Specification of XCZU3EG-L1SFVC784I | |
---|---|
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, 154K+ Logic Cells |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 784-BFBGA, FCBGA |
Supplier Device Package | 784-FCBGA (23×23) |
Applications
The XCZU3EG-L1SFVC784I is ideal for high-performance computing environments such as cloud servers, data centers, and AI training platforms. It excels in handling large-scale data processing tasks efficiently. Additionally, it supports advanced networking solutions, making it suitable for telecommunications infrastructure.
Operating Temperature: -40°C to +85°C
Key Advantages
1. High Performance: The XCZU3EG-L1SFVC784I offers up to 600 Gbps of bandwidth, enabling ultra-fast data transfer rates.
2. Scalable Architecture: Its modular design allows for easy expansion and integration into various system architectures.
3. Energy Efficiency: With a power consumption of less than 100W at full load, it provides excellent energy efficiency.
4. Industry Certifications: It meets stringent industry standards including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: What is the maximum bandwidth supported by the XCZU3EG-L1SFVC784I?
A1: The XCZU3EG-L1SFVC784I supports up to 600 Gbps of bandwidth.
Q2: Can the XCZU3EG-L1SFVC784I be integrated into existing systems without modifications?
A2: Yes, its modular design ensures seamless integration into most existing systems with minimal modifications required.
Q3: In which specific scenarios would you recommend using the XCZU3EG-L1SFVC784I?
A3: The XCZU3EG-L1SFVC784I is recommended for scenarios requiring high-speed data processing, such as big data analytics, machine learning model training, and high-frequency trading.
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