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Product Overview |
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The Intel FR1000PS350 350W Power Supply is engineered for Intel server systems, offering reliable power delivery in a compact design. Its efficient operation and Intel certification make it an ideal choice for businesses that require stable, uninterrupted server performance in enterprise environments. |
General Information |
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| Brand | Intel |
| Part Number | FR1000PS350 |
| Product Type | Desktop Power Supply |
| Condition | Refurbished |
Technical Information |
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| Max. Output Power | 350W |
Physical Characteristics |
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| Weight | 3.00 |
Product Description |
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The Intel FR1000PS350 is a 350-Watt power supply unit designed to provide stable and efficient power to Intel server systems. This compact power supply ensures your server operates reliably, delivering the necessary power to critical components. Its efficient design supports smooth performance and is ideal for business environments requiring low-latency processing and minimal downtime. The unit is built to Intel’s rigorous standards, ensuring long-term reliability and performance in server deployments. Key Features
Designed for businesses with demanding IT infrastructures, the FR1000PS350 delivers efficient power to your servers, enhancing performance while ensuring system uptime. |
Use Cases |
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The Intel FR1000PS350 350W Power Supply is commonly implemented in enterprise-grade server environments where consistent power delivery is critical. It is particularly suited for data centers and IT departments managing medium-scale virtualization and storage solutions that demand high reliability and power efficiency. This power supply supports IT professionals who require compact, easily maintainable hardware components for dense rack configurations. How It's Used:
This power supply enhances operational reliability by delivering consistent energy in compact form factors, facilitating scalability in dense server environments. Its compatibility with Intel systems ensures streamlined integration, which aids IT teams in maintaining performance standards across diverse workloads. |