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High-Density Computing - Efficient versus Conventional Design

机译:高密度计算 - 高效与传统设计

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Data centers are expensive to build and operate. Large data centers cost $9-13/W to build [1] 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 [2], [3]. 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:数据中心构建和运营昂贵。大型数据中心耗费9-13 /次,才能构建[1],可以消耗超过四十次,高达超过两百次,典型建筑消耗的能量和资源量[2],[3]。因此,需要考虑空间和能量考虑,以便在评估高性能计算(HPC)安装的竞争设计时。本文介绍了使用从真实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和在IT设备分析中实现总体拥有(TCO)模型的影响的影响系统。本分析显示在规划企业级别的新HPC装置的增长时,展示了使用最新技术和IT战略的优势。数据还表示有效的设计可以显着降低HPC部署的空间,电源和冷却要求,同时保持性能和可靠性标准。

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