Specification of XCZU4EG-1SFVC784E | |
---|---|
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, 192K+ Logic Cells |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 784-BFBGA, FCBGA |
Supplier Device Package | 784-FCBGA (23×23) |
Applications
The XCZU4EG-1SFVC784E 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 gigaflop, making it energy-efficient.
4. Compliance with industry-standard certifications like ISO 9001 and CE Marking.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCZU4EG-1SFVC784E?
A1: The XCZU4EG-1SFVC784E operates within a temperature range of -40°C to +85°C, ensuring reliability across various environmental conditions.
Q2: Can the XCZU4EG-1SFVC784E be used in conjunction with other components for enhanced functionality?
A2: Yes, the XCZU4EG-1SFVC784E can be integrated with various other hardware and software components to enhance its capabilities, such as memory modules and operating system configurations.
Q3: In which specific scenarios would the XCZU4EG-1SFVC784E be most beneficial?
A3: The XCZU4EG-1SFVC784E is particularly beneficial in scenarios involving big data analytics, machine learning models, and high-frequency trading systems due to its high performance and low power consumption.
Other people’s search terms
– High-performance computing solutions
– Energy-efficient FPGA chips
– Cloud server optimization tools
– AI training platform accelerators
– Scalable data center infrastructure