Dell 1.6TB SAS 12Gb/s 2.5-Inch Solid State Drive
Availability: Lead Time: 4–6 Business Days
Product Description:
The Dell 0G8XPN 1.6TB SAS Solid State Drive is a high-performance enterprise storage solution designed for demanding data center and server environments. Featuring a SAS 12Gb/s interface, this SSD delivers exceptional data transfer speeds, low latency, and high IOPS, making it ideal for mission-critical workloads.
Built in a 2.5-inch Small Form Factor (SFF), it enables efficient use of space in dense server configurations, particularly within Dell PowerEdge servers and storage arrays. The drive is engineered for 24/7 continuous operation, ensuring reliability, durability, and consistent performance in enterprise applications.
Its hot-pluggable design allows for seamless replacement and upgrades without system downtime, improving operational efficiency and minimizing disruption in critical IT environments.
Model Type:
Internal Enterprise SSD — 2.5″ SAS (12Gb/s, Hot-Pluggable)
Category:
Storage — Enterprise SAS Solid State Drive (SSD)
Key Features:
- 1.6TB Capacity — High-capacity storage for enterprise workloads
- SAS 12Gb/s Interface — Ultra-fast data transfer and low latency
- 2.5-Inch SFF Design — Optimized for high-density server setups
- Hot-Pluggable Support — Enables maintenance without downtime
- High IOPS Performance — Ideal for intensive applications
- Enterprise Reliability — Built for 24/7 operations
- Low Latency — Faster access for critical data
- Efficient Performance — Suitable for mixed and intensive workloads
Technical Specifications:
| Specification | Details |
|---|---|
| Model | 0G8XPN |
| Capacity | 1.6TB |
| Drive Type | Internal SSD |
| Interface | SAS 12Gb/s |
| Form Factor | 2.5″ |
| Data Transfer Rate | Up to 1200 MB/s |
| Workload Type | Enterprise / Mixed-Use |
| Compatibility | Dell PowerEdge Servers & Arrays |
| Lead Time | 4–6 Business Days |
Typical Use Cases:
- Enterprise data centers
- Virtualization and cloud infrastructure
- High-performance databases
- RAID storage arrays
- Big data and analytics workloads
- Mission-critical applications








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