Gartner Research


Published: 25 March 2022



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  • コンポーザブル・インフラストラクチャのアーリー・アダプターである大企業は、特定のワークロードとユースケースに関して、既存のインフラストラクチャを補完する目的で同テクノロジを展開している。

  • コンポーザブル・インフラストラクチャは、ハイプ・サイクルの幻滅期の谷に向かって急速に下降しておりインフラストラクチャ/オペレーション (I&O) の主要なユースケースでの採用率が想定を下回っている。

  • コンポーザブル・インフラストラクチャ・ソリューションの大半では、オペレーショナル・モデルの変更や自動化への投資が必要になる。



  • 人工知能 (AI) アクセラレータ、GPU (グラフィック・ プロセシング ・ユニット)、NVMe (不揮発性メモリ) ストレージといった高コストなコンポーネントの効率を改善するために、コンポーザブル・インフラストラクチャを選択する。

  • プロビジョニング・ツールや管理ツールにコンポーザブル・インフラストラクチャを組み込み、サービスとしての機能を実現する。

  • コンポーザブル・インフラストラクチャのコストとメリットを、従来型の代替インフラストラクチャと比較する。そのためには、既存の選択肢よりも効率や柔軟性、俊敏性の主要パフォーマンス指標 (KPI) が向上することを実証するよう、コンポーザブル・インフラストラクチャのベンダーに要求する。

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Hiroko Aoyama

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