{"templateName":"blog-page","cssClassNames":"blog-page page basicpage summit-page","allowedRenditionsWidth":["320","480","640","768","960","1200","1440","1920"],"description":"Snowflake アダプティブコンピュートがAWS、Azure、Google Cloudの一部リージョンで一般提供されました。手動でのチューニングを必要とせず、変動するワークロードやAIワークロードの価格性能比を向上させます。","language":"ja","title":"アダプティブコンピュート：AWS、Azure、Google Cloudの一部リージョンで一般提供を開始","analyticsPageType":"homepage","analyticsCategory":"general","analyticsSubCategory":"","excludeFromAnalytics":false,":mappedPath":"/ja/blog/adaptive-compute-ga-azure-google-cloud/",":type":"snowflake-site/components/structure/page",":items":{"root":{"columnCount":12,"columnClassNames":{"experiencefragment-banner":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-sub-header":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-pre-footer":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-header":"aem-GridColumn aem-GridColumn--default--12","markup_editor-table":"aem-GridColumn aem-GridColumn--default--12","responsivegrid":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-footer":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12","container_47873732":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12",":items":{"experiencefragment-banner":{"id":"experiencefragment-b51ed117c9","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/pushdown-banner/pushdown-banner-blank/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/pushdown-banner/pushdown-banner-blank.xfmodel.json"},"experiencefragment-header":{"id":"experiencefragment-031a895307","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/mega-nav-header/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/mega-nav-header/master.xfmodel.json","languageNavPath":"/content/snowflake-site/global/ja/blog/adaptive-compute-ga-azure-google-cloud.languagenav.json","appliedCssClassNames":"snowflake-sticky-nav-host"},"experiencefragment-sub-header":{"id":"experiencefragment-15f534143e","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/sub-navigation/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/sub-navigation/master.xfmodel.json"},"responsivegrid":{"columnCount":12,"columnClassNames":{"container_breadcrumb":"aem-GridColumn aem-GridColumn--default--12","container_main_content":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12",":items":{"container_breadcrumb":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"breadcrumb":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"blog-page-breadcrumb-indentation",":type":"snowflake-site/components/container",":items":{"breadcrumb":{"id":"breadcrumb-2edb19c8a6","breadcrumbItems":[{"title":"Blog","path":"/ja/blog/","active":false},{"title":"製品 & テクノロジー","path":"/ja/blog/product-and-technology/","active":false},{"title":"Snowflake アダプティブコンピュート：実環境での価格性能比が向上し、AWS、Azure、GCPで利用可能に","path":"/ja/blog/adaptive-compute-ga-azure-google-cloud/","active":false}],":type":"snowflake-site/components/blog/breadcrumb"}},":itemsOrder":["breadcrumb"],"appliedCssClassNames":"snowflake-container"},"container_main_content":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"flexible_column_container":"aem-GridColumn aem-GridColumn--default--12","related_content":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"main-content",":type":"snowflake-site/components/container",":items":{"flexible_column_container":{"id":"flexible-column-container-82b547bbe2","propertiesId":"snowflake-blog-template-main-container","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":true,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-94278386cb",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container_hero":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"blog_hero":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