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Product Overview |
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The Dell 18GB 10,000RPM SCSI 3.5-inch hard drive provides fast and reliable storage aimed at professional environments like servers and workstations. It fits well in setups where steady performance and compatibility with SCSI systems are important. |
General Information |
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| Brand | Dell |
| Part Number | 8H275 |
Technical Information |
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| Capacity | 18GB |
| Form Factor | 3.5-inch |
| Disk Format | SCSI |
| Cache | 2MB |
| Spindle Speed | 10,000 RPM (160 MB/s) |
| Hot Pluggable | Yes |
| Hot Swappable | Yes |
| Hybrid Drive | No |
| Compatible For | Servers,Workstations |
| MTBF | 1,200,000 hours |
Physical Characteristics |
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| Condition | Refurbished |
| Weight | 1.76 |
Product Description |
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This Dell 18GB hard drive is built for environments that require quick, dependable storage solutions. Typically found in servers or high-performance workstations, it offers a balance of capacity and speed suited for business applications. Often used in data centers or enterprise systems, this drive meets the needs of IT professionals and system administrators who rely on efficient data handling. Key Features
Commonly deployed in server racks and workstations, this drive plays a critical role in maintaining system performance under workload. It offers dependable storage that supports business operations without interruption. |
Use Cases |
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The Dell 18GB 10,000RPM SCSI 3.5-inch hard drive is commonly deployed in legacy server and workstation environments where reliable high-speed data access is required. IT administrators managing mid-tier enterprise storage systems or virtualization nodes benefit from its SCSI interface and consistent performance. This drive is suited to workloads demanding moderate capacity paired with fast random access in data centers or specialized compute clusters. How It's Used:
This hard drive supports operational efficiency by providing dependable, high-speed access to critical data in environments reliant on SCSI connectivity. It allows IT teams to maintain scalable storage configurations while optimizing performance in mixed workload scenarios. |