Manufacturer Part Number
XC7Z020-2CLG484CES
Manufacturer
Xilinx
Introduction
The XC7Z020-2CLG484CES is a Zynq®-7000 Series Embedded System on Chip (SoC) from Xilinx. It combines a dual-core ARM® Cortex®-A9 MPCore™ processor with an Artix™-7 FPGA fabric, offering a powerful and versatile platform for embedded system design.
Product Features and Performance
Dual ARM® Cortex®-A9 MPCore™ processor cores with CoreSight™ technology
256KB of on-chip RAM
Integrated DMA controller for efficient data transfers
Extensive peripheral connectivity including CAN, Ethernet, I2C, SPI, UART, and USB OTG
85K logic cells in the Artix™-7 FPGA fabric
Operating temperature range of 0°C to 85°C (TJ)
484-pin LFBGA package (19x19mm)
Product Advantages
Combines the flexibility and performance of an FPGA with the ease of use of an ARM-based processor
Enables the creation of highly integrated and power-efficient embedded systems
Supports a wide range of applications, from industrial control to medical imaging and beyond
Key Reasons to Choose This Product
Powerful dual-core ARM processor paired with a capable FPGA fabric
Extensive peripheral connectivity for seamless integration with various system components
Robust thermal performance suitable for a wide range of operating environments
Proven reliability and support from the industry-leading Xilinx brand
Quality and Safety Features
Rigorous quality control and testing processes
Compliance with relevant industry standards and regulations
Compatibility
Compatible with a variety of development tools and software ecosystems, including the Xilinx Vivado Design Suite
Application Areas
Industrial automation and control
Medical imaging and diagnostics
Aerospace and defense systems
Automotive electronics
Robotics and smart devices
Product Lifecycle
["The XC7Z020-2CLG484CES is now considered obsolete, as newer and more advanced Zynq SoC products have been introduced.","Customers are advised to contact our website's sales team or consult the product roadmap for information on equivalent or alternative models that may better suit their current and future needs."]