Specification of XCZU5CG-2FBVB900E | |
---|---|
Status | Active |
Series | Zynq? UltraScale+? MPSoC CG |
Package | Tray |
Supplier | AMD |
Architecture | MCU, FPGA |
Core Processor | Dual ARM Cortex-A53 MPCore with CoreSight, Dual ARMCortex-R5 with CoreSight |
Flash Size | – |
RAM Size | 256KB |
Peripherals | DMA, WDT |
Connectivity | CANbus, EBI/EMI, Ethernet, IC, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
Speed | 533MHz, 1.3GHz |
Primary Attributes | ZynqUltraScale+ FPGA, 256K+ Logic Cells |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 900-BBGA, FCBGA |
Supplier Device Package | 900-FCBGA (31×31) |
Applications
The XCZU5CG-2FBVB900E 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 features include support for multiple DDR4 memory channels, high-bandwidth interconnects, and advanced power management capabilities.
Key Advantages
1. High Performance: The XCZU5CG-2FBVB900E offers up to 6.7 TFLOPS at 800 MHz, making it suitable for demanding computational tasks.
2. Scalability: Supports up to 16 DDR4 memory channels, allowing for extensive memory bandwidth and scalability.
3. Energy Efficiency: Designed with advanced power management techniques that reduce power consumption while maintaining performance.
4. Industry Standards: Complies with various industry certifications ensuring interoperability and reliability across different platforms.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCZU5CG-2FBVB900E?
A1: The XCZU5CG-2FBVB900E operates within a temperature range of -40¡ãC to +85¡ãC, providing robust performance under varying environmental conditions.
Q2: Can the XCZU5CG-2FBVB900E be used in conjunction with other FPGAs from the same series?
A2: Yes, the XCZU5CG-2FBVB900E can be integrated with other FPGAs from the same series through its high-speed interconnects, facilitating seamless system design and expansion.
Q3: In which specific scenarios would the XCZU5CG-2FBVB900E be most beneficial?
A3: The XCZU5CG-2FBVB900E excels in scenarios requiring high computational throughput, such as deep learning model training, big data analytics, and high-frequency trading systems.
Other people’s search terms
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