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Product Overview |
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The Samsung PM1633 3.84TB SAS 12Gb/s TLC SSD is an enterprise-grade storage device providing large capacity and rapid data access. It fits into server environments to help manage workloads that require both reliable speed and protection against unexpected power loss. This drive supports sustained performance essential for data centers and professional IT setups. |
General Information |
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| Brand | HPE |
| Part Number | MZILS3T8HCJM-000H3 |
Technical Information |
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| Capacity | 3.84TB |
| Memory Technology | Triple-Level Cell (TLC) |
| 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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| Dimensions | 15 x 70 x 100 mm |
| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE, FCC, UL |
Product Description |
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The Samsung PM1633 is a high-capacity solid state drive designed to handle demanding enterprise workloads. It is commonly used in data centers and servers where fast, reliable storage is critical. Built for IT professionals managing critical applications, this drive offers a balance of speed and durability to support heavy read and write operations. Key Features
This SSD is often found in enterprise server arrays and storage systems where uptime and fast response are essential. It plays a vital role in improving system efficiency and reducing latency in high-demand applications. Its design suits environments where data security and performance cannot be compromised. |
Use Cases |
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The Samsung PM1633 3.84TB SAS SSD is designed for enterprise environments that demand high-capacity, reliable storage with consistent performance. It is particularly suited for data centers and IT infrastructures where sustained throughput and rapid data accessibility are critical for managing intensive workloads. How It's Used:
This SSD helps maintain operational efficiency by delivering consistent low latency and high throughput, enabling scalable storage solutions that accommodate growing data demands without compromising system responsiveness. |