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Samsung MZ-WLR3T20 3.2TB PCIe NVMe 2.5-In SSD
- Capacity: 3.2TB
- Interface: PCIe NVMe
- Form Factor: 2.5-inch
- High-speed data transfer
- Low latency for demanding applications
- Enterprise-grade reliability and endurance
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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 MZ-WLR3T20 is a 3.2TB enterprise Solid State Drive utilizing the high-speed PCIe NVMe interface. Designed for maximum performance and low latency, this 2.5-inch SSD is ideal for demanding data center and high-performance computing applications.
Technical Information
| Capacity | 3.2TB |
| Interface | PCIe NVMe |
| Form Factor | 2.5-inch |
Additional Specifications
| NAND Flash Type | Not Specified |
| Model Number | MZ-WLR3T20 |
Product Description
This Samsung 3.2TB SSD, model MZ-WLR3T20, represents the pinnacle of storage performance with its PCIe NVMe interface. NVMe (Non-Volatile Memory Express) is a protocol specifically designed for flash storage, allowing for significantly higher throughput and lower latency compared to traditional SATA or SAS interfaces. This makes it exceptionally well-suited for the most demanding enterprise workloads, including AI/ML, big data analytics, and high-frequency trading. The 2.5-inch form factor ensures compatibility with a wide range of modern servers and storage enclosures that support U.2 or NVMe form factors. Its substantial 3.2TB capacity provides ample space for large datasets and mission-critical applications. The drive is engineered for enterprise-level endurance and reliability, featuring advanced power loss protection and robust error handling mechanisms to ensure data integrity and uptime. By leveraging the full potential of flash memory through the NVMe protocol, the MZ-WLR3T20 delivers unparalleled performance metrics, including extremely high IOPS (Input/Output Operations Per Second) and sequential read/write speeds. This translates directly into faster application response times, reduced processing bottlenecks, and improved overall system efficiency for data-intensive environments.
