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| Product Overview |
|---|
HPE's 7.68TB Read Intensive SAS SSD delivers enterprise-grade storage performance with TLC NAND flash technology in a compact 2.5-inch form factor, engineered for high-volume read operations across HPE infrastructure and compatible platforms. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | VO007680RWUFC |
| 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 |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS |
| Product Description |
|---|
This HPE 7.68TB SAS solid-state drive delivers high-capacity storage engineered for read-intensive virtualized and cloud environments. The 2.5-inch form factor integrates seamlessly into existing enterprise infrastructure while providing the endurance and performance characteristics required for demanding data center applications. Triple-Level Cell NAND flash technology ensures consistent read speeds across varied workloads. Built with Multi Vendor SSD architecture, this drive offers broad compatibility and reliability across HPE ProLiant and storage platforms. The SAS 12Gbps interface provides superior throughput compared to SATA-based solutions, making it ideal for hyperscale and enterprise storage deployments. Key Features
The drive supports enterprise environments requiring 24/7 availability, offering a robust solution for database applications, virtual desktop infrastructure, and content delivery networks. Its read-intensive optimization makes it particularly effective for workloads involving frequent data access patterns. |
| Use Cases |
|---|
Enterprise data centers, cloud service providers, and large-scale virtualized environments commonly deploy high-capacity SAS SSDs for read-heavy workloads where throughput and reliability are critical operational requirements. How It's Used:
Organizations benefit from scalable performance that supports growing data demands while maintaining low latency across distributed storage architectures. |