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| Product Overview |
|---|
The P41534-001 HPE SSD features a 7.68TB capacity with a 12Gbps SAS interface, optimized for read-intensive workloads using 2.5-inch BC Value TLC NAND technology to provide reliable and efficient storage performance in enterprise systems. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P41534-001 |
| Technical Information | |
|---|---|
| Capacity | 7.68TB |
| Memory Technology | Triple-Level Cell (TLC) |
| Form Factor | 2.5-inch |
| Interface | SAS 12Gbps |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
| Physical Characteristics | |
|---|---|
| Weight | 0.60 |
| Condition | Refurbished |
| Product Description |
|---|
The HPE 7.68TB SAS 12Gbps Read Intensive SSD delivers substantial storage capacity with enterprise-grade performance tailored for read-heavy workloads. This 2.5-inch solid-state drive combines high-capacity TLC flash with SAS interface technology to meet the demanding storage requirements of modern data center environments. Designed for continuous read operations, this drive provides organizations with a cost-effective solution for accelerating data access while maintaining the reliability expected from HPE enterprise storage components. Key Features
This HPE value-tier SSD offers organizations a scalable storage solution that addresses the performance and capacity needs of read-optimized applications without compromising on the quality standards required for enterprise environments. The combination of high capacity and reliable SAS connectivity makes this drive suitable for deployment across diverse data center configurations. |
| Use Cases |
|---|
This SSD is typically deployed in enterprise data centers and server environments where read-heavy applications require both high capacity and consistent performance. Organizations managing large-scale data repositories, content delivery infrastructure, and virtualization platforms benefit most from this storage solution. How It's Used:
The drive enables organizations to achieve improved application responsiveness and reduced data access latency across read-intensive workloads while maintaining the scalability required to support growing data demands in enterprise environments. |