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High-Density Computing - Efficient versus Conventional Design

机译:高密度计算-高效与常规设计

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Data centers are expensive to build and operate. Large data centers cost $9-13/W to build and can consume more than forty times, and up to over two hundred times, the amount of energy and resources consumed by a typical building. Therefore, space and energy considerations need to be accounted for when evaluating competing designs for high-performance computing (HPC) installations. This paper describes the results of an incremental cost and energy savings analysis conducted using data collected from a real-world case study to evaluate the impacts of efficient resource planning and implementing a total cost of ownership (TCO) model in the analysis of IT equipment and systems. The analysis presented demonstrates the advantages of using the latest technologies and IT strategies when planning the growth of new HPC installations at an enterprise level. The data also indicates an efficient design can significantly reduce the space, power, and cooling requirements of the HPC deployment while maintaining the performance and reliability criteria.
机译:数据中心的建设和运营成本很高。大型数据中心的建造成本为9-13美元/瓦,消耗的能源和资源量是典型建筑物的四十倍以上,甚至三百倍以上。因此,在评估高性能计算(HPC)安装的竞争设计时,需要考虑空间和能源方面的考虑。本文介绍了使用从实际案例研究中收集的数据进行的增量成本和节能分析的结果,以评估有效资源规划的影响并在IT设备和设备分析中实施总拥有成本(TCO)模型系统。所进行的分析证明了在企业级别计划新的HPC安装增长时使用最新技术和IT策略的优势。数据还表明,高效的设计可以在保持性能和可靠性标准的同时,显着减少HPC部署的空间,功耗和散热要求。

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