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Product Overview |
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The HPE P35519-B21 DL180 Gen10 server is designed as a versatile workhorse for mid-range business needs. It combines a capable Intel Xeon Silver 4210R CPU with flexible storage options, making it a practical choice in rack setups where balance between performance and space is important. |
General Information |
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| Brand | HPE |
| Part Number | P35519-B21 |
Technical Information |
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| Memory | 16 GB DDR4 (1 x 16 GB RDIMM) |
| Processor | 1 x Intel Xeon Silver 4210R |
| Storage | 8 x SFF (2.5\") hot-plug drive bays (no HDD/SSD included) |
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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This server is built for medium-scale computing environments requiring dependable processing and storage capacity. Often found in small to medium businesses, it handles workloads such as virtualization, web hosting, and data management smoothly. Designed to fit in standard rack setups, it suits IT professionals who need a balance between power and compact design. The server’s modular storage allows easy expansion, making it practical for evolving data needs. Key Features
This server typically sits in data centers or business server rooms where dependable uptime is essential. It helps maintain smooth operations by balancing performance and energy consumption, fitting well into environments that require steady, manageable computing resources. |
Use Cases |
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The HPE Intel Xeon Silver 4210R DL180 Gen10 server is well-suited for medium-sized enterprises requiring reliable compute power in a compact rack environment. It supports businesses aiming to consolidate multiple workloads or run virtualization platforms efficiently while maintaining flexibility in storage configurations. How It's Used:
This server model facilitates scalable compute capabilities and adaptable storage options, enabling organizations to tailor their infrastructure to evolving workload demands while maintaining operational efficiency in rack-based deployments. |