-edb0ed7e5b",":type":"snowflake-site/components/container",":items":{"blog_hero":{"id":"blog-hero-96c34f9839","linkedInShareUrl":"https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fwww.snowflake.com%2Fcontent%2Fsnowflake-site%2Fglobal%2Fja%2Fblog%2Fadaptive-compute-ga-azure-google-cloud&title=Snowflake+%E3%82%A2%E3%83%80%E3%83%97%E3%83%86%E3%82%A3%E3%83%96%E3%82%B3%E3%83%B3%E3%83%94%E3%83%A5%E3%83%BC%E3%83%88%EF%BC%9A%E5%AE%9F%E7%92%B0%E5%A2%83%E3%81%A7%E3%81%AE%E4%BE%A1%E6%A0%BC%E6%80%A7%E8%83%BD%E6%AF%94%E3%81%8C%E5%90%91%E4%B8%8A%E3%81%97%E3%80%81AWS%E3%80%81Azure%E3%80%81GCP%E3%81%A7%E5%88%A9%E7%94%A8%E5%8F%AF%E8%83%BD%E3%81%AB","twitterShareUrl":"https://x.com/intent/post?url=https%3A%2F%2Fwww.snowflake.com%2Fcontent%2Fsnowflake-site%2Fglobal%2Fja%2Fblog%2Fadaptive-compute-ga-azure-google-cloud&text=Snowflake+%E3%82%A2%E3%83%80%E3%83%97%E3%83%86%E3%82%A3%E3%83%96%E3%82%B3%E3%83%B3%E3%83%94%E3%83%A5%E3%83%BC%E3%83%88%EF%BC%9A%E5%AE%9F%E7%92%B0%E5%A2%83%E3%81%A7%E3%81%AE%E4%BE%A1%E6%A0%BC%E6%80%A7%E8%83%BD%E6%AF%94%E3%81%8C%E5%90%91%E4%B8%8A%E3%81%97%E3%80%81AWS%E3%80%81Azure%E3%80%81GCP%E3%81%A7%E5%88%A9%E7%94%A8%E5%8F%AF%E8%83%BD%E3%81%AB","facebookShareUrl":"https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww.snowflake.com%2Fcontent%2Fsnowflake-site%2Fglobal%2Fja%2Fblog%2Fadaptive-compute-ga-azure-google-cloud","showClaude":true,"showChatGpt":true,"authors":[{"authorImage":{"id":"image-c919c16eb9","height":"1254","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--4ba49e84-b888-435d-873b-ee258a5e860e/likhita-thogersen.png?preferwebp=true&quality=85","alt":"Headshot-style photo of Likhita Thogersen of Snowflake","lazyEnabled":true,"width":"1254",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-14384587b8","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/likhita-thogersen/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Likhita Thogersen"}},{"authorImage":{"id":"image-54b0f88e70","height":"400","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--8abfe0e1-f452-4f0c-85cb-2c21dbcc9bef/tehzeeb-versey-patel.png?preferwebp=true&quality=85","alt":"Avatar headshot of Tehzeeb Versey-Patel of Snowflake","lazyEnabled":true,"width":"400",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-51877c938b","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/tehzeeb-versey-patel/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Tehzeeb Versey-Patel"}}],"image":{"id":"image-dfbb25d1f2","height":"720","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--4554126e-ef02-48b3-a18f-ec6c5ac4537c/25-general.jpg?preferwebp=true&quality=85","lazyEnabled":true,"width":"1680",":type":"snowflake-site/components/image"},"timeToRead":"3","publicationDate":"JUL 29, 2026","tag":{"tagText":"製品 & テクノロジー","tagColor":"#3F808A"},"title":{"lines":["Snowflake アダプティブコンピュート：実環境での価格性能比が向上し、AWS、Azure、GCPで利用可能に"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"columnCount":12,"columnClassNames":{"image":"aem-GridColumn aem-GridColumn--default--12","code_snippet":"aem-GridColumn aem-GridColumn--default--12","blog_text_1573939951":"aem-GridColumn aem-GridColumn--default--12","blog_text":"aem-GridColumn aem-GridColumn--default--12","image_1014883481":"aem-GridColumn aem-GridColumn--default--12","blog_text_725549142":"aem-GridColumn aem-GridColumn--default--12","blog_text_1418044943":"aem-GridColumn aem-GridColumn--default--12","blog_text_683512397":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","appliedCssClassNames":"snowflake-layout-container-inner-padding-small",":items":{"blog_text":{"id":"blog-text-7fca2cce28","text":"\u003Cp\u003EAIワークロードは、予測可能なパターンに従うとは限りません。ダッシュボードの利用が急増したり、エージェントのアクティビティが変動したりするほか、モダンなAIアプリはデータ準備、検索、推論のリクエストにおいて予測不可能なバーストを発生させます。