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| Product Overview |
|---|
The MZXLR3T8HBLS-000H3 Samsung PM1733 offers a 3.84TB capacity NVMe SSD with PCIe Gen4 x4 connectivity in a 2.5-inch form factor designed for enterprise-grade performance, endurance, and compatibility with HPE systems. |
| General Information | |
|---|---|
| Brand | Samsung |
| Part Number | MZXLR3T8HBLS-000H3 |
| Technical Information | |
|---|---|
| Capacity | 3.84TB |
| NAND Flash | Samsung V-NAND |
| Memory Technology | Triple-Level Cell (TLC) |
| Form Factor | 2.5-inch |
| Interface | PCIe Gen 4.0 x4 |
| Cache | DRAM |
| MTBF | 2,000,000 hours |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
| Performance | |
|---|---|
| Max Sequential Read | 8,000 MB/s |
| Max Sequential Write | 4,100 MB/s |
| Random Read | 1,600,000 IOPS |
| Random Write | 200,000 IOPS |
| Endurance (TBW) | 6,500 TBW |
| Physical Characteristics | |
|---|---|
| Dimensions | 7 x 69.85 x 100.45 mm |
| Weight | 0.60 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC |
| Product Description |
|---|
The Samsung PM1733 3.84TB NVMe SSD delivers exceptional storage performance for demanding enterprise environments. Built on Samsung's proven V-NAND technology, this drive combines high capacity with consistent, low-latency performance suitable for critical business applications and virtualization workloads. Key Features
This HPE OEM-certified SSD is engineered to meet the rigorous demands of modern enterprise IT infrastructure, offering a balance of performance, capacity, and reliability for business-critical storage applications. |
| Use Cases |
|---|
The Samsung PM1733 3.84TB NVMe SSD is widely deployed in enterprise data centers requiring high-throughput storage for business-critical applications, including database servers, virtual desktop infrastructure, and software-defined storage environments. How It's Used:
In each deployment scenario, the combination of Gen4 bandwidth and substantial capacity enables organizations to consolidate storage-intensive workloads while maintaining the performance levels required for production environments, supporting both operational efficiency and scalability as data demands grow. |