IT團隊轉戰混合雲:AI驅動策略大變革

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IT 團隊計劃加強混合雲策略

根據 Rackspace 的一項調查,IT 團隊預計在未來兩年內,企業的雲策略將發生轉變。該調查針對 1,400 名 IT 決策者進行,結果顯示超過九成的受訪者預期將會有顯著的變化。

調查發現,近一半的企業計劃進行戰略調整,重點加強混合能力以推進 IT 目標。此外,每五名受訪者中就有一人打算投資於私有雲解決方案。

Rackspace 表示,人工智能正在推動這些策略的變化。Rackspace 的 AI、科技與可持續性總裁 Srini Koushik 指出:「隨著 AI 持續推動快速進展,IT 領導者正在重新評估他們的工作負載管理方法。與其更新現有基礎設施,他們更傾向於設計全新的雲策略,以滿足不斷變化的需求。」

深入分析

IT 團隊在企業從試點用例轉向採用助手、編碼工具和代理解決方案的過程中,重新評估了數據架構,檢視了安全風險,並調整了 AI 相關的技能。支撐這些技術的基礎設施也受到審視。

公共雲為企業提供了大型語言模型,並為開發者提供了構建生成式 AI 工具的方式。儘管有其好處,但數據隱私問題以及在超級雲平台上運行計算需求高的應用程式的潛在成本,使得企業開始重新思考其雲策略。

根據 Rackspace 的調查,超過三分之二的受訪者表示,他們的組織考慮將工作負載從公共雲重新部署到內部基礎設施。受訪者中有一半表示安全性和合規性是主要關注點,而 44% 則指出在公共雲中運行生成式 AI 的成本影響。

根據由技術費用管理解決方案提供商 Tangoe 委託進行的一項調查,許多組織在 AI 在雲中普及後,感受到了費用上的震驚,隨之而來的帳單也相應上升。

Tangoe 的首席產品官 Chris Ortbals 表示:「公共雲的成本上升如此之快,以至於人們開始說我們真的需要評估工作負載的去向。對於任何原因,仍然存在大量不適合公共雲的工作負載需求。」

全面現代化的應用程式和活動高峰期間的工作負載,通常是為公共雲的計費結構而優化的。根據組織的需求,大數據可以在公共或私有雲上運行。

根據 Rackspace 的調查,近九成的受訪者表示他們能夠在公共雲和私有雲之間無縫轉移工作負載。隨著混合策略涉及多個雲提供商,IT 團隊發現將數據在多個超級雲平台之間轉移的難度也在降低。

AWS、微軟和谷歌雲去年取消了一些數據轉移費用,降低了數據傳輸的成本。甲骨文也在多雲互操作性方面取得進展,與三大超級雲夥伴簽署了協議,將甲骨文數據庫硬件放置於他們的數據中心。

評論

這一調查結果顯示出企業對於雲技術的重視程度正在上升,尤其是混合雲的靈活性和成本效益。隨著 AI 的快速發展,企業不再僅僅依賴於傳統的公共雲解決方案,而是開始探索更合適的混合雲架構,以應對不斷變化的業務需求和技術挑戰。

這種轉變不僅反映了對成本的考量,也顯示出企業對數據安全和合規性的日益重視。在當前的數字化轉型浪潮中,企業必須在創新和風險管理之間找到平衡,以確保他們的 IT 策略能夠持續支持業務增長和競爭力。未來,企業在選擇雲解決方案時,可能會更加注重能否靈活應對市場變化和技術進步。

以上文章由特價GPT API KEY所翻譯及撰寫。而圖片則由FLUX根據內容自動生成。

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