ワークロードの実行場所に関係なく、コンピュートは継続的なチューニングを必要とせずに、これらの変化に対応できる俊敏性を備えている必要があります。\u003C/p\u003E\n\u003Cp\u003ESnowflake アダプティブコンピュートは、変動するワークロードの需要に合わせてコンピュートリソースを自動的に調整し、時間のかかる手動でのチューニングやメンテナンスの必要性を軽減します。新たにリリースされた機能強化は、変動するワークロードに対して実環境での価格性能比を向上させるように設計されています。このメリットは、（以前に発表された\u003Ca href=\"https://www.snowflake.com/en/blog/adaptive-compute-generally-available/?utm_source=linkedin&utm_medium=sm-boost&utm_campaign=compete&utm_cta=button&utm_content=1781617519\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EAWSでの提供\u003C/a\u003Eに加えて）Microsoft AzureおよびGoogle Cloudをご利用のお客様にも一般提供されるようになりました。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image":{"id":"image-f4776b554d","lazyEnabled":true,":type":"snowflake-site/components/image"},"blog_text_1418044943":{"id":"blog-text-095536f17f","text":"\u003Ch2\u003E多様なAIワークロード向けに構築されたコンピュートエンジン \u003C/h2\u003E\n\u003Cp\u003Eアダプティブコンピュートは、ピーク時のトラフィックに備えてオーバープロビジョニングを行うか、速度低下のリスクを冒すかの二者択一を迫るのではなく、変化するワークロードの需要に応じてコンピュートリソースを継続的に調整するように設計されています。これにより、手動でのチューニングを減らしながらパフォーマンスを維持できるため、チームはウェアハウスの管理ではなく、インサイトの提供に集中できます。本日の発表により、アダプティブコンピュートの提供がAWS、Microsoft Azure、Google Cloudの一部リージョンに拡大されたことで、この適応性の高いメリットをマルチクラウド環境全体に展開できるようになりました。\u003C/p\u003E\n\u003Ch2\u003E変動するワークロードにおける価格性能比の向上\u003C/h2\u003E\n\u003Cp\u003Eアダプティブコンピュートの最新の機能強化により、1日を通して需要が変動したり、予測不可能に急増したりする、同時実行性が低く変動の激しいコンピュートプロファイルのワークロードにおいて、実環境での価格性能比が向上します。 \u003C/p\u003E\n\u003Cp\u003E2026年6月にリリースされたアダプティブコンピュートのバージョンと比較して、ワークロードの形状によっては、最大30%のコスト削減が見込めます。つまり、要求が厳しく動的な複数のタイプのワークロードを抱える組織にとって、アダプティブコンピュートはさらに魅力的な選択肢となります。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image_1014883481":{"id":"image-117a7486f9","lazyEnabled":true,"title":"Based on single-user 10TB TPC DS benchmarks when comparing Adaptive Compute on 06/16 in comparison to Adaptive Compute on 7/23 which contains the cost improvement. Actual savings may vary by cloud, region, warehouse size, workload and usage pattern. ",":type":"snowflake-site/components/image"},"blog_text_725549142":{"id":"blog-text-31290e7bb6","text":"\u003Ch2\u003EAzureおよびGoogle Cloudの一部リージョンで利用可能に \u003C/h2\u003E\n\u003Cp\u003Eアダプティブコンピュートは、\u003Ca href=\"https://www.snowflake.com/en/blog/adaptive-compute-generally-available/?utm_source=linkedin&utm_medium=sm-boost&utm_campaign=compete&utm_cta=button&utm_content=1781617519\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003E6月に発表された\u003C/a\u003EAWSリージョンに加え、Microsoft AzureおよびGoogle Cloudの一部リージョンにおいて、Enterprise+アカウント向けに一般提供されるようになりました。\u003C/p\u003E\n\u003Ch4\u003EMicrosoft Azure\u003C/h4\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E南北アメリカ：\u003C/b\u003ECentral US（アイオワ）、East US 2（バージニア）\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003Eヨーロッパ：\u003C/b\u003EWest Europe（オランダ）、North Europe（アイルランド）、UK South（ロンドン）、Switzerland North（チューリッヒ）、Sweden Central（イェヴレ）\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch4\u003EGoogle Cloud\u003C/h4\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E南北アメリカ：\u003C/b\u003Eus-east4（北バージニア）\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003Eヨーロッパ：\u003C/b\u003Eeurope-west 2（ロンドン）、europe-west 3（フランクフルト）、europe-west 4（オランダ）\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003Eアジア太平洋：\u003C/b\u003EAustralia-Southeast 2（メルボルン）\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch4\u003EAWS\u003C/h4\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E南北アメリカ：\u003C/b\u003EUS West 2（オレゴン）、US East 2（オハイオ）\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003Eヨーロッパ：\u003C/b\u003EEU West 1（アイルランド）、EU Central 1（フランクフルト）\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003Eアジア太平洋：\u003C/b\u003EAP Northeast 1（東京）、AP Southeast 2（シドニー）\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch2\u003Eアダプティブコンピュートの始め方\u003C/h2\u003E\n\u003Cp\u003EすでにSnowflakeをご利用の場合、アダプティブコンピュートへの移行はシームレスに行えます。