XCZU5EG-1SFVC784I
| Parameters | |
|---|---|
| Factory Lead Time | 11 Weeks |
| Package / Case | 784-BFBGA, 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 | 252 |
| 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, 256K+ 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).
A core processor Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 is used to build this SoC.Manufacturer assigns package 784-BFBGA, FCBGA to this system on a chip.A 256KB RAM SoC chip provides reliable performance to users.The internal architecture of this SoC design utilizes the MCU, FPGA technique.It is part of the Zynq? UltraScale+? MPSoC EG series of system on a chips.Temperatures should be -40°C~100°C TJ on average for this SoC meaning.One important thing to mark down is that this SoC meaning combines Zynq?UltraScale+? FPGA, 256K+ Logic Cells.Tray package houses this SoC system on a chip.Total I/Os on this SoC part are 252.
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.
XCZU5EG-1SFVC784I System On Chip (SoC) applications.
- Functional safety for critical applications in the aerospace
- Measurement tools
- Robotics
- RISC-V
- Industrial automation devices
- Mobile market
- Deep learning hardware
- Central inverter
- Networked Media Encode/Decode
- AC-input BLDC motor drive