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Product Overview |
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The Solidigm D5-P5316 brings 15.36TB of QLC NAND storage to data center deployments in the compact E1.L form factor, pairing NVMe PCIe Gen4 performance with high-density packaging. Designed for read-centric workloads, it enables organizations to scale storage capacity efficiently while leveraging the performance benefits of flash-based NVMe architecture. |
General Information |
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| Brand | Solidigm |
| Part Number | SSDPFWNV153TZ1Z |
Technical Information |
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| Capacity | 15.36TB |
| NAND Flash | QLC |
| Memory Technology | Quad-Level Cell (QLC) |
| Form Factor | E1.L |
| Interface | PCIe Gen 4.0 x4 |
| MTBF | 2,000,000 hours |
| Hot Swappable | No |
| Hot Pluggable | No |
Performance |
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| Max Sequential Read | 6500 |
| Max Sequential Write | 3500 |
| Random Read | 900K |
| Random Write | 50K |
| Endurance (TBW) | 32 PBW |
Physical Characteristics |
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| Dimensions | 0.21 x 1.3 x 8.44 |
| Weight | 0.60 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, cULus |
Product Description |
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The Solidigm D5-P5316 15.36TB NVMe SSD delivers high-capacity storage designed for data center environments demanding scalable, cost-efficient solutions. Built on Quad-Level Cell (QLC) NAND architecture, this drive provides substantial capacity in a space-optimized E1.L form factor, enabling greater storage density per rack unit compared to traditional form factors. Key Features
The D5-P5316 is engineered for environments where capacity per square foot matters, delivering the storage density needed to consolidate large datasets without sacrificing the performance advantages of NVMe architecture. |
Use Cases |
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The Solidigm D5-P5316 is deployed in hyperscale data centers, cloud infrastructure, and content delivery networks where high-capacity storage at reduced cost-per-terabyte is critical. How It's Used:
Organizations running capacity-heavy read workloads benefit from the D5-P5316's ability to deliver NVMe-level performance at QLC cost points, enabling efficient storage tiering strategies across petabyte-scale environments. |