An Advanced Cold Plate Liquid Cooling Rack Design for Hyperscale Data Center

Yuehlin Tsai, Guilin Wang, Yuehong Jin, Sheng Li, Wenyi Fang, Guofeng Chen, Peng Cao, Jun Zhang, Yuehong Fan, Yuyang Xia, Wenbin Tian, Hang Cheng, Xingping Ruan, Hongxing Zhou, N. Ahuja, Qing Qiao, Mohan J. Kumar
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引用次数: 3

Abstract

As the emerging business models and advanced customer experience is driving an explosion of data at the era of 5G, data center has been evolving with increasingly powerful AI (Artificial Intelligence) computing capability for enhancing CSP (Cloud Service Provider) cloud service by data analytics in data centric world. High-performance computing, storage and networking are essential to achieve this. Meanwhile, energy efficiency, which is measured by PUE, is the mandatory design target for modern data center. The cold plate liquid cooling solution is one of crucial technologies to continual address the demand of higher performance computing at lower PUE. This paper introduces an advanced cold plate liquid cooling rack architecture for JD.COM data center as well as the key learnings from JD.com engineering practice and validation data, including system level liquid cooling design related ingredients’ design and selection, such as CPU cold plates, memory cold plates, leakage detection, and quick disconnects, etc. Moreover, JD.COM’s novel methodology for optimized CPU cold plate design as well as the implementation of whole-loop leakage detection in a JD.COM datacenter are also introduced.
一种用于超大规模数据中心的先进冷板液冷架设计
随着新兴的商业模式和先进的客户体验推动5G时代的数据爆炸,数据中心不断发展,AI(人工智能)计算能力日益强大,通过数据分析增强CSP(云服务提供商)云服务。高性能计算、存储和网络是实现这一目标的关键。同时,以PUE为衡量标准的能效是现代数据中心的强制性设计目标。冷板液冷解决方案是持续满足低PUE下高性能计算需求的关键技术之一。本文介绍了京东数据中心先进的冷板液冷机架架构,以及京东工程实践和验证数据中的关键经验,包括系统级液冷设计相关元件的设计和选择,如CPU冷板、内存冷板、泄漏检测、快速断开等。此外,还介绍了京东优化CPU冷板设计的新方法以及京东数据中心全回路泄漏检测的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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