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HPE 806356-AA1 Apollo 4200 Gen9 Server 1x Intel Xeon E5-2620V3 2.40GHz Hexa-core (6 Core) 1x 1400-Wa...
- Server Type: Apollo 4200 Gen9
- Processor: 1x Intel Xeon E5-2620V3
- Processor Cores: 6 Cores (Hexa-core)
- Processor Speed: 2.40GHz
- Power Supply: 1x 1400-Watt
- High storage density
- Suitable for big data and analytics
- Efficient data processing
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Product Overview
The HPE 806356-AA1 Apollo 4200 Gen9 server is a storage-optimized system featuring an Intel Xeon E5-2620V3 processor. With 6 cores and a 2.40GHz clock speed, it offers efficient performance for data-intensive tasks, complemented by a 1400-watt power supply.
Technical Information
| Product Type | Server |
| Model | Apollo 4200 Gen9 |
| SKU | 806356-AA1 |
| Processor | 1x Intel Xeon E5-2620V3 |
Additional Specifications
| Processor Cores | 6 Cores (Hexa-core) |
| Processor Speed | 2.40GHz |
| Power Supply | 1x 1400-Watt |
Product Description
The HPE Apollo 4200 Gen9 server is engineered for environments that demand exceptional storage density and performance for data-intensive applications. It is an ideal choice for big data analytics, cloud storage, and large-scale data repositories where maximizing storage capacity within a minimal rack footprint is crucial. The server's design prioritizes efficient use of space, allowing for a high number of hard drives or SSDs to be installed. This specific configuration, SKU 806356-AA1, is powered by a single Intel Xeon E5-2620V3 processor. This hexa-core CPU operates at a frequency of 2.40GHz, providing capable performance for processing and managing large datasets. The system includes a robust 1400-watt power supply, ensuring consistent and reliable power delivery to all components, including the extensive storage array. The Apollo 4200 Gen9 series offers a compelling blend of scalability, efficiency, and performance. It enables organizations to deploy powerful storage solutions that can grow with their data needs, while maintaining a compact and manageable server footprint. This makes it a strategic asset for businesses looking to leverage their data effectively.
