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Product Overview |
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The HP 18.2GB SCSI 10000RPM 3.5-Inch Hard Drive delivers consistent performance for servers and workstations needing a dependable storage solution. It fits comfortably into standard hardware setups while providing fast access speeds and a stable connection through its SCSI interface, making it a solid choice for professional IT environments. |
General Information |
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| Brand | HP |
| Part Number | A5531-69001 |
Technical Information |
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| Capacity | 18.4GB |
| Form Factor | 3.5-inch |
| Spindle Speed | 10000 RPM |
| Hot Pluggable | Yes |
| Hot Swappable | Yes |
| Hybrid Drive | No |
| Compatible For | Servers |
Interfaces/Ports |
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| Interface | SCSI |
Physical Characteristics |
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| Condition | Refurbished |
| Weight | 1.76 |
Product Description |
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This HP 18.2GB SCSI hard drive is designed to provide fast and dependable storage solutions, especially in environments demanding quick data retrieval. It's often found in enterprise servers and professional workstations where performance and reliability are key. Built for IT professionals and system administrators, this drive supports applications that require consistent, high-speed access to data. Its 3.5-inch size makes it compatible with many standard hardware setups. Key Features
This drive is typically deployed in data centers, servers, and workstations where reliable performance is essential. It helps reduce latency during data access, supporting smoother operations in multitasking and database management scenarios. |
Use Cases |
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The HP 18.2GB 10K RPM SCSI 3.5-Inch Hard Drive is commonly deployed in enterprise and SMB server environments where reliable, high-speed storage is critical. It is particularly suited for legacy systems and specialized applications requiring stable SCSI connectivity and consistent performance under moderate workloads. How It's Used:
By maintaining consistent data throughput and robust interface stability, this drive assists IT teams in optimizing storage infrastructure without extensive modifications. Its balance of speed and capacity helps preserve system responsiveness across various server workloads. |