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✔ 1. Storage capacity of 450 GB ideal for business level data needs.
✔ 2. The 4GB/S fiber channel guarantees fast and constant data transfer speeds.
✔ 3. The 3.5-inch form factor is adapted to a variety of server configurations.
✔ 4. Durable construction guarantees stability under heavy workloads.
✔ 5. Designed for minimal latency, which guarantees smooth operation.
Product Overview |
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| Turn on your storage game with HPE 450GB FC 4GB/S hard Drive . With the connectivity of the fast fiber channel, the 3.5-inch form factor and the robust design, is the ideal selection for business grade performance and reliability long-lasting Perfect to handle large workloads without problems. |
General Information |
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|---|---|
| Brand | HPE |
| Part Number | BF450DASTK |
Technical Information |
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|---|---|
| Capacity | 450GB |
| Drive Type | Internal Hard Drive |
| Form Factor | 3.5-inch |
| Spindle Speed | 4Gb/s |
| Hybrid Drive | No |
Interfaces/Ports |
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|---|---|
| Interface | Fibre Channel |
Physical Characteristics |
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|---|---|
| Condition | Refurbished |
| Weight | 1.76 |
Miscellaneous |
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|---|---|
| Assembly Required | No |
Product Description |
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HPE 450 GB hard drive with 4GB/S fiber channel (FC) is your confidence partner to address intensive data storage tasks. Its capacity of 450 GB guarantees a sufficient room for applications, databases and file backup copies. Key Features and Specifications:
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Use Cases |
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The HPE BF450DASTK 450 GB FC 4GB/S hard drive is optimized for enterprise storage environments where high throughput and consistent data access are critical. It is suited for server and storage arrays in medium to large data centers, particularly those leveraging fiber channel SANs to support virtualization, database management, or transactional workloads. How It's Used:
By offering stable fiber channel connectivity and a robust form factor, this drive helps maintain operational efficiency and scalability in environments demanding high availability. Its design ensures sustained performance, enabling IT teams to manage intensive workloads without compromising on response times or data integrity. |