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HP MS000800KWDUT 800GB MLC M.2 22110 PCIe 3.0 x4 NVMe SSD
- Capacity: 800GB
- Interface: PCIe 3.0 x4 NVMe
- Form Factor: M.2 22110
- NAND Type: MLC (Multi-Level Cell)
- Drive Type: Solid State Drive (SSD)
- High read/write speeds
- Enterprise-grade reliability
- Optimized for demanding workloads
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Product Overview
The HP MS000800KWDUT is an 800GB M.2 NVMe SSD utilizing PCIe 3.0 x4 interface and MLC NAND. It is designed for high-performance server and workstation applications requiring fast data access and low latency.
Technical Information
| Capacity | 800GB |
| Interface | PCIe 3.0 x4 NVMe |
| Form Factor | M.2 22110 |
Additional Specifications
| NAND Type | MLC |
| Drive Type | SSD |
Product Description
The HP MS000800KWDUT is a cutting-edge solid-state drive engineered for maximum performance in enterprise environments. It leverages the NVMe protocol over a PCIe 3.0 x4 interface, enabling it to achieve significantly higher sequential and random read/write speeds compared to traditional SATA-based storage solutions. This makes it an ideal choice for applications that demand rapid data access and minimal latency, such as high-performance databases, virtualization platforms, and content delivery networks. This 800GB SSD employs MLC (Multi-Level Cell) NAND flash technology, which provides a robust combination of performance, endurance, and cost-effectiveness for demanding workloads. MLC NAND offers better sustained performance and a longer lifespan than TLC or QLC NAND, ensuring reliability even under heavy usage patterns. The M.2 22110 form factor is a larger M.2 standard, often used in servers and workstations to accommodate higher component density and improved thermal dissipation. Designed for mission-critical applications, the MS000800KWDUT delivers exceptional IOPS (Input/Output Operations Per Second) capabilities, allowing systems to handle a vast number of simultaneous data requests efficiently. Its integration into server infrastructure can dramatically reduce application load times, improve system responsiveness, and accelerate data processing tasks, ultimately boosting overall productivity and user experience.


