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Product Overview |
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The WN3V7 Dell EMC Samsung PM9A3 is a 15.36TB PCIe Gen4 NVMe U.2 2.5-inch solid state drive designed to provide high-capacity and fast storage for enterprise and data center environments. It fits into server configurations where speed and reliability are essential, supporting demanding workloads with its advanced technology. |
General Information |
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| Brand | Dell |
| Part Number | WN3V7 |
Technical Information |
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| Capacity | 15.36TB |
| Memory Technology | Triple-Level Cell (TLC) |
| Form Factor | U.2 |
| Interface | PCIe Gen 4.0 x4 |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Dimensions | 15mm x 69.85mm x 100.2mm |
| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | RoHS, CE, FCC |
Product Description |
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The WN3V7 Dell EMC Samsung PM9A3 is a high-capacity solid state drive built to handle large-scale storage needs. It's commonly used in data centers and enterprise environments where fast access to vast amounts of data is critical. IT professionals and system administrators often rely on this SSD to boost server performance and provide reliable storage solutions. Key Features
This SSD is typically deployed in enterprise servers, cloud infrastructures, and high-performance computing systems. It helps organizations manage data efficiently while minimizing latency, making it a reliable choice for critical applications and large databases. |
Use Cases |
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The WN3V7 Dell EMC Samsung PM9A3 15.36TB PCIe Gen4 NVMe U.2 SSD is optimized for enterprise data centers requiring high throughput and low latency. It is particularly suited for IT professionals managing storage-intensive applications where rapid access to large datasets is critical for operational workloads. How It's Used:
This SSD supports operational efficiency by delivering substantial storage capacity and accelerated data transfer rates, facilitating scalability and improved performance in demanding enterprise environments. Its design aligns with the needs of IT architects aiming to optimize storage infrastructures for evolving workload demands. |