Manufacturer Part Number
XCVU9P-L2FLGA2104E
Manufacturer
Xilinx
Introduction
The XCVU9P-L2FLGA2104E is a high-performance and power-efficient Virtex UltraScale+ FPGA from Xilinx. It is designed for a wide range of applications, including advanced communication systems, high-performance computing, and industrial automation, among others. This FPGA offers a vast array of resources and features to enable complex and computationally intensive applications.
Product Features and Performance
147,780 Logic Cells/Configurable Logic Blocks (CLBs)
2,586,150 Logic Elements
391,168,000 Total RAM Bits
832 I/O Pins
Operating voltage range of 0.698V to 0.742V
Operating temperature range of 0°C to 110°C (TJ)
2104-BBGA, FCBGA package with a 47.5x47.5 mm footprint
Product Advantages
Highly flexible and reconfigurable architecture
Excellent performance-per-watt ratio
Extensive on-chip memory and DSP resources
Robust and reliable design for industrial and harsh environments
Comprehensive ecosystem of design tools and IP cores
Key Reasons to Choose This Product
Unparalleled performance and power efficiency for demanding applications
Scalable and customizable solution to meet specific design requirements
Streamlined development process with the Xilinx design suite
Long-term product availability and support from a trusted industry leader
Quality and Safety Features
Rigorous quality control and testing processes
Compliance with industry standards and certifications
Robust thermal management and reliability design
Compatibility
The XCVU9P-L2FLGA2104E is compatible with a wide range of Xilinx development boards, IP cores, and design tools, ensuring seamless integration and rapid development.
Application Areas
Advanced communication systems
High-performance computing
Industrial automation and control
Medical imaging and diagnostics
Aerospace and defense systems
Product Lifecycle
The XCVU9P-L2FLGA2104E is an active and currently available product. There are no immediate plans for discontinuation. Customers can check with our website's sales team for information on equivalent or alternative models that may be available.