AMD_XCZU17EG-2FFVC1760I
original

AMD
XCZU17EG-2FFVC1760I

777-XCZU17EG-2FFVC1760I
IC SOC CORTEX-A53 1760FCBGA
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
533MHz, 600MHz, 1.3GHz
Operating Temperature
-40°C ~ 100°C (TJ)
Architecture
MCU, FPGA
Flash Size
-
RAM Size
256KB
ECCN
5A002A4 XIL
Number of I/O
512
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XCZU17EG-2FFVC1760I Description

XCZU17EG-2FFVC1760I Description

The XCZU17EG-2FFVC1760I is a high-performance System-on-Chip (SoC) from AMD's Zynq® UltraScale+™ MPSoC EG series, combining a multicore ARM® Cortex®-A53 processor with UltraScale+™ FPGA fabric. This device integrates 926K+ logic cells, 256KB RAM, and operates at speeds up to 1.3GHz, delivering exceptional processing power for compute-intensive applications. Packaged in a 1760-pin FCBGA, it supports 512 I/Os and features advanced peripherals like CANbus, Ethernet, USB OTG, and DMA, making it ideal for embedded systems requiring high-speed connectivity and real-time processing.

XCZU17EG-2FFVC1760I Features

  • Heterogeneous Architecture: Combines MCU (Cortex-A53) and FPGA (UltraScale+™) for flexible, high-performance computing.
  • High-Speed Processing: Configurable clock speeds (533MHz, 600MHz, 1.3GHz) for optimized power-performance trade-offs.
  • Rich Connectivity: Supports Ethernet, USB OTG, SPI, I2C, UART, CANbus, and EBI/EMI for versatile interfacing.
  • Large Logic Capacity: 926K+ logic cells enable complex FPGA designs alongside ARM processing.
  • Robust Peripherals: Includes DMA controllers and watchdog timers (WDT) for reliable operation.
  • Industrial Compliance: ROHS3, REACH unaffected, and MSL4 (72 hours) rated for harsh environments.

XCZU17EG-2FFVC1760I Applications

  • Embedded Vision: Real-time image processing in medical imaging or ADAS.
  • Industrial Automation: High-speed control systems with PLCs and motor drives.
  • Communications Infrastructure: 5G baseband processing, packet routing.
  • Aerospace & Defense: Secure, low-latency signal processing for radar/SDR.
  • AI Edge Computing: Accelerated inferencing with FPGA-optimized ML models.

Conclusion of XCZU17EG-2FFVC1760I

The XCZU17EG-2FFVC1760I stands out for its dual ARM-FPGA architecture, high I/O count, and industrial-grade reliability, making it a top choice for applications demanding real-time processing, reconfigurable logic, and robust connectivity. Its scalable performance and compliance with stringent standards ensure suitability for mission-critical systems across automotive, industrial, and telecom sectors.

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