
- Smart appliances
- Central inverter
- USB hard disk enclosure
- Embedded systems
- Smartphone accessories
- External USB hard disk/SSD
- POS Terminals
- Efficient hardware for training of neural networks
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