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Samsung MZQL215THBLA 15.36TB PCIe NVMe 4.0 x4 2.5-Inch SSD
- Capacity: 15.36TB
- Interface: PCIe Gen 4.0 x4 NVMe
- Form Factor: 2.5-Inch
- NAND Flash Type: V-NAND
- Endurance: High TBW (Terabytes Written)
- Ideal for servers, data centers, and high-performance computing
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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 MZQL215THBLA is a high-performance 15.36TB NVMe SSD designed for demanding enterprise workloads. It utilizes the PCIe 4.0 x4 interface for exceptional data transfer speeds and a 2.5-inch form factor for broad compatibility.
Technical Information
| Capacity | 15.36TB |
| Interface | PCIe Gen 4.0 x4 NVMe |
| Form Factor | 2.5-Inch |
Additional Specifications
| NAND Type | V-NAND |
| Controller | Samsung Controller |
| Features | High Endurance, Power Loss Protection |
Product Description
The Samsung MZQL215THBLA represents the pinnacle of enterprise storage solutions, offering an immense 15.36TB of capacity within a standard 2.5-inch form factor. Leveraging the cutting-edge PCIe Gen 4.0 x4 interface, this NVMe SSD delivers unparalleled sequential and random read/write speeds, significantly accelerating application performance and data processing in the most demanding environments. Engineered with Samsung's advanced V-NAND technology, the MZQL215THBLA provides exceptional endurance and reliability, making it suitable for write-intensive workloads and mission-critical applications. Its robust design ensures consistent performance and longevity, even under heavy usage patterns typical of data centers, cloud computing, and high-performance computing (HPC) clusters. This SSD is optimized for servers and workstations requiring rapid access to large datasets. Features such as advanced error correction, wear leveling, and power loss protection are integrated to safeguard data integrity and maintain operational continuity. The MZQL215THBLA is the ideal choice for organizations seeking to maximize storage density and performance while minimizing latency.
