AMD

XCZU6CG-1FFVB1156E

XCZU6CG-1FFVB1156E Description

The XCZU6CG-1FFVB1156E is a high-performance System on Chip (SoC) from AMD's Zynq® UltraScale+™ MPSoC CG series, combining a dual-core ARM® Cortex®-A53 processor (operating at 1.2GHz) with a UltraScale+™ FPGA fabric featuring 469K+ logic cells. Designed for demanding embedded applications, it operates within a 0°C to 100°C (TJ) temperature range and includes 256KB RAM, 328 I/O pins, and advanced peripherals like DMA and WDT. Its 1156-FCBGA package ensures robust integration in space-constrained designs while maintaining ROHS3 compliance and REACH unaffected status.

XCZU6CG-1FFVB1156E Features

• Heterogeneous Architecture: Integrates MCU (Cortex-A53) and FPGA (UltraScale+™) for flexible hardware-software co-design.
• High-Speed Processing: Dual-core CPU at 1.2GHz and FPGA logic for parallel acceleration.
• Rich Connectivity: Supports CANbus, Ethernet, USB OTG, I2C, SPI, UART/USART, and MMC/SD/SDIO.
• Scalable I/O: 328 programmable I/Os for interfacing with sensors, memory, and peripherals.
• Low Latency DMA & Watchdog Timer: Enhances real-time performance and system reliability.
• Industrial Robustness: MSL 4 (72 hours) moisture sensitivity and 100°C TJ tolerance for harsh environments.

XCZU6CG-1FFVB1156E Applications

• Industrial Automation: Real-time control systems with FPGA-based signal processing.
• Aerospace & Defense: Secure, high-reliability embedded computing.
• Medical Devices: Low-latency imaging and diagnostics leveraging FPGA acceleration.
• Automotive ADAS: Sensor fusion and vision processing with CAN/Ethernet interfaces.
• Communications Infrastructure: High-throughput packet processing and 5G baseband.

Conclusion of XCZU6CG-1FFVB1156E

The XCZU6CG-1FFVB1156E stands out for its dual-core Cortex-A53 + FPGA architecture, offering unmatched flexibility for compute-intensive applications. Its wide operating temperature, extensive I/O, and industrial-grade reliability make it ideal for sectors requiring real-time processing, hardware customization, and low-power efficiency. Compared to similar SoCs, its UltraScale+™ FPGA and rich connectivity provide a competitive edge in embedded vision, AI inference, and edge computing.