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Product Overview |
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The HPE 3.84TB 12Gb/s SAS Read Intensive SFF PM1643A Solid State Drive delivers large-scale storage with a focus on read performance. It fits into enterprise systems where space and data throughput are crucial, offering a reliable solution for data-heavy applications that frequently access stored information. |
General Information |
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| Brand | HPE |
| Part Number | MZILLT3T8HBLS-00AH3 |
Technical Information |
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| Capacity | 3.84TB |
| Form Factor | 2.5-inch |
| Interface | SAS 12Gb/s |
| MTBF | 2,000,000 hours |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
Product Description |
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The HPE 3.84TB PM1643A SSD is built for enterprise storage environments requiring reliable, high-capacity solid state drives. It is often found in data centers and servers where read-heavy applications demand consistent performance and endurance. Commonly used in storage arrays and high-performance computing setups, this drive benefits IT professionals managing large datasets and virtualization workloads. Its small form factor helps maximize storage density without sacrificing speed. Key Features
This SSD is typically deployed in enterprise servers, storage arrays, and data centers that require a balance of capacity and speed. Its read intensive nature makes it ideal for database servers, analytics platforms, and virtual desktop infrastructures. Organizations benefit from its ability to handle frequent read operations without compromising access times, helping maintain smooth workflows in demanding IT environments. |
Use Cases |
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The HPE 3.84TB 12Gb/s SAS Read Intensive SFF SSD PM1643A is designed for environments requiring high read throughput with limited physical space. It is ideal for enterprise IT infrastructures and data centers that handle data-heavy workloads, especially where frequent data access and fast retrieval times are critical to operations. How It's Used:
This SSD facilitates scalable storage solutions by balancing capacity and read performance, enabling IT teams to maintain efficient data access patterns in constrained physical footprints. Its design supports sustained operational workloads common in enterprise storage architectures. |