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Product Overview |
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The IBM 600GB 10K RPM 6Gb/s SAS 2.5-Inch Hard Drive offers a reliable storage solution designed for enterprise environments that demand fast data access and consistent performance. It fits mainly in server and storage setups where space efficiency and speed are priorities. |
General Information |
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| Brand | IBM |
| Part Number | 0049Y7448 |
Technical Information |
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| Capacity | 600GB |
| Form Factor | 2.5-inch |
| Disk Format | 2.5-inch |
| Spindle Speed | 10000 RPM |
| Hot Pluggable | Yes |
| Hot Swappable | Yes |
| Hybrid Drive | No |
Interfaces/Ports |
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| Interface | SAS 6Gb/s |
Physical Characteristics |
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| Condition | Refurbished |
| Weight | 3.00 |
Product Description |
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This 600GB 10K RPM hard drive is built for enterprise environments where quick data access and reliable performance are essential. It is commonly used in servers and storage systems that require a balance of capacity and speed. Often found in data centers and business-critical applications, the drive suits IT professionals and system administrators managing large databases or virtualization platforms. Key Features
Typically deployed in rack-mounted servers and storage arrays, this drive plays an essential role in maintaining smooth operations under demanding workloads. Its durability and speed help keep systems responsive and data accessible when it matters most. |
Use Cases |
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The IBM 600GB 10K RPM 6Gb/s SAS 2.5-Inch Hard Drive is primarily utilized within enterprise server environments and high-density storage arrays where rapid data throughput and compact form factor are critical. IT professionals managing virtualization clusters or database servers benefit from its balance of speed and storage capacity, especially in scenarios requiring consistent I/O performance. How It's Used:
This hard drive supports operational efficiency by delivering dependable performance in environments where storage density and speed are paramount. Its form factor and interface facilitate scalable deployments, allowing IT infrastructure to meet evolving workload demands without compromising responsiveness. |