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Product Overview |
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The HPE 7.68TB PCIe 3.0 x4 NVMe 2.5" U.2 SSD is a storage device optimized for read-intensive mainstream workloads. It provides large capacity in a 2.5-inch U.2 form factor and connects via a PCIe 3.0 x4 interface supporting the NVMe protocol, suitable for multi-vendor enterprise environments. |
General Information |
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| Brand | HPE |
Technical Information |
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| Capacity | 7.68TB |
| Memory Technology | Triple-Level Cell (TLC) |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Dimensions | 15 x 69.85 x 100.45 mm |
| Weight | 0.60 |
| Condition | Refurbished |
Product Description |
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The HPE 7.68TB PCIe 3.0 x4 NVMe 2.5" U.2 SSD is designed to deliver substantial storage capacity optimized for read-intensive applications. It fits standard 2.5-inch U.2 drive bays and operates over a PCIe 3.0 x4 interface using the NVMe protocol, ensuring efficient data transfer suited for mainstream performance requirements. This solid-state drive is typically deployed in enterprise environments where sustained read operations dominate, such as data analytics or content delivery systems. IT professionals and data center administrators benefit from its capacity and interface compatibility across multiple vendor platforms. Key Features
This SSD offers a balance of storage space and interface capability suited for enterprise applications with heavy read demands. Its multi-vendor compatibility allows integration into varied server and storage infrastructures where consistent read performance is a priority. |
Use Cases |
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This SSD is commonly used in data centers and enterprise servers that require high-capacity storage optimized for read-intensive workloads. It is suited for environments running applications such as data analytics, content delivery, or database querying where large amounts of data are accessed frequently. How It's Used:
Overall, this SSD serves as a reliable storage component in enterprise infrastructures, providing ample capacity and interface compatibility for managing workloads focused on frequent read operations. |
FAQ's |
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