インフラストラクチャを再構築したり、既存のパイプラインやスクリプト内のウェアハウス名を変更したりする代わりに、簡単な構成変更を行うだけで、ダウンタイムなしで既存のSnowflake標準ウェアハウスをアップグレードできます。これにより、既存の構成、アクセス制御ポリシー、監視メトリクスをそのまま維持しながら、本番環境やAIワークロードをスムーズに移行できます。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"code_snippet":{"id":"code-snippet-862b2b4dad","codeSnippet":"alter warehouse \u003Cwarehouse_name\u003E set warehouse_type='ADAPTIVE';","multiLine":true,":type":"snowflake-site/components/code-snippet"},"blog_text_683512397":{"id":"blog-text-a665f12b92","text":"\u003Cp\u003Eセットアップのガイダンスや、アナリティクス、スループット、DMLワークロードにわたるベンチマーク結果については、\u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/ja/blog/adaptive-compute-generally-available/?utm_source=linkedin&utm_medium=sm-boost&utm_campaign=compete&utm_cta=button&utm_content=1781617519\"\u003E6月のリリースに関する記事\u003C/a\u003Eをご確認ください。\u003C/p\u003E\n\u003Ch2\u003E次のステップ\u003C/h2\u003E\n\u003Cp\u003ESnowflakeのコンピュートの強化と、運用上の複雑さを軽減しながらより優れたパフォーマンスを実現することで組織がどのようなメリットを得られるかについて、詳細をご確認ください。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://youtu.be/_KiqMbX3dnM?t=2829\"\u003E Snowflake AI Pulse\u003C/a\u003Eウェビナーを視聴して、アダプティブコンピュートがAIを成功に導く仕組みを確認する\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/ja/product/features/adaptive-compute/?utm_campaign=compete&utm_source=linkedin&utm_medium=sm-boost&utm_content=1781617519&utm_cta=button\"\u003Eアダプティブコンピュート\u003C/a\u003Eの機能とユースケースを確認する\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E提供状況、要件、セットアップの詳細について\u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://docs.snowflake.com/ja/user-guide/warehouses-adaptive?utm_campaign=compete&utm_source=linkedin&utm_medium=sm-boost&utm_content=1781617519&utm_cta=button\"\u003Eドキュメント\u003C/a\u003Eを確認する\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_text_1573939951":{"id":"blog-text-93b12ef874","text":"\u003Cp\u003E \u003C/p\u003E\n\u003Cp\u003E\u003Ci\u003E将来の見通しに関する記述：本コンテンツには、当社の将来の製品提供に関するものを含め、将来予想に関する記述が含まれていますが、いかなる製品の提供をお約束するものでもありません。実際の結果や提供内容は異なる場合があり、既知および未知のリスクや不確実性の影響を受けます。詳細については、最新の四半期報告書（10-Q）をご覧ください。\u003C/i\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"}},":itemsOrder":["blog_text","image","blog_text_1418044943","image_1014883481","blog_text_725549142","code_snippet","blog_text_683512397","blog_text_1573939951"],":type":"wcm/foundation/components/responsivegrid"},"responsivegrid_premium_content_banner":{"columnCount":12,"columnClassNames":{},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium",":items":{},":itemsOrder":[],":type":"wcm/foundation/components/responsivegrid"},"container_author_chip":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"author_chip":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-56d5a15196",":type":"snowflake-site/components/container",":items":{"author_chip":{"id":"author-chip-f7f355d9c7","title":{"id":"title","type":"heading2","lines":["Learn more about the authors"],":type":"snowflake-site/components/title-v2"},"authors":[{"authorImage":{"id":"image-c919c16eb9","height":"1254","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--4ba49e84-b888-435d-873b-ee258a5e860e/likhita-thogersen.png?preferwebp=true&quality=85","alt":"Headshot-style photo of Likhita Thogersen of Snowflake","lazyEnabled":true,"width":"1254",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-14384587b8","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/likhita-thogersen/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Likhita Thogersen"},"authorTitle":"Staff Product Manager, Snowflake "},{"authorImage":{"id":"image-54b0f88e70","height":"400","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--8abfe0e1-f452-4f0c-85cb-2c21dbcc9bef/tehzeeb-versey-patel.png?preferwebp=true&quality=85","alt":"Avatar headshot of Tehzeeb Versey-Patel of