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HP 739721-001 25-Bay SFF Drive Cage Assembly for D3700 Enclosure
- Number of Bays: 25 x SFF (Small Form Factor)
- Compatibility: HP D3700 Enclosure
- Drive Size: 2.5-inch
- Type: Drive Cage Assembly
- Component for storage expansion
- Facilitates drive installation and connection
Free U.S. Ground Shipping
Typically 1-2 handling + 3-7 transit days
Purchase orders accepted
For government, enterprise, data center, and small business customers.
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Volume pricing and availability
Product Overview
The HP 739721-001 is a 25-bay Small Form Factor (SFF) drive cage assembly specifically designed for the HP D3700 Enclosure. It provides the physical structure and connectivity for housing 2.5-inch drives within the D3700 storage system.
Technical Information
| Number of Bays | 25 |
| Drive Form Factor | SFF (2.5-inch) |
| Compatibility | HP D3700 Enclosure |
Additional Specifications
| Type | Drive Cage Assembly |
| Material | Metal/Plastic |
| Connectivity | Integrated backplane connectors |
Product Description
The HP 739721-001 is a critical component for expanding the storage capacity of the HP D3700 Enclosure. This assembly provides 25 individual bays designed to accommodate 2.5-inch Small Form Factor (SFF) hard drives or SSDs. Its primary function is to offer a structured and secure housing for these drives, ensuring proper alignment and connection to the enclosure's backplane. This drive cage assembly is engineered for seamless integration with the D3700 enclosure, facilitating the installation and removal of drives. It includes the necessary physical structure and connectors to interface with the enclosure's power and data pathways. The high density of 25 SFF bays allows for significant storage consolidation within a compact footprint, making it an efficient solution for increasing storage volume. By providing a dedicated cage for SFF drives, the 739721-001 enables users to leverage the benefits of smaller, often faster, and more power-efficient drives. This is particularly advantageous in environments where performance and density are key requirements, such as in high-performance computing, virtualization, or large-scale data analytics.
