PUE | 電力使用效率

  • 電力使用效率是什麼?
    PUE(Power Usage Effectiveness,電力使用效率)是計算資料中心節能省電的標準,計算的方式是資料中心的「總用電量」與「供應IT設備的電量」之比。PUE值越低,代表機房空調冷卻時所耗的電力就會更少,理想的 PUE 比率為 1.0:100%,意即數據中心所提供的電完全用於電腦運算。然而事實上,機房內卻有大量的電力被用於散熱(機器高速運轉時會產生大量熱能,若沒有相應的冷卻系統,將導致機器因過熱而停擺)、照明和其他耗電的開銷,也因此統機房的 PUE 比率始終大於 1.0。

  • 為何需要? 誰會用到?
    維持大型伺服器每日運作的費用(如電費)相當可觀,長年累月下來,甚至可能比當初建立機房設備、購買硬體的初始成本更大。 因此,企業不斷思考如何降低物理伺服器及散熱設施所需的用電量,而其中高耗電的傳統冷卻系統(如冷氣空調),即是降低PUE值的重點項目。

    降低機房 PUE 值有許多方法,如:捨棄傳統風扇冷卻,改將伺服器本身直接浸泡非導電流體中,此種液態冷卻裝置,能有效地減少(或根本不再需要)額外的空調成本。市面上許多大型企業,也透過直接將數據中心設置於寒冷的氣候中來降低 PUE 值,北歐、俄羅斯或阿拉斯加都擁有良好的環境條件。微軟甚至直接將資料伺服器沉入海底,嘗試更好的冷卻效果。

  • 技嘉的特色
    GIGABYTE 與閉環液體冷卻系統(如 CoolIT 和 Asetek)以及浸沒式冷卻系統(如 LiquidStack 和 Submer)的供應商建立了緊密的合作關係,以提供各種不同的解決方案,幫助客戶降低 PUE值。 通過與這些公司合作,GIGABYTE 可以提供經過修改,測試和驗證的服務器,以便與這些不同的解決方案配合使用,從而實現快速,輕鬆的部署。

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    Lowell Observatory Looks for Habitable Exoplanets with GIGABYTE Servers
    Arizona’s Lowell Observatory is studying the Sun with GIGABYTE’s G482-Z50 GPU Server in an effort to filter out “stellar noise” when looking for habitable planets outside of our Solar System. The server’s AMD EPYC™ processors, parallel computing capabilities, excellent scalability, and industry-leading stability are all features that qualify it for this astronomical task, making the discovery of a true “Twin Earth” achievable within our lifetime.
    How to Pick a Cooling Solution for Your Servers? A Tech Guide by GIGABYTE
    As CPUs and GPUs continue to advance, they consume more power and generate more heat. It is vital to keep temperature control in mind when purchasing servers. A good cooling solution keeps things running smoothly without hiking up the energy bill or requiring persistent maintenance. GIGABYTE Technology, an industry leader in high-performance servers, presents this tech guide to help you choose a suitable cooling solution. We analyze three popular options—air, liquid, immersion—and demonstrate what GIGABYTE can do for you.
    [Video] GIGABYTE Server Liquid Cooling Solutions
    GIGABYTE can now offer various server platforms with liquid cooling technology, such as direct-to-chip liquid cooling (liquid to liquid or liquid to air), one-phase oil immersion or two-phase liquid immersion technologies. Liquid cooling systems can support a greater density of CPUs and GPUs, enabling better compute performance in a given amount of space, as well as helping customers to reduce their power consumption for cooling infrastructure, to achieve a better data center PUE.
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