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Product Overview |
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The HP 3.84TB Triple-Level Cell PCI Express NVMe 4.0 SSD is a high-capacity, read-intensive drive designed for server use, especially within ProLiant Gen8 environments. It offers fast data access through its PCIe 4.0 interface and fits into a hot-pluggable U.3 2.5-inch slot, making it a practical choice for enterprise storage solutions. |
General Information |
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| Brand | HP |
| Part Number | P19817-K21 |
Technical Information |
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| Capacity | 3.84TB |
| NAND Flash | 3D TLC |
| Memory Technology | Triple-Level Cell (TLC) |
| Form Factor | U.3 |
| Interface | PCIe Gen 4.0 x4 |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Weight | 1.10 |
| Condition | Refurbished |
Product Description |
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This HP 3.84TB solid state drive is built to handle demanding read-intensive applications, delivering reliable and fast storage for enterprise environments. It is often found in data centers and server setups where quick access to large datasets is critical. Designed for ProLiant Gen8 systems, this SSD fits into a 2.5-inch U.3 slot and supports hot-swapping, making maintenance and upgrades more convenient. Key Features
Typically deployed in enterprise servers and storage arrays, this SSD helps optimize performance for applications such as virtualization, databases, and content delivery. Users benefit from its balance of capacity, speed, and reliability, which are essential for maintaining efficient workflows. |
Use Cases |
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The HP 3.84TB TLC PCIe 4.0 NVMe Read Intensive U.3 SSD is optimized for environments requiring high-speed data retrieval with substantial storage capacity. It is ideal for enterprises running intensive read workloads such as database querying, virtualization, or media streaming within ProLiant Gen8 server infrastructures. How It's Used:
This SSD supports operational efficiency by delivering fast access to read-heavy datasets while maintaining compatibility with existing server hardware. Its scalability and hot-pluggable design help IT teams manage storage resources dynamically, minimizing downtime and optimizing workload performance. |