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| Product Overview |
|---|
The 345-BJPH Dell 1.92TB NVMe PCIe Gen4 x4 U.2 2.5-inch Read Intensive SSD offers a balance of high capacity and fast read performance, using the NVMe protocol over a PCIe Gen4 x4 interface. Its U.2 form factor ensures compatibility with enterprise hardware, focusing on read-intensive workloads for data center applications. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | 345-BJPH |
| Technical Information | |
|---|---|
| Capacity | 1.92TB |
| Memory Technology | Triple-Level Cell (TLC) |
| Form Factor | 2.5-inch |
| Interface | PCIe Gen 4.0 x4 |
| MTBF | 2,000,000 hours |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
| Performance | |
|---|---|
| Max Sequential Read | 4100 MB/s |
| Max Sequential Write | 840 MB/s |
| Physical Characteristics | |
|---|---|
| Dimensions | 7mm x 69.84mm x 100.45mm |
| Weight | 0.60 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE, FCC |
| Product Description |
|---|
This Dell 1.92TB NVMe solid-state drive delivers enterprise-grade performance with PCIe Gen4 x4 connectivity, providing significantly faster throughput compared to traditional SATA-based storage solutions. The U.2 form factor ensures broad compatibility with modern server platforms and storage arrays designed for high-density deployments. Key Features
The drive integrates seamlessly into Dell PowerEdge servers and compatible enterprise infrastructure, delivering consistent performance for business-critical operations requiring reliable and responsive storage access. |
| Use Cases |
|---|
This SSD is commonly deployed in enterprise data centers, cloud computing infrastructure, and virtualization environments where fast boot times, rapid data retrieval, and minimal latency are critical for operational efficiency. IT administrators managing Dell PowerEdge servers and organizations running database-intensive applications benefit most from this storage solution. How It's Used:
Organizations leverage this drive to achieve improved application responsiveness and operational efficiency while maintaining the scalability needed to support growing data demands across enterprise environments. |