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Product Overview |
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The HP 1.92TB SATA 6Gb/s Read Intensive SSD offers substantial storage capacity combined with a form factor suited for typical server setups. It fits where steady, frequent reads are priority, providing reliability and performance without unnecessary overhead. This drive fits seamlessly into environments that demand consistent data availability and quick retrieval. |
General Information |
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| Brand | HP |
| Part Number | P19093-B21 |
Technical Information |
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| Capacity | 1.92TB |
| Form Factor | 3.5-inch |
| Interface | SATA 6GB/s |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Weight | 1.10 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE, FCC |
Product Description |
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The HP 1.92TB SATA 6Gb/s Read Intensive SSD is designed to deliver faster data retrieval and dependable storage for read-heavy applications. It's often found in data centers and enterprise environments where quick access to large datasets is critical. Built for IT professionals and organizations managing significant read workloads, this drive balances capacity with performance effectively. Key Features
This SSD is commonly deployed in enterprise servers and storage arrays where read operations dominate. It plays a crucial role in improving response times and data reliability, making it a practical choice for workloads like database access, content delivery, and virtualization. |
Use Cases |
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The HP 1.92TB SATA 6Gb/s Read Intensive SSD is designed for environments where rapid data retrieval and consistent read performance are critical. Organizations operating large-scale enterprise storage arrays or data centers with read-heavy workloads will find this drive beneficial for maintaining throughput and reducing latency. How It's Used:
This SSD enables operational efficiency by delivering consistent read throughput in complex storage ecosystems. Its compatibility with standard server bays facilitates scalability, allowing enterprises to optimize their storage infrastructure according to workload demands. |