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HP 494260-B21 ProLiant BL465c G5 AMD Opteron 2384 2.7GHz CPU 4GB RAM Blade Server
- Server Type: Blade Server
- Model: HP ProLiant BL465c G5
- Processor: AMD Opteron 2384
- Processor Speed: 2.7GHz
- RAM: 4GB
- Form Factor: Blade
- Designed for dense computing environments
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Product Overview
The HP 494260-B21 is a ProLiant BL465c G5 Blade Server configured with an AMD Opteron 2384 processor running at 2.7GHz and 4GB of RAM. It is designed for dense, high-performance computing environments.
Technical Information
| Server Type | Blade Server |
| Model | HP ProLiant BL465c G5 |
| Processor | AMD Opteron 2384 |
Additional Specifications
| Processor Speed | 2.7GHz |
| RAM | 4GB |
| Form Factor | Blade |
Product Description
The HP ProLiant BL465c G5, identified by SKU 494260-B21, is a high-density blade server designed to maximize computing power within a compact footprint. This specific configuration features an AMD Opteron 2384 processor, operating at a robust 2.7GHz clock speed, making it suitable for demanding server workloads that require significant processing power. The blade architecture allows for efficient power and cooling management within a shared chassis, ideal for data centers aiming to consolidate resources. Equipped with 4GB of RAM, this server provides a foundational level of memory for its intended applications. While this configuration is basic, the BL465c G5 platform is designed for expandability, allowing for upgrades to meet evolving performance requirements. The server's design prioritizes performance and density, making it a cost-effective solution for virtualization, web serving, and other compute-intensive tasks. As part of the ProLiant family, the BL465c G5 benefits from HP's robust server management tools and reliability features. Its blade form factor necessitates integration into an HP BladeSystem enclosure, which provides shared power, cooling, and networking infrastructure, further enhancing efficiency and reducing operational costs. This server is a solid choice for organizations seeking to deploy powerful computing resources in a scalable and efficient manner.


