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Samsung MZPLJ1T6HBJR 1.6TB PCIe NVMe 4.0 x8 TLC HHHL SSD
- Capacity: 1.6TB
- Interface: PCIe NVMe 4.0 x8
- Form Factor: HHHL (Half-Height, Half-Length)
- NAND Type: TLC (Triple-Level Cell)
- Designed for high-performance servers and workstations
- Offers significantly faster read/write speeds than traditional SSDs
- Optimized for demanding workloads
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Typically 1-2 handling + 3-7 transit days
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For government, enterprise, data center, and small business customers.
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Product Overview
The Samsung MZPLJ1T6HBJR is a 1.6TB PCIe NVMe SSD designed for high-performance computing. It utilizes PCIe 4.0 x8 interface and TLC NAND flash for fast and efficient data storage.
Technical Information
| Capacity | 1.6TB |
| Interface | PCIe NVMe 4.0 x8 |
| Form Factor | HHHL AIC |
Additional Specifications
| NAND Type | TLC |
| Manufacturer | Samsung |
Product Description
The Samsung MZPLJ1T6HBJR represents a significant leap in storage technology, offering a 1.6TB capacity in a high-performance solid-state drive. Leveraging the PCIe 4.0 x8 interface, this SSD delivers exceptionally high bandwidth and low latency, making it ideal for the most demanding enterprise applications. The NVMe protocol is specifically designed for flash storage, further optimizing performance by reducing overhead and enabling parallel command processing. This drive utilizes TLC (Triple-Level Cell) NAND flash memory, which provides a good balance between performance, endurance, and cost-effectiveness for enterprise workloads. The HHHL (Half-Height, Half-Length) AIC (Add-in Card) form factor allows it to be installed in a wide range of servers and workstations, including those with limited physical space. Its design is optimized for high-throughput data operations, such as large file transfers, complex data analytics, and high-performance computing. With its cutting-edge technology, the MZPLJ1T6HBJR is engineered to accelerate application performance, reduce boot times, and improve overall system responsiveness. It is an excellent choice for environments requiring rapid data access and processing, such as AI/ML training, video editing, and large-scale data warehousing, where speed and efficiency are paramount.
