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Product Overview |
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The HP 36.4GB 15000RPM SCSI hard drive is a reliable storage component tailored for enterprise servers and workstations. It provides quick data access through its fast spindle speed and efficient SCSI interface, making it suitable for environments that demand steady and fast storage performance. |
General Information |
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| Brand | HP |
| Part Number | A6948A |
Technical Information |
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| Capacity | 36.4GB |
| Form Factor | 3.5-inch |
| Disk Format | HDD |
| Spindle Speed | 15000 RPM |
| Hot Pluggable | Yes |
| Hot Swappable | Yes |
| Hybrid Drive | No |
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 36.4GB hard drive is designed for environments where quick and reliable data retrieval is essential. Often found in enterprise servers and high-performance workstations, it handles demanding applications that require sustained throughput and minimal latency. Built for IT professionals and system administrators, this drive supports tasks like database management, virtualization, and transactional processing. Its fast spindle speed and interface help maintain system responsiveness even under heavy workload. Key Features
You’ll typically find this hard drive installed in server racks and storage arrays where consistent performance is critical. It plays a key role in keeping business applications running smoothly by reducing delays in accessing stored data. |
Use Cases |
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The HP 36.4GB 15000RPM SCSI hard drive is commonly utilized in enterprise server environments where fast transactional data processing and low latency access are critical. It serves IT administrators and system integrators managing high-performance storage arrays and legacy systems requiring reliable SCSI interfaces. How It's Used:
This drive enhances operational efficiency by delivering steady high-speed data access in environments with stringent performance requirements. Its compatibility with established SCSI infrastructures supports scalability and integration in complex storage clusters. |