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SHENZHEN, China, Jan. 17, 2024 /PRNewswire/ -- Huawei recently held a conference on the top 10 trends of data center installations in 2024 and published the corresponding White Paper. At the conference, Yao Quan, general manager of Huawei Data Center Facility Domain, defined the three characteristics of the data centers of the future: reliable, simplified and sustainable.
Trend 1: High reliability products and professional services are the key to ensuring safe and reliable data center operation
The concept of "full chain security" must be implemented throughout product design and manufacturing. By offering professional implementation and operation and maintenance services, we can reduce product failure rates, minimize post-disaster impacts, and improve the end-to-end warranty mechanism.
Trend 2: Distributed cooling architecture will become a better choice to ensure cooling security
Unlike centralized cooling architecture, distributed cooling architecture is more flexible in the sense that subsystems are independent of each other and failure of a single device does not have any impact on the operation of other devices.
Trend 3: Predictive maintenance will become a core feature of data center infrastructure
Data center maintenance is typically performed after an event. However, with the advent of intelligent computing era, post-event maintenance will be replaced by pre-event maintenance. To avoid accidents, the lifespan of vulnerable components, thermal runaway of devices, and leaks of the cooling system can be predicted.
Trend 4: Lifecycle network security protection system will become a shield for data center facilities
As digital and smart technologies continue to advance, network attacks occur more frequently. Software security should be based on a network security protection system during the life cycle from three dimensions: supply security, defense in depth, and operation and maintenance security.
Trend 5: Modular and prefabricated solution will become the optimal choice for fast and high-quality delivery
Compared with traditional construction, the prefabricated and modular solution features a shorter construction period and higher quality. It ensures high-quality on-site delivery and rapid implementation of the service, and significantly reduces waste generated by on-site construction.
Trend 6: Professional management platform makes data center operation and maintenance safer and more efficient
Data centers are showing a tendency to scale intensively. Consequently, the complexity of general operation and maintenance increases dramatically. A professional management platform can significantly improve the efficiency and accuracy of data center operation and maintenance.
Trend 7: Convergence of air and liquid cooling becomes the preferred architecture in uncertain service requirement scenarios
The industry is moving from general purpose computing to intelligent computing. In a data center there may be scenarios supported by general purpose computing and intelligent computing. Therefore, the convergence of air cooling and liquid cooling will become a preferred architecture, where the ratio of air cooling and liquid cooling can be adjusted to flexibly adapt to different needs.
Trend 8: Indirect evaporative cooling remains the best cooling scheme now and in the future
Considering the cooling sources, the indirect evaporative cooling system has obvious advantages over the chilled water system in terms of architecture, efficiency and operation and maintenance. The distributed cooling architecture of an indirect evaporative cooling system effectively prevents single-point failure. By maximizing the utilization of free cooling sources, only one heat exchange is required. In cold regions, compressors can remain idle most of the time, achieving optimal PUE.
Trend 9: To further reduce PUE, the optimal solution is to shift focus on efficient components towards system engineering optimization
Traditional data centers focus on improving equipment efficiency. However, due to physical limitations, improving component efficiency is about to hit a bottleneck. Therefore, the focus on efficient components should shift to system engineering optimization, with S-ECO mode as an example.
Trend 10: AI optimization will become the optimal choice for intelligent energy efficiency optimization of existing data centers
Unlike traditional ways, AI energy efficiency optimization solution optimizes the energy efficiency of existing data centers with pre-built AI algorithms and big data models. Furthermore, since AI optimization does not depend on the experience of relevant personnel, it presents rapid optimization and excellent effects.
Huawei will insist on creating reliable, simplified and sustainable products and solutions for data center facilities to help customers and partners build a green and reliable computing infrastructure by enabling every watt to generate more computing power, as part of our efforts to boost the digital age.
Download the white paper to learn more: https://digitalpower.huawei.com/attachme...
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