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Product Overview |
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The HP 400GB MLC PCIe 3.0 x4 NVMe U.2 SSD offers a solid solution for enterprise environments that need reliable read-intensive storage. It fits neatly into standard 2.5-inch bays and uses NVMe for quick data access, making it a practical choice for servers focused on fast read performance rather than heavy write cycles. |
General Information |
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| Brand | HPE |
| Part Number | VO0400KEFJB |
Technical Information |
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| Capacity | 400GB |
| NAND Flash | MLC |
| Memory Technology | Multi-Level Cell (MLC) |
| Form Factor | U.2 |
| Interface | PCIe Gen 3.0 x4 |
| MTBF | 2,000,000 hours |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Dimensions | 15 x 69.85 x 100.2 mm |
| Weight | 1.10 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, TUV |
Product Description |
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This HP 400GB MLC PCIe NVMe SSD is built for data centers and enterprise environments where consistent read performance and durability matter. It's often found in storage arrays and servers requiring reliable storage without excessive write endurance demands. IT professionals managing large datasets or read-heavy applications benefit from its balance of speed and endurance. Key Features
This SSD is commonly deployed in enterprise servers where fast read operations are frequent, such as virtualization hosts or database servers. It offers dependable performance without over-investing in write endurance, making it practical for workloads that prioritize reading large datasets. |
Use Cases |
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The HP 400GB MLC PCIe 3.0 x4 NVMe U.2 SSD is engineered for enterprise data centers and server environments where read-intensive operations dominate. It benefits IT professionals managing large-scale storage systems that prioritize consistent read speed and durability over write-intensive workloads. How It's Used:
This SSD supports operational efficiency by providing sustained read speeds and endurance suited for value-driven enterprise applications. It aids scalability in environments where read performance directly impacts system responsiveness and workload throughput. |