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| Product Overview |
|---|
The Dell 7.68TB SAS 24Gbps ISE Read Intensive 512e 2.5-inch Hot-Plug Solid State Drive (SKU: MG7YN) is a high-capacity, high-performance storage device designed for enterprise applications. Featuring a 7.68 TB capacity and a fast SAS 24Gbps interface, it ensures quick data access and transfer. Its 2.5-inch hot-plug design facilitates easy installation and maintenance, making it ideal for minimizing system downtime. Optimized for read-intensive workloads and utilizing the 512e advanced format, this SSD is well-suited for environments that demand efficient and reliable data storage solutions. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | MG7YN |
| Drive Type | Internal (SSD) |
| Technical Information | |
|---|---|
| Capacity | 7.68TB |
| Form Factor | 2.5-inch |
| Interface | SAS 24Gb/s |
| Physical Characteristics | |
|---|---|
| Dimensions | 0.28 x 2.76 x 3.96 Inches |
| Weight | 0.50 |
| Condition | Refurbished |
| Product Description |
|---|
The Dell 7.68TB SAS 24Gbps ISE Read Intensive 512e 2.5-inch Hot-Plug Solid State Drive (SKU: MG7YN) is engineered to meet the demanding storage needs of modern data centers and enterprise environments. With a substantial 7.68 TB capacity, this SSD provides ample space for large datasets and applications. The SAS 24Gbps interface ensures rapid data transfer rates, enhancing system performance and reducing latency. Its 2.5-inch form factor coupled with hot-plug capability allows for effortless installation and maintenance, minimizing downtime. Designed for read-intensive workloads, this drive is ideal for applications that require high-speed data retrieval. The 512e advanced format optimizes data storage efficiency, ensuring compatibility with modern systems and applications. Key Features
This SSD offers a robust storage solution for businesses aiming to enhance their data access speeds and storage efficiency. Its combination of high capacity, swift data transfer rates, and read-optimized performance makes it a valuable asset for data-intensive applications. |