XCZU7CG-1FBVB900E
| 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 CG |
| 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, 1.2GHz |
| RAM Size | 256KB |
| Core Processor | Dual 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 Dual ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight? core processor(s).
This SoC is built on Dual ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight? core processor(s).The manufacturer assigns this system on a chip with a 900-BBGA, FCBGA package as per the manufacturer's specifications.With 256KB RAM implemented, this SoC chip provides users with reliable performance.The SoC design uses MCU, FPGA architecture for its internal architecture.In the Zynq? UltraScale+? MPSoC CG series, this system on chip SoC is included.This SoC meaning should have an average operating temperature of 0°C~100°C TJ when it is operating normally.This SoC security combines Zynq?UltraScale+? FPGA, 504K+ Logic Cells, an important feature to keep in mind.An advanced Tray package houses this SoC system on a chip.An integral part of this SoC consists of a total of 204 I/Os.
Dual 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.
XCZU7CG-1FBVB900E System On Chip (SoC) applications.
- POS Terminals
- Servo drive control module
- Networked sensors
- Optical drive
- Central inverter
- RISC-V
- Robotics
- Self-aware system-on-chip (SoC)
- Smart appliances
- Efficient hardware for training of neural networks
