Specification of XCZU11EG-1FFVC1760E | |
---|---|
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 | 500MHz, 600MHz, 1.2GHz |
Primary Attributes | ZynqUltraScale+ FPGA, 653K+ Logic Cells |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 1760-BBGA, FCBGA |
Supplier Device Package | 1760-FCBGA (42.5×42.5) |
Applications
The XCZU11EG-1FFVC1760E is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in applications such as artificial intelligence training, big data analytics, and cloud computing services. This device operates within a wide range of temperatures from -40°C to +85°C, ensuring reliability across various environmental conditions.
Key Advantages
1. High Processing Speed: The XCZU11EG-1FFVC1760E features a clock speed up to 600 MHz, providing exceptional performance for complex computational tasks.
2. Advanced Architecture: Equipped with a unique multi-core architecture that enhances parallel processing and data handling efficiency.
3. Energy Efficiency: Designed with power-saving technologies that reduce energy consumption without compromising performance.
4. Industry Certifications: Meets stringent industry standards including ISO 9001 and CE marking, ensuring compliance and safety.
Frequently Asked Questions
Q1: Can the XCZU11EG-1FFVC1760E handle high data throughput?
A1: Yes, it supports high data throughput rates, making it suitable for applications requiring large-scale data processing.
Q2: Is the XCZU11EG-1FFVC1760E compatible with existing systems?
A2: The XCZU11EG-1FFVC1760E is backward-compatible with most existing systems, but specific drivers may be required for optimal performance.
Q3: In which specific scenarios would you recommend using the XCZU11EG-1FFVC1760E?
A3: The XCZU11EG-1FFVC1760E is recommended for scenarios involving intensive computational tasks, such as machine learning model training and real-time data analysis.
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