
Subscribe To Our Newsletter!
Subscribe to the newsletter to stay up to date with the latest news and most useful
Newsletter
↑
Back to Top
| Product Overview |
|---|
The HP 3.84TB SATA 6Gb/s Read Intensive 2.5-inch Solid State Drive is designed to deliver dependable, high-capacity storage focused on read-heavy tasks. It fits directly into ProLiant Gen10 Plus servers, offering a solid balance between capacity and performance for enterprise environments that prioritize consistent data access. |
| General Information | |
|---|---|
| Brand | HP |
| Part Number | P40500-X21 |
| Technical Information | |
|---|---|
| Capacity | 3.84TB |
| NAND Flash | Enterprise Triple-Level Cell (eTLC) |
| Memory Technology | Enterprise Triple-Level Cell (eTLC) |
| Form Factor | 2.5-inch |
| Interface | SATA 6GB/s |
| MTBF | 2,000,000 hours |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
| Physical Characteristics | |
|---|---|
| Dimensions | 15 x 69.85 x 100.45 mm |
| Weight | 1.10 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC |
| Product Description |
|---|
This HP 3.84TB SATA 6Gb/s solid state drive is built primarily for read-intensive workloads, making it a reliable choice for environments that require consistent and fast access to large volumes of data. Often found in data centers and enterprise storage solutions, it handles demanding read operations with ease. Commonly installed in HPE ProLiant Gen10 Plus servers, it is tailored to fit the 2.5-inch drive bays, providing seamless integration and maximizing storage density. IT professionals and system administrators benefit from its balance of capacity and performance in mixed workload scenarios. Key Features
These drives are typically deployed in enterprise servers where read reliability and large capacity are critical. They are well-suited to database servers, virtualization hosts, and big data applications where quick data retrieval is essential. In practice, they help maintain system responsiveness and uptime, reducing bottlenecks associated with heavy read workloads. |