| Specification of XCZU2EG-2SFVC784I | |
|---|---|
| Status | Active |
| Series | Zynq? UltraScale+? MPSoC EG |
| Package | Tray |
| Supplier | AMD |
| Architecture | MCU, FPGA |
| Core Processor | Quad ARM Cortex-A53 MPCore with CoreSight, Dual ARMCortex-R5 with CoreSight, ARM Mali-400 MP2 |
| Flash Size | – |
| RAM Size | 256KB |
| Peripherals | DMA, WDT |
| Connectivity | CANbus, EBI/EMI, Ethernet, IC, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
| Speed | 533MHz, 600MHz, 1.3GHz |
| Primary Attributes | ZynqUltraScale+ FPGA, 103K+ Logic Cells |
| Operating Temperature | -40C ~ 100C (TJ) |
| Package / Case | 784-BFBGA, FCBGA |
| Supplier Device Package | 784-FCBGA (23×23) |
Applications
The XCZU2EG-2SFVC784I is ideal for high-performance computing environments such as cloud servers, data centers, and AI training systems. It supports applications requiring high-speed data processing and large-scale parallel computing tasks. Key technical parameters include operating temperatures ranging from -40°C to +85°C.
Key Advantages
1. High clock speed up to 600 MHz, providing superior computational performance.
2. Advanced multi-core architecture supporting efficient parallel processing.
3. Low power consumption per core, enhancing energy efficiency.
4. Compliance with industry-standard certifications ensuring reliability and security.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCZU2EG-2SFVC784I?
A1: The XCZU2EG-2SFVC784I operates within a temperature range of -40°C to +85°C, making it suitable for various environmental conditions.
Q2: Can the XCZU2EG-2SFVC784I be used in conjunction with other components for enhanced functionality?
A2: Yes, the XCZU2EG-2SFVC784I can be integrated with various peripheral devices and software modules to expand its capabilities in complex system architectures.
Q3: In which specific scenarios would the XCZU2EG-2SFVC784I be most beneficial?
A3: The XCZU2EG-2SFVC784I excels in scenarios requiring rapid data analysis, such as real-time analytics in financial markets, predictive modeling in healthcare, and deep learning in autonomous vehicles.
Other people’s search terms
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