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Dell 400-BMTP 3.84TB TLC PCIe NVMe Read Intensive U.2 2.5-In SSD
- Capacity: 3.84TB
- Interface: PCIe NVMe Gen3 x4
- Drive Type: Solid State Drive (SSD)
- NAND Type: Triple-Level Cell (TLC)
- Form Factor: 2.5-inch U.2
- Workload: Read Intensive
- Protocol: NVMe
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Product Overview
The Dell 400-BMTP is a high-capacity 3.84TB NVMe SSD built for read-intensive workloads. Leveraging PCIe Gen3 x4 interface and U.2 form factor, it delivers exceptional performance for applications requiring rapid data retrieval. Its NVMe protocol significantly reduces latency compared to traditional SAS or SATA interfaces.
Technical Information
| Capacity | 3.84TB |
| Interface | PCIe NVMe Gen3 x4 |
| Form Factor | 2.5-inch U.2 |
Additional Specifications
| NAND Type | TLC |
| Workload | Read Intensive |
| Protocol | NVMe |
Product Description
This Dell 3.84TB NVMe SSD, SKU 400-BMTP, is engineered for high-performance computing environments where rapid data access is paramount. The drive utilizes the NVMe protocol, which is specifically designed for flash storage and communicates directly with the CPU via the PCIe bus, bypassing the traditional AHCI bottleneck. This results in significantly lower latency and higher throughput, making it ideal for read-intensive applications such as large databases, analytics, and content delivery networks. The PCIe Gen3 x4 interface provides a substantial bandwidth of up to 32 Gb/s, enabling the SSD to achieve impressive sequential and random read speeds. The 2.5-inch U.2 form factor ensures compatibility with servers and storage arrays that support this modern interface, offering a compact yet powerful storage solution. The use of TLC NAND flash strikes a balance between capacity, performance, and cost-effectiveness for read-heavy workloads. Designed for demanding read operations, the 400-BMTP SSD offers a robust solution for accelerating applications that rely heavily on retrieving data quickly. Its advanced technology ensures consistent performance and reliability, making it a critical component for organizations looking to optimize their data infrastructure and gain a competitive edge through faster data processing.
