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IBM 7875A3G BladeCenter HS23 Intel Xeon E5-2609 V2 Quad-Core 2.50GHz 10MB Cache CPU 8GB RAM Blade Se...
- Blade server form factor
- Processor: Intel Xeon E5-2609 V2 Quad-Core 2.50GHz
- Cache: 10MB L3 Cache
- Memory: 8GB RAM
- Designed for IBM BladeCenter HS23 chassis
- Supports virtualization and high-performance computing
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Product Overview
The IBM 7875A3G is a BladeCenter HS23 server blade. It is powered by an Intel Xeon E5-2609 V2 Quad-Core 2.50GHz processor and comes equipped with 8GB of RAM. This blade server is designed for high-density computing environments within the IBM BladeCenter chassis.
Technical Information
| Product Type | Blade Server |
| Model | BladeCenter HS23 |
| Processor | Intel Xeon E5-2609 V2 |
| Processor Speed | 2.50GHz |
Additional Specifications
| Cores | Quad-Core |
| Cache | 10MB L3 Cache |
| Memory | 8GB RAM |
Product Description
The IBM 7875A3G represents a compute node within the IBM BladeCenter ecosystem, specifically the HS23 model. This blade server is engineered to deliver significant processing power in a compact, modular form factor, ideal for data centers aiming to maximize computing density and efficiency. At its heart is the Intel Xeon E5-2609 V2 processor, a quad-core CPU operating at 2.50GHz, offering a balance of performance and power efficiency for a wide range of enterprise workloads. This specific configuration includes 8GB of RAM, providing sufficient memory for many standard server applications, including virtualization, web serving, and database operations. The processor's 10MB L3 cache further enhances performance by reducing memory access latency. The HS23 blade server is designed to integrate seamlessly into the IBM BladeCenter chassis, allowing for centralized power, cooling, and management of multiple compute, storage, and networking modules. The IBM 7875A3G is a versatile platform suitable for various enterprise computing needs. Its architecture supports features beneficial for virtualization, high-performance computing (HPC) clusters, and consolidation of multiple physical servers into a single blade chassis. This approach leads to reduced operational costs, simplified management, and improved resource utilization within the data center.
