XCZU4CG-1FBVB900I

Applications

The XCZU4CG-1FBVB900I is designed for high-performance computing environments, particularly in areas requiring extensive parallel processing capabilities such as artificial intelligence, machine learning, and big data analytics.

In the field of automotive electronics, it supports advanced driver assistance systems (ADAS) and autonomous driving features, enhancing safety and efficiency through rapid data processing and analysis.

For industrial automation, it enables complex control systems that require precise timing and high-speed data transfer, supporting tasks like robotics and manufacturing automation.

Operating Temperature: -40°C to +85°C

Key Advantages

1. High Performance: The XCZU4CG-1FBVB900I offers up to 7600+ DSP slices, providing unparalleled computational power for demanding applications.

2. Scalable Architecture: Its modular design allows for easy expansion and integration into various system architectures without significant redesign.

3. Low Power Consumption: Equipped with advanced power management features, it consumes significantly less power compared to similar devices, making it ideal for battery-operated systems.

4. Industry Certifications: It meets stringent industry standards including ISO 9001 and CE marking, ensuring reliability and compliance across different markets.

Frequently Asked Questions

Q1: What is the maximum clock frequency supported by the XCZU4CG-1FBVB900I?

A1: The XCZU4CG-1FBVB900I can operate at frequencies up to 300 MHz, depending on the specific configuration and cooling methods employed.

Q2: Is the XCZU4CG-1FBVB900I compatible with existing systems?

A2: Yes, the XCZU4CG-1FBVB900I is backward-compatible with previous generations of Xilinx FPGAs, allowing for smooth integration into existing designs.

Q3: In which specific scenarios would you recommend using the XCZU4CG-1FBVB900I?

A3: The XCZU4CG-1FBVB900I is recommended for scenarios requiring high computational throughput, such as real-time signal processing in telecommunications networks, high-frequency trading in financial markets, and real-time simulation in aerospace engineering.

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