Snowflake","lazyEnabled":true,"width":"400",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-51877c938b","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/tehzeeb-versey-patel/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Tehzeeb Versey-Patel"},"authorTitle":"Platform Product Marketing Lead, Snowflake"}],":type":"snowflake-site/components/blog/author-chip"}},":itemsOrder":["author_chip"],"appliedCssClassNames":"snowflake-responsive-component-top-padding-medium"}},":itemsOrder":["container_hero","responsivegrid_content","responsivegrid_premium_content_banner","container_author_chip"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-1109fe9624",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"blog_table_of_content":{"id":"blog-table-of-content-b72a240bb9",":type":"snowflake-site/components/blog/blog-table-of-content","tableOfContents":[]}},":itemsOrder":["blog_table_of_content"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":true,"isActiveTOC":false},"related_content":{"id":"related-content-894dd146f3","relatedContent":[{"configurationStatus":{"configured":true,"message":""},"tags":[],":type":"snowflake-site/components/blog/card","title":{"lines":["通信業界向けAIデータクラウドの基礎知識"],"type":"heading4",":type":"snowflake-site/components/title-v2"},"button":{"id":"button-b4882b427c","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/resources/ebook/the-basics-ai-data-cloud-for-telecom/thankyou/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"通信業界向けAIデータクラウドの基礎知識"},"image":{"id":"image-1444df053a","height":"1165","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--891865bb-61a7-41df-8c73-f48ebce5a501/%25E9%2580%259A%25E4%25BF%25A1%25E6%25A5%25AD%25E7%2595%258C%25E5%2590%2591%25E3%2581%2591ai%25E3%2583%2586%25E3%2582%2599%25E3%2583%25BC%25E3%2582%25BF%25E3%2582%25AF%25E3%2583%25A9%25E3%2582%25A6%25E3%2583%2588%25E3%2582%2599%25E3%2581%25AE%25E5%259F%25BA%25E7%25A4%258E%25E7%259F%25A5%25E8%25AD%2598.png?preferwebp=true&quality=85","lazyEnabled":true,"width":"2064",":type":"snowflake-site/components/image"}},{"configurationStatus":{"configured":true,"message":""},"tags":[],":type":"snowflake-site/components/blog/card","title":{"lines":["製造業界における生成AI活用：知っておくべき4つのこと"],"type":"heading4",":type":"snowflake-site/components/title-v2"},"button":{"id":"button-afd529b70e","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ja/resources/ebook/thankyou0/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"製造業界における生成AI活用：知っておくべき4つのこと"},"image":{"id":"image-8b826cffdb","height":"1165","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--900a1828-dda9-42c2-84dd-03d5b5cfcb17/%25E8%25A3%25BD%25E9%2580%25A0%25E6%25A5%25AD%25E7%2595%258C%25E3%2581%25AB%25E3%2581%258A%25E3%2581%2591%25E3%2582%258B%25E7%2594%259F%25E6%2588%2590ai%25E6%25B4%25BB%25E7%2594%25A8%25EF%25BC%259A%25E7%259F%25A5%25E3%2581%25A3%25E3%2581%25A6%25E3%2581%258A%25E3%2581%258F%25E3%2581%25B8%25E3%2582%2599%25E3%2581%258D4%25E3%2581%25A4%25E3%2581%25AE%25E3%2581%2593%25E3%2581%25A8.png?preferwebp=true&quality=85","lazyEnabled":true,"width":"2064",":type":"snowflake-site/components/image"}}],":type":"snowflake-site/components/blog/related-content","isBlogPage":true}},":itemsOrder":["flexible_column_container","related_content"],"appliedCssClassNames":"snowflake-container"}},":itemsOrder":["container_breadcrumb","container_main_content"],":type":"wcm/foundation/components/responsivegrid"},"container_47873732":{"additionalClasses":"section--blog-newsletter","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-26bb147e6b",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-c8643c1db2","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"small","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"section--blog-newsletter","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-f2fa3de166",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"marketo_v2":{"id":"marketo-v2-666f85aa49","marketoForm":{"hidden":null,"formId":"3320","edit":false,"successUrl":null,"script":null,"values":null},"title":{"id":"title","type":"heading3","lines":["Subscribe