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| Product Overview |
|---|
The 345-BJZL Dell 1.92TB SATA 6Gbps Read Intensive 1DWPD 2.5-inch Hot-Plug SSD offers a high-capacity storage solution featuring a SATA interface, optimized for read-heavy workloads with a 1 Drive Write Per Day endurance rating, and includes hot-plug capability for enhanced serviceability. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | 345-BJZL |
| Technical Information | |
|---|---|
| Capacity | 1.92TB |
| Memory Technology | Multi-Level Cell (MLC) |
| Form Factor | 2.5-inch |
| Interface | SATA 6GB/s |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
| Physical Characteristics | |
|---|---|
| Weight | 0.60 |
| Condition | Refurbished |
| Product Description |
|---|
This Dell solid-state drive delivers reliable storage performance tailored for environments where read operations dominate the workload. With a balanced combination of capacity, endurance, and enterprise-grade features, it serves as a dependable solution for demanding IT infrastructures requiring consistent data availability. The drive integrates seamlessly into existing Dell PowerEdge servers and storage systems, supporting hot-plug capabilities that minimize downtime during maintenance and component replacements. Its SATA 6Gbps interface ensures broad compatibility across legacy and modern platforms alike. Key Features
The read-intensive design makes this SSD particularly well-suited for environments running applications such as web hosting, data warehousing, and content delivery where write activity is minimal but rapid data retrieval is critical to operational performance. |
| Use Cases |
|---|
Data centers running virtualization platforms, content streaming services, and business intelligence applications benefit significantly from deploying high-capacity read-intensive SSDs to handle large-scale data retrieval operations efficiently. How It's Used:
Deploying read-intensive SSDs reduces mechanical complexity, lowers power consumption, and provides the IOPS performance necessary to support growing data demands while maintaining operational efficiency across enterprise-scale environments. |