Specification of XCZU7EV-2FBVB900E | |
---|---|
Status | Active |
Series | Zynq? UltraScale+? MPSoC EV |
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, 504K+ Logic Cells |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 900-BBGA, FCBGA |
Supplier Device Package | 900-FCBGA (31×31) |
Applications
The XCZU7EV-2FBVB900E is ideal for high-performance computing environments such as cloud servers, data centers, and AI training systems. It excels in applications requiring high-speed data processing and low latency, such as financial trading platforms, medical imaging analysis, and autonomous vehicle technology.
In industrial settings, it supports real-time control systems in manufacturing plants, enabling precise automation and monitoring. Its robust design makes it suitable for harsh environments like marine vessels and aerospace applications, where it can operate within a wide range of temperatures from -40¡ãC to +85¡ãC.
Key Advantages
1. High bandwidth support up to 64 Gbps per lane, facilitating ultra-fast data transfer rates.
2. Advanced multi-core processing capabilities that enhance computational performance significantly.
3. Energy-efficient design with power consumption optimized for extended operational life without overheating.
4. Compliance with multiple industry-standard certifications ensuring reliability and safety across various sectors.
Frequently Asked Questions
Q1: Can the XCZU7EV-2FBVB900E be used in environments with extreme temperatures?
A1: Yes, the XCZU7EV-2FBVB900E operates effectively within a broad temperature range (-40¡ãC to +85¡ãC), making it suitable for both cold and hot climates.
Q2: What are the specific features that make the XCZU7EV-2FBVB900E unique compared to other FPGAs?
A2: The XCZU7EV-2FBVB900E stands out due to its advanced architecture that includes dedicated hardware accelerators for machine learning tasks, which significantly boosts performance over traditional FPGA designs.
Q3: In which specific scenarios would you recommend using the XCZU7EV-2FBVB900E?
A3: The XCZU7EV-2FBVB900E is recommended for scenarios requiring high-speed data processing and low-latency operations, such as real-time data analytics, high-frequency trading, and complex simulation models in engineering and scientific research.
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