Manufacturer Part Number
XC7Z045-1FBG676I
Manufacturer
Xilinx
Introduction
The XC7Z045-1FBG676I is an embedded System on Chip (SoC) from Xilinx's Zynq®-7000 series combining a Dual ARM® Cortex®-A9 processor with Kintex™-7 FPGA technology, designed for a robust and flexible system integration in high-performance applications.
Product Features and Performance
Integrates Dual ARM® Cortex®-A9 MPCore™ with CoreSight™
Features Kintex™-7 FPGA with 350K Logic Cells
High-speed 667MHz dual-core CPU
Extensive connectivity options including CANbus, Ethernet, I2C, SPI, UART/USART, USB OTG
256KB RAM memory
No embedded flash memory
DMA peripherals for higher data management efficiency
Wide operating temperature range from -40°C to 100°C
Product Advantages
Powerful combination of MCU and FPGA architecture for versatile applications
High logic cell count for complex digital computations
Multiple connectivity options facilitating broad system integration
Dual-core processing for enhanced multitasking
Robust temperature tolerability for harsh environments
Key Technical Parameters
Core Processor: Dual ARM® Cortex®-A9 MPCore™
Speed: 667MHz
RAM Size: 256KB
Operating Temperature: -40°C ~ 100°C
Number of I/O: 130
FPGA: Kintex™-7 with 350K Logic Cells
Quality and Safety Features
Built to stringent quality standards
High-reliability architecture suitable for mission-critical applications
Compatibility
Compatible with a variety of industry-standard interfaces and protocols
Application Areas
Industrial Automation
Telecommunications
Defense and Aerospace
Automotive systems
Data processing
Product Lifecycle
Current status: Active
Not nearing discontinuation with ongoing support and availability
Several Key Reasons to Choose This Product
High integration reduces system complexity and overall cost
Capable of handling intensive processing tasks with dual-core ARM Cortex-A9 and Kintex-7 FPGA
Broad connectivity supports versatile system designs
Operational across extreme temperatures making it ideal for demanding environments
Supports advanced digital signal processing and machine learning applications with extensive logic cells
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