XCZU11EG-2FFVB1517I
| Parameters | |
|---|---|
| Factory Lead Time | 1 Week |
| Package / Case | 1517-BBGA, 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 | 488 |
| 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, 653K+ 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).
Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 core processor(s) are used in the construction of this SoC.There is a 1517-BBGA, FCBGA package assigned to this system on a chip by the manufacturer.This SoC chip is equipped with 256KB RAM and guarantees reliable performance to the user.A MCU, FPGA technique is used for the SoC design's internal architecture.A system on chip SoC of this type belongs to the Zynq? UltraScale+? MPSoC EG series.Typical operating temperatures for this SoC meaning should be -40°C~100°C TJ.One important thing to mark down is that this SoC meaning combines Zynq?UltraScale+? FPGA, 653K+ Logic Cells.It comes in a state-of-the-art Tray package.488 I/Os are available in this SoC part.
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.
XCZU11EG-2FFVB1517I System On Chip (SoC) applications.
- POS Terminals
- Healthcare
- Automotive
- Industrial automation devices
- Medical
- Efficient hardware for inference of neural networks
- Industrial robot
- Smart appliances
- Networked sensors
- Body control module
