XCZU17EG-2FFVD1760E
| Parameters | |
|---|---|
| Factory Lead Time | 11 Weeks |
| 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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