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Product Overview |
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The HP 800GB SAS 12Gb/s 2.5-inch Solid State Drive is designed to deliver reliable, high-speed storage within HP ProLiant Gen9 and Gen10 servers. It fits into existing server environments, providing a solid balance between capacity and performance for business-critical applications. |
General Information |
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| Brand | HP |
| Part Number | 873363-X21 |
Technical Information |
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| Capacity | 800GB |
| Form Factor | 2.5-inch |
| Interface | SAS 12Gb/s |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Weight | 1.10 |
| Condition | Refurbished |
Product Description |
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This HP 800GB SAS Solid State Drive is built to provide dependable, high-speed storage for enterprise servers. Commonly used in HP ProLiant Gen9 and Gen10 systems, it offers a balance of capacity and performance suited for demanding workloads. Often found in data centers and business environments, this drive supports applications that require quick access to large volumes of data. IT professionals and system administrators rely on drives like this to maintain server efficiency and reduce bottlenecks. Key Features
This drive is typically deployed in enterprise server setups where reliable storage and speed are critical. It helps maintain smooth system performance during intensive computing tasks and data processing. Using this SSD in ProLiant servers supports a robust IT infrastructure, keeping business operations running without interruption. |
Use Cases |
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The HP 800GB SAS 12Gb/s 2.5-inch Solid State Drive is commonly deployed in enterprise data centers requiring rapid access to critical data and high throughput. IT environments running virtualized workloads or large-scale database systems benefit from its reliable performance and compatibility with ProLiant Gen9 and Gen10 servers. How It's Used:
This SSD facilitates improved operational efficiency by minimizing storage bottlenecks and sustaining throughput under heavy workloads. Its scalability within existing ProLiant server ecosystems aids IT teams in maintaining performance consistency as data demands grow. |