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IBM 8678-AC1 HS20 BladeCenter Configured to Order Server System
- HS20 BladeCenter server
- Configured-to-Order (CTO) system
- Designed for IBM BladeCenter chassis
- High-density computing solution
- Supports various processing and memory configurations
- Integrated management capabilities
- Scalable for enterprise workloads
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Within the contiguous US
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For government, enterprise, data center, and small business customers.
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Volume pricing and availability
Product Overview
The IBM 8678-AC1 is a configured-to-order HS20 BladeCenter server system. It is designed for high-density computing environments, offering powerful processing capabilities within the IBM BladeCenter chassis.
Technical Information
| Product Type | Blade Server |
| Model | HS20 |
Additional Specifications
| Chassis Compatibility | IBM BladeCenter |
| Configuration | Configured-to-Order (CTO) |
Product Description
The IBM 8678-AC1 represents a specific configuration of the IBM HS20 BladeCenter server. This blade server is engineered to slot into the IBM BladeCenter chassis, a modular platform designed for consolidating servers, storage, and networking components into a single, high-density enclosure. The HS20 model is known for its robust performance and reliability, making it suitable for a wide range of enterprise applications. As a Configured-to-Order (CTO) system, the 8678-AC1 allows organizations to customize the server's specifications to meet their precise requirements. This typically includes selecting specific processors (CPUs), memory (RAM) capacities, and sometimes storage options, ensuring that the server is optimized for its intended workload. This flexibility is a key advantage for businesses looking to tailor their IT infrastructure efficiently. The integration within the BladeCenter ecosystem provides significant benefits, including simplified management, reduced cabling, and enhanced power and cooling efficiency compared to traditional rack-mount servers. The HS20 blade server, in its 8678-AC1 configuration, is a powerful and adaptable computing resource for data centers aiming for consolidation and improved operational efficiency.
