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Product Overview |
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The IBM 1TB 7200RPM SAS hard drive offers dependable storage for enterprise servers, combining a solid 1TB capacity with a SAS interface to keep data flowing smoothly. Its 16MB cache and 3.5-inch size make it a practical choice for businesses needing steady and efficient disk performance in their infrastructure. |
General Information |
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| Brand | IBM |
| Part Number | 49Y1876 |
| Alternate Part Number | 49Y1876-06-UK |
Technical Information |
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| Capacity | 1TB |
| Form Factor | 3.5-inch |
| Disk Format | 3.5-inch HDD |
| Cache | 16MB |
| Spindle Speed | 7200 RPM |
| Hot Pluggable | Yes |
| Hot Swappable | Yes |
| Hybrid Drive | No |
| MTBF | 1,200,000 hours |
Interfaces/Ports |
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| Interface | SAS 6Gb/s |
Physical Characteristics |
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| Height | 26.1 mm |
| Width | 101.6 mm |
| Depth | 147 mm |
| Dimensions | 26.1 mm x 101.6 mm x 147 mm |
| Condition | Refurbished |
| Weight | 1.76 |
Product Description |
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This IBM 1TB hard drive is built for enterprise storage environments where dependable performance and capacity are essential. It’s commonly used in servers and storage arrays to handle large volumes of data efficiently. IT professionals rely on drives like this for consistent operation under demanding workloads. Key Features
This hard drive is often found in data centers and business server setups where reliability and performance go hand in hand. Its role is critical for storing operating systems, applications, and user data without interruptions or slowdowns. |
Use Cases |
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The IBM 1TB 7200RPM SAS hard drive is designed for enterprise IT environments requiring consistent and reliable storage performance. It is well-suited for data centers and server infrastructures where steady throughput and data integrity are critical under sustained workloads. How It's Used:
This hard drive's balance of capacity and SAS interface compatibility enables it to support operational continuity and scalability in data-intensive applications. Its cache and rotational speed help maintain efficient data throughput, contributing to effective resource utilization in server deployments. |