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Product Overview |
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The HPE DL580 Gen10 server offers a powerful and flexible platform for critical business applications. It fits well in data centers requiring strong processing power and memory capacity, supporting a variety of demanding tasks from virtualization to large-scale analytics. |
General Information |
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| Brand | HPE |
| Part Number | P05671-B21 |
Technical Information |
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| Memory | 512GB DDR4 ECC RDIMM (configured — e.g. 8 x 64GB RDIMMs) |
| Processor | 4 x Intel Xeon 8260 (2nd Gen Intel Xeon Scalable / Cascade Lake) |
| Storage | 8 x SFF (2.5") hot-plug drive bays (8SFF) — supports SAS/SATA (actual drives depend on SKU) |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Product Description |
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The HPE DL580 Gen10 server is built for demanding enterprise environments where reliability and scalability matter. Often found in data centers, this server handles heavy virtualization, database management, and analytics tasks with ease. IT professionals and system administrators rely on it for its robust architecture and expandability. Key Features
This server commonly runs in enterprise data centers, handling virtualized environments or intensive database operations. Its reliability and capacity help businesses maintain continuous operations and adapt to growing workloads without interruption. |
Use Cases |
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The HPE DL580 Gen10 server is typically deployed in enterprise data centers where robust processing power and large memory capacity are essential. It is suited for IT teams managing mission-critical applications that demand high availability and scalability in virtualized or database-intensive environments. How It's Used:
This server architecture enables operational efficiency through its balanced compute and memory capabilities, allowing organizations to scale workloads without compromising performance. Its design supports sustained high throughput in environments where uptime and data integrity are paramount. |