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Product Overview |
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The HPE DL380 G9 2U rack server combines powerful dual Intel Xeon processors with ample memory and flexible design to serve as a dependable foundation for various business workloads. It fits comfortably into data center racks and supports scalable configurations, making it a practical choice for professionals managing enterprise IT environments. |
General Information |
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| Brand | HPE |
| Part Number | 803860-B21 |
Technical Information |
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| Memory | 32GB (installed) |
| Processor | 2 x Intel Xeon E5-2690 v3 (2.6 GHz) |
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 DL380 G9 server offers a balanced combination of performance and flexibility. It's built for handling demanding business applications and data processing tasks. Often found in enterprise data centers, this 2U rack server is ideal for virtualization, database management, and other resource-intensive functions. IT professionals and system administrators rely on it for consistent uptime and manageable scalability. Key Features
This server is commonly deployed in medium to large enterprises where reliability and expandability matter. It handles critical workloads and supports a variety of IT infrastructure needs without frequent hardware changes. Its role often extends to virtualization hosts or database servers, providing a stable platform that balances performance with manageable energy consumption. |
Use Cases |
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The HPE DL380 G9 server is ideal for environments requiring reliable and scalable computing within a compact rack footprint. IT professionals managing mid-sized to large enterprise data centers will find its dual-processor setup and substantial memory capacity suitable for resource-intensive applications and virtualization tasks. How It's Used:
This server's architecture supports operational efficiency by enabling dense rack deployments without compromising on performance. Its scalability facilitates gradual resource expansion, helping IT teams maintain productivity while adapting to evolving infrastructure demands. |