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IBM 7998-60X BladeCenter JS12 Blade Server with 2-Way 3.8GHz Processor
- Blade Server
- IBM BladeCenter JS12 model
- 2-Way 3.8GHz Processor configuration
- Designed for high-performance computing (HPC)
- Dense compute density within BladeCenter chassis
- Scalable architecture
- Suitable for complex simulations and data analysis
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Typically 1-2 handling + 3-7 transit days
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For government, enterprise, data center, and small business customers.
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Product Overview
The IBM BladeCenter JS12 Blade Server is a high-performance computing node designed for demanding enterprise workloads. It features a dual-way 3.8GHz processor configuration, offering significant processing power in a blade form factor for dense, scalable deployments.
Technical Information
| Processor | 2-Way 3.8GHz Processor |
Additional Specifications
| Form Factor | Blade Server |
Product Description
The IBM BladeCenter JS12 Blade Server is a powerful computing node engineered for environments that require high-performance processing capabilities. This blade server is designed to be housed within an IBM BladeCenter chassis, enabling dense deployments of compute resources. It features a dual-way processor configuration, with each processor running at 3.8GHz, delivering substantial computational power for intensive applications. This server is particularly well-suited for high-performance computing (HPC) tasks, complex simulations, large-scale data analysis, and other computationally demanding workloads. The blade architecture allows for efficient power and cooling management, as well as simplified cabling and maintenance within the BladeCenter ecosystem. Its scalability is a key advantage, enabling organizations to easily expand their compute capacity by adding more blades. The IBM BladeCenter JS12 provides a robust platform for businesses and research institutions that need to tackle challenging computational problems. Its combination of high clock speeds, multiple processors, and the advantages of blade computing makes it a potent solution for accelerating critical workloads and driving innovation.
