AMD_XCZU11EG-1FFVF1517I
original

AMD
XCZU11EG-1FFVF1517I

777-XCZU11EG-1FFVF1517I
IC SOC CORTEX-A53 1517FCBGA
16 Weeks

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Tech Specifications

Core Processor
Quad ARM® Cortex®-A53 MPCore™ with CoreSight™, Dual ARM®Cortex™-R5 with CoreSight™, ARM Mali™-400 MP2
Speed
500MHz, 600MHz, 1.2GHz
Operating Temperature
-40°C ~ 100°C (TJ)
Architecture
MCU, FPGA
Flash Size
-
RAM Size
256KB
ECCN
5A002A4 XIL
Number of I/O
464
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XCZU11EG-1FFVF1517I Description

XCZU11EG-1FFVF1517I Description

The XCZU11EG-1FFVF1517I from AMD's Zynq® UltraScale+™ MPSoC EG series is a high-performance System-on-Chip (SoC) integrating a quad-core ARM® Cortex®-A53 processor (up to 1.2GHz), a dual-core Cortex-R5, and a UltraScale+™ FPGA fabric with 653K+ logic cells. This device combines MCU and FPGA architectures, offering exceptional flexibility for embedded systems requiring real-time processing, high-speed data handling, and hardware acceleration. Packaged in a 1517-ball FCBGA, it features 464 I/O pins, 256KB RAM, and advanced peripherals, making it ideal for compute-intensive applications.

XCZU11EG-1FFVF1517I Features

  • Heterogeneous Processing: Combines 500MHz–1.2GHz Cortex-A53, Cortex-R5, and FPGA logic for parallel task execution.
  • High-Speed Connectivity: Supports CANbus, Ethernet, USB OTG, SPI, I2C, UART/USART, and EBI/EMI for versatile interfacing.
  • Large FPGA Resources: 653K+ logic cells enable custom hardware acceleration for AI, DSP, or vision processing.
  • Robust Peripherals: Includes DMA controllers and watchdog timers (WDT) for reliable operation.
  • Industrial Compliance: ROHS3/REACH-compliant, MSL4-rated, and ECCN 5A002A4 certified for global deployment.

XCZU11EG-1FFVF1517I Applications

  • Embedded Vision: Real-time image processing for medical imaging or ADAS.
  • Industrial Automation: PLCs, motor control, and robotics leveraging FPGA flexibility.
  • Communications: 5G infrastructure, software-defined radio (SDR), and network processing.
  • Aerospace/Defense: Secure, high-reliability systems with hardware-accelerated encryption.
  • AI Edge Devices: Low-latency inferencing with FPGA-optimized neural networks.

Conclusion of XCZU11EG-1FFVF1517I

The XCZU11EG-1FFVF1517I stands out for its unified processing architecture, scalable performance, and rich I/O capabilities, bridging the gap between traditional MPUs and FPGAs. Its low-power design, industrial resilience, and high-speed interfaces make it a top choice for next-gen embedded systems. Engineers targeting high-throughput, low-latency applications will find this SoC a future-proof solution.

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