XCVU31P-L2FSVH1924E

Applications

The XCVU31P-L2FSVH1924E is ideal for high-performance computing environments such as cloud servers, AI training, and big data analytics. It supports applications requiring high computational power and low latency, such as deep learning frameworks like TensorFlow and PyTorch.

In industrial settings, it can be used in automation systems that require real-time processing capabilities, such as robotics and smart manufacturing. The device also finds application in telecommunications infrastructure, particularly in 5G base stations where its high-speed data processing capabilities are crucial.

Operating Temperature: -40¡ãC to +85¡ãC

Key Advantages

1. High Performance: Equipped with advanced processing cores capable of delivering up to 1.6 TFLOPS at 1.2V, making it suitable for demanding computational tasks.

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

3. Energy Efficiency: Designed with power management features that reduce energy consumption while maintaining performance levels, achieving up to 70% lower power consumption compared to similar devices.

4. Industry Certifications: Meets stringent industry standards including ISO 9001, ISO 14001, and IEC 61000-4-2, ensuring reliability and safety in diverse operational environments.

Frequently Asked Questions

Q1: What is the maximum clock frequency supported by the XCVU31P-L2FSVH1924E?

A1: The XCVU31P-L2FSVH1924E supports a maximum clock frequency of 1.2 GHz.

Q2: Can the XCVU31P-L2FSVH1924E be used in conjunction with other FPGAs from the same series?

A2: Yes, the XCVU31P-L2FSVH1924E is compatible with other FPGAs from the same series through standard interconnects and shared resources.

Q3: In which specific scenarios would the XCVU31P-L2FSVH1924E be most beneficial?

A3: The XCVU31P-L2FSVH1924E is most beneficial in scenarios requiring high computational throughput and low latency, such as real-time signal processing in telecommunications, high-frequency trading in finance, and autonomous vehicle control systems.

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