Data Storage | 資料儲存

  • 資料儲存是什麼?
    處理器是運算力的火車頭,數據則是運算的「燃料」,協助處理器執行指令和產出有用的結果。從前,人類把數據提供給電腦的方式,是透過紙製的打孔卡,現在人類發明了HDD、SSD、虛擬和雲端儲存,各種保管數據的方式,都是所謂的資料儲存。

    一座資料中心當中,「儲存層」扮演資料儲存的功能,透過RAID(容錯式獨立磁碟陣列)等技術,加強系統的冗餘設計和可靠程度。為了提升可用性,資料中心的管理者要事先擬定災難恢復計畫(DRP),做好資料儲存的風險管理。

    儲存裝置的效率及可用性,可透過軟體定義儲存(SDS)等虛擬化技術來提升;或是可結合網路設備,建立網路附加儲存裝置(NAS)儲存區域網路(SAN)等架構。使用非揮發性記憶體(NVMe)的介面規範,可改善資料傳輸效率。

  • 為何需要?
    資料儲存是許多重要科技發明的基礎。所謂的大數據,就是分析儲存在網路上的海量資料,從中找出新的價值。機器學習深度學習的概念,是使用人工智慧分析大量資料,進行AI的訓練與推論。每當您在社群媒體上發表新的照片,或是從遠端與辦公室的電腦連線,您都是在利用公有雲或私有雲的資料儲存裝置。

  • 技嘉的特色
    技嘉科技的S系列儲存伺服器產品,專門為資料儲存所設計,提供SDS虛擬化技術、RAID冗餘設計、及NVMe高效率介面規範。技嘉的儲存伺服器提供大量的插槽(bay),加強伺服器可擴充性。白金與鈦金級的80 Plus認證規範,優化電源供應器(PSU)的電力使用效率,有助於降低使用者的營業費用。TPM 2.0模組確保資料儲存的安全性,保護密碼、密鑰、數位憑證等敏感資訊不被外人索取。

  • WE RECOMMEND
    RELATED ARTICLES
    How to Benefit from AI  In the Healthcare & Medical Industry

    AI & AIoT

    How to Benefit from AI In the Healthcare & Medical Industry

    If you work in healthcare and medicine, take some minutes to browse our in-depth analysis on how artificial intelligence has brought new opportunities to this sector, and what tools you can use to benefit from them. This article is part of GIGABYTE Technology’s ongoing “Power of AI” series, which examines the latest AI trends and elaborates on how industry leaders can come out on top of this invigorating paradigm shift.
    How to Pick the Right Server for AI? Part Two: Memory, Storage, and More

    Tech Guide

    How to Pick the Right Server for AI? Part Two: Memory, Storage, and More

    The proliferation of tools and services empowered by artificial intelligence has made the procurement of “AI servers” a priority for organizations big and small. In Part Two of GIGABYTE Technology’s Tech Guide on choosing an AI server, we look at six other vital components besides the CPU and GPU that can transform your server into a supercomputing powerhouse.
    CPU vs. GPU: Which Processor is Right for You?

    Tech Guide

    CPU vs. GPU: Which Processor is Right for You?

    Besides the central processing unit (CPU), the graphics processing unit (GPU) is also an important part of a high-performing server. Do you know how a GPU works and how it is different from a CPU? Do you know the best way to make them work together to deliver unrivalled processing power? GIGABYTE Technology, an industry leader in server solutions that support the most advanced processors, is pleased to present our latest Tech Guide. We will explain the differences between CPUs and GPUs; we will also introduce GIGABYTE products that will help you inject GPU computing into your server rooms and data centers.