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Product Overview |
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The Samsung PM1633 Series 3.8TB Triple-Level-Cell SAS SSD combines high storage capacity with enterprise-grade performance in a compact 2.5-inch form. It fits seamlessly into existing SAS storage environments and is suited for applications requiring both speed and reliability, such as large-scale data centers and server infrastructures. |
General Information |
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| Brand | Samsung |
| Part Number | MZILS3T8HCJM-000G3 |
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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| Weight | 1.10 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE, FCC |
Product Description |
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The Samsung PM1633 Series 3.8TB SSD offers high-capacity storage with reliable performance, ideal for demanding enterprise applications. It is built for environments that require consistent data throughput and durability, such as data centers and server farms. This drive is often found in high-density storage arrays and systems where speed and endurance are critical. Key Features
This SSD is commonly deployed in data centers to provide reliable storage for databases, virtualization, and cloud applications. Its durability supports continuous operation, helping to maintain uptime and data integrity in busy storage networks. |
Use Cases |
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The Samsung 3.8TB TLC SAS SSD is optimized for enterprise environments demanding consistent high-throughput and durable storage. It is particularly suited for data centers and server infrastructures that require scalable and reliable flash storage to handle heavy workloads and large-scale virtualization. How It's Used:
By integrating this SSD into enterprise storage solutions, organizations can effectively balance performance with scalability. Its endurance and fast SAS interface enable sustained operation under demanding workloads, contributing to improved system responsiveness and reduced storage bottlenecks. |