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XCZU5EV-2FBVB900I

XCZU5EV-2FBVB900I Description

The XCZU5EV-2FBVB900I from AMD's Zynq® UltraScale+™ MPSoC EV series is a high-performance System-on-Chip (SoC) integrating a multi-core ARM® Cortex®-A53 processor with UltraScale+™ FPGA fabric, delivering exceptional processing power and flexibility. This device operates at clock speeds of 533MHz, 600MHz, or 1.3GHz, featuring 256KB RAM and 256K+ logic cells, making it ideal for compute-intensive applications. Packaged in a 900-pin FCBGA, it supports 204 I/O pins and complies with ROHS3 and REACH environmental standards.

XCZU5EV-2FBVB900I Features

• Heterogeneous Architecture: Combines MCU and FPGA for real-time processing and hardware acceleration.
• High-Speed Connectivity: Includes CANbus, Ethernet, USB OTG, I2C, SPI, UART/USART, and MMC/SD/SDIO interfaces.
• Robust Peripherals: Integrated DMA and WDT for efficient data handling and system reliability.
• Scalable Performance: Supports dynamic frequency scaling across 533MHz–1.3GHz for power-optimized designs.
• Industrial-Grade: ECCN 5A002A4 XIL certified, suitable for defense, aerospace, and automotive applications.
• Compact Footprint: 900-FCBGA package with MSL 4 (72 hours) moisture sensitivity.

XCZU5EV-2FBVB900I Applications

• Embedded Vision: Real-time image processing in medical imaging or ADAS.
• Industrial Automation: High-speed control systems with FPGA-based logic.
• Communications Infrastructure: Low-latency signal processing for 5G/Wi-Fi 6.
• Aerospace & Defense: Secure, high-reliability computing for radar/sensor fusion.
• IoT Edge Devices: Energy-efficient AI/ML inference at the edge.

Conclusion of XCZU5EV-2FBVB900I

The XCZU5EV-2FBVB900I stands out for its dual ARM-FPGA architecture, enabling unparalleled flexibility in high-performance embedded systems. Its rich connectivity, industrial certifications, and scalable power make it a top choice for applications demanding both processing agility and hardware customization. Ideal for next-gen embedded designs, it bridges the gap between traditional MCUs and FPGAs.