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Product Overview |
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The HPE 15.36TB SAS Read Intensive 2.5-Inch SSD is a storage solution designed for enterprise environments requiring high-capacity, read-focused solid-state storage. It fits in standard 2.5-inch bays and connects via a SAS interface, making it suitable for servers and storage arrays that prioritize data retrieval operations. |
General Information |
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| Brand | HPE |
Technical Information |
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| Capacity | 15.36TB |
| Form Factor | 2.5-inch |
| Interface | SAS 12Gb/s |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Weight | 0.60 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE, FCC |
Product Description |
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The HPE 15.36TB SAS Read Intensive 2.5-Inch SSD is a high-capacity storage device engineered to handle read-intensive applications. It is typically deployed in data centers or enterprise storage environments where large volumes of data need to be accessed frequently. This SSD is designed to fit within systems that support 2.5-inch SAS drives, offering substantial storage density and scalability for IT infrastructure. IT professionals and system administrators commonly utilize this drive to augment storage arrays or servers requiring efficient read performance. Key Features
This SSD plays a critical role in environments where read operations dominate, such as database queries, content delivery, and virtualization. Its large capacity combined with the SAS interface enables integration into existing enterprise storage architectures with a focus on read performance. |
Use Cases |
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This SSD is typically used in data center and enterprise storage setups where read-intensive workloads are common. It supports environments that require large-capacity solid-state storage with a SAS interface, benefiting users managing heavy data access tasks. How It's Used:
Overall, this SSD serves to provide substantial storage capacity with optimized read performance, fitting into existing SAS storage environments where read operations predominate. It helps maintain data throughput and responsiveness in read-heavy applications. |
FAQ's |
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