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| Product Overview |
|---|
The Samsung PM1735 3.2TB NVMe PCIe Gen4 x8 SSD offers high throughput and low latency performance with mixed-use workload optimization, utilizing a robust add-in card form factor designed specifically for HPE OEM systems. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | MZPLJ3T2HBJR-000H3 |
| Technical Information | |
|---|---|
| Capacity | 3.2TB |
| NAND Flash | Samsung 3D V-NAND (TLC) |
| Memory Technology | Triple-Level Cell (TLC) |
| Form Factor | PCIe Add-in Card |
| Interface | PCIe Gen 4.0 x8 |
| Hot Swappable | No |
| Hot Pluggable | No |
| Physical Characteristics | |
|---|---|
| Weight | 0.60 |
| Condition | Refurbished |
| Product Description |
|---|
The Samsung PM1735 3.2TB NVMe PCIe Gen4 x8 Mixed Use Add-In Card is a high-capacity solid-state drive designed to deliver exceptional performance for enterprise storage solutions. This SSD leverages the latest PCIe Gen4 interface to provide faster data transfer speeds and lower latency compared to previous generations. Typically found in data centers and high-performance computing environments, this add-in card is suited for workloads requiring a balance of endurance and speed, such as database management, virtualization, and transactional applications. IT administrators and system architects benefit from its robust design and reliability, ensuring consistent performance under demanding conditions. Key Features
Samsung's advanced NAND technology and controller design provide enhanced endurance and reliability. The PM1735 series supports enterprise-grade features, making it a dependable choice for critical applications. Its add-in card design allows for easy integration into compatible server systems, streamlining deployment and maintenance. |
| Use Cases |
|---|
The Samsung PM1735 3.2TB NVMe PCIe Gen4 x8 Mixed Use Add-In Card is ideal for enterprise environments demanding high-speed storage with durability and reliability. How It's Used:
This SSD enables organizations to optimize storage performance and efficiency, meeting the demanding requirements of modern data-intensive applications. |