
Subscribe To Our Newsletter!
Subscribe to the newsletter to stay up to date with the latest news and most useful
Newsletter
↑
Back to Top
| Product Overview |
|---|
The 345-BMDW Dell 15.36TB NVMe PCIe Gen5 x4 E3.S Read Intensive TLC SSD integrates large capacity storage with the latest PCIe Gen5 interface, optimized for high read workloads using TLC NAND technology, and offers a compact E3.S form factor designed for enterprise-grade performance and reliability. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | 345-BMDW |
| Technical Information | |
|---|---|
| Capacity | 15.36TB |
| NAND Flash | TLC |
| Memory Technology | Triple-Level Cell (TLC) |
| Form Factor | E3.S |
| Interface | PCIe Gen 5.0 x4 |
| Physical Characteristics | |
|---|---|
| Weight | 0.60 |
| Condition | Refurbished |
| Product Description |
|---|
The 345-BMDW Dell 15.36TB NVMe PCIe Gen5 x4 E3.S Read Intensive TLC SSD is a high-capacity solid state drive designed to deliver exceptional read performance and reliability. It leverages the latest PCIe Gen5 interface and NVMe protocol to provide ultra-fast data access, making it suitable for demanding enterprise storage environments. This SSD is commonly deployed in data centers, cloud infrastructure, and high-performance computing systems where fast read speeds and consistent performance are critical. IT professionals, system administrators, and data engineers benefit from its robust design and large storage capacity. Key Features
With its advanced technology and enterprise-grade specifications, this SSD supports heavy read operations efficiently, reducing bottlenecks in data access. It is engineered to provide a balance between performance, endurance, and power efficiency, making it a reliable choice for modern storage infrastructures. |
| Use Cases |
|---|
This SSD is ideal for environments requiring fast, reliable read-intensive storage solutions. How It's Used:
By deploying this SSD, organizations can achieve faster access to critical data, improve system responsiveness, and support growing data demands efficiently. |