XCZU7EV-3FFVF1517E
| Parameters | |
|---|---|
| Factory Lead Time | 1 Week |
| Package / Case | 1517-BBGA, FCBGA |
| Operating Temperature | 0°C~100°C TJ |
| Packaging | Tray |
| Published | 2016 |
| Series | Zynq® UltraScale+™ MPSoC EV |
| 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 | 464 |
| Speed | 600MHz, 1.5GHz |
| RAM Size | 256KB |
| Core Processor | Quad 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, 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? core processor(s).
A core processor(s) Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight? is integrated into this SoC.Manufacturer assigns package 1517-BBGA, FCBGA to this system on a chip.As this SoC chip has 256KB RAM implemented, it provides reliable performance to its users.The internal architecture of this SoC design utilizes the MCU, FPGA technique.Zynq? UltraScale+? MPSoC EV is the series in which this system on chip SoC falls under.In general, this SoC meaning should operate at a temperature of 0°C~100°C TJ on a regular basis.This SoC security combines Zynq?UltraScale+? FPGA, 504K+ Logic Cells, an important feature to keep in mind.A state-of-the-art Tray package houses this SoC system on a chip.In total, this SoC part has 464 I/Os.
Quad 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.
XCZU7EV-3FFVF1517E System On Chip (SoC) applications.
- AC-input BLDC motor drive
- Level
- Automated sorting equipment
- Remote control
- Microcontroller
- Efficient hardware for inference of neural networks
- Smart appliances
- Fitness
- Mobile market
- Communication network-on-Chip (cNoC)
