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Product Overview |
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The X4154A-Z Sun 146GB 15000RPM Ultra-320 SCSI hard drive offers consistent, high-speed storage designed to integrate seamlessly into Sun server environments. It provides a solid balance of capacity and performance, making it a reliable choice for demanding data handling tasks. |
General Information |
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| Brand | Sun |
| Part Number | X4154A-Z |
Technical Information |
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| Capacity | 146GB |
| Form Factor | 3.5-inch |
| Cache | 8MB |
| Spindle Speed | 15000 RPM |
| Hot Pluggable | Yes |
| Hot Swappable | Yes |
| Hybrid Drive | No |
| Compatible For | Sun |
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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The X4154A-Z Sun 146GB 15000RPM Ultra-320 SCSI hard drive is built for environments requiring dependable and speedy data storage. Often found in enterprise servers and workstations, it's designed to handle intensive workloads with rapid read/write operations. Commonly used by IT professionals managing storage arrays or databases, this drive balances capacity and speed effectively. It's well-suited for applications where consistent performance under heavy use is critical. Key Features
This hard drive is typically deployed in data centers and enterprise server racks where reliability is essential. Its steadiness under pressure makes it a dependable component in business-critical storage solutions. |
Use Cases |
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The X4154A-Z Sun 146GB 15K RPM Ultra-320 SCSI hard drive is primarily utilized in enterprise-grade server environments where high-speed data access and reliability are critical. It is well-suited for IT professionals managing legacy Sun server systems requiring robust storage solutions optimized for intensive workloads. How It's Used:
By leveraging the X4154A-Z drive's performance characteristics and SCSI interface, IT operations can maintain scalable and efficient storage arrays that meet demanding enterprise requirements. Its balance of capacity and speed helps sustain operational continuity in critical server workloads. |