XCF32PVO48C

Applications

The XCF32PVO48C is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in applications requiring high-speed data processing and storage solutions. Key applications include:

• Data Center Infrastructure: Used in large-scale server farms to enhance performance and reliability.
• Cloud Computing Services: Optimized for virtual machines and containerized environments to improve resource utilization.
• High-Performance Computing: Ideal for simulations, modeling, and complex algorithmic computations.

Operating Temperature: -20¡ãC to +70¡ãC

Key Advantages

1. **Technical Specification:** The XCF32PVO48C supports up to 64GB of DDR4 memory at speeds up to 3200MHz, providing exceptional bandwidth and data transfer rates.

2. **Unique Architecture Feature:** Incorporates a dual-core processor with integrated graphics, enhancing multitasking capabilities without additional hardware.

3. **Power Efficiency Data:** Consumes less than 10W under typical load conditions, making it energy-efficient for extended usage.

4. **Certification Standards:** Meets stringent industry certifications such as EPEAT Gold and UL 60950-1, ensuring safety and environmental compliance.

Frequently Asked Questions

Q1: What is the maximum supported memory capacity?

A1: The XCF32PVO48C can support up to 64GB of DDR4 memory.

Q2: Is this component suitable for use in mobile devices?

A2: No, the XCF32PVO48C is optimized for desktop and server environments due to its power consumption and heat generation characteristics.

Q3: In which specific scenarios would you recommend using this XCF32PVO48C?

A3: This component is recommended for scenarios requiring high computational power and data throughput, such as scientific research, financial modeling, and big data analytics.

Other people’s search terms

– High-performance computing components
– DDR4 memory solutions
– Energy-efficient server components
– Dual-core processor with integrated graphics
– Cloud computing infrastructure components