to our blog newsletter","Get the best, coolest and latest delivered to your inbox each week"],":type":"snowflake-site/components/title-v2"},"formConfigured":true,"marketoConfigured":true,"serverInstance":"252-RFO-227.mktoweb.com","munchkinId":"252-RFO-227",":type":"snowflake-site/components/form/marketo-v2"},"text":{"id":"text-7f4d6c26d2","additionalClasses":"newsletter-disclaimer","text":"\u003Cp\u003EBy submitting this form, I understand Snowflake will process my personal information in accordance with their Privacy Notice.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"}},":itemsOrder":["marketo_v2","text"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":true,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"],"appliedCssClassNames":"snowflake-container"},"experiencefragment-pre-footer":{"id":"experiencefragment-e3b3c91b2c","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/get-started-pre-footer/get-started-pre-footer/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/get-started-pre-footer/get-started-pre-footer.xfmodel.json"},"markup_editor":{"id":"markup-editor-c47f900d00","title":"Page CSS","cssContent":"@media screen and (min-width:768px){.snowflake-blog-author-chip-wrapper{justify-content:flex-start}.snowflake-blog-related-content-on-blog-page{max-width:1408px;margin-left:auto;margin-right:auto}.snowflake-text{font-family:Lato,sans-serif;font-weight:400;font-size:16px;line-height:24px}}.section--blog-newsletter{max-width:none;width:100%;padding-left:0;padding-right:0;margin-left:0;margin-right:0;margin-bottom:0}.section--blog-newsletter .mktoField{background-color:transparent !important}.section--blog-newsletter\u003E.container{padding-left:0;padding-right:0}@media screen and (min-width:768px){.section--blog-newsletter\u003E.container{padding-left:0;padding-right:0}}.newsletter-disclaimer p{font-size:14px !important}.section--blog-newsletter .snowflake-marketo-form-container{margin-bottom:24px;background-color:#f6f9fa;gap:48px;box-shadow:none}.section--blog-newsletter .snowflake-title p.snowflake-title-line:first-child{font-family:Texta;font-size:24px;line-height:26px;font-weight:700;margin-bottom:4px}.section--blog-newsletter .snowflake-title p.snowflake-title-line{text-transform:none;font-family:\"Lato\",sans-serif;font-size:16px;line-height:24px;font-weight:normal}@media screen and (min-width:1024px){.section--blog-newsletter .snowflake-marketo-form-container{display:flex;justify-content:center}.section--blog-newsletter .snowflake-title .snowflake-title-line{text-align:left}.section--blog-newsletter .snowflake-marketo-form .mktoFormRow:has(\u003E input[type=\"hidden\"]){flex-grow:0}.section--blog-newsletter .snowflake-marketo-form{display:flex;width:50% !important}.section--blog-newsletter .snowflake-marketo-form .mktoButtonRow{flex-grow:0;width:auto !important;margin-left:0;margin-right:0}.section--blog-newsletter .snowflake-marketo-form .mktoFormRow{flex-grow:1}.section--blog-newsletter\u003E.container{padding-left:0;padding-right:0}.section--blog-newsletter .snowflake-marketo-form-title{width:50%;margin-bottom:0 !important}.section--blog-newsletter .center .snowflake-title{align-items:flex-start}}.snowflake-sub-navigation a.snowflake-sub-navigation-primary-link{width:auto !important}.snowflake-blog-hero{align-items:stretch !important}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false},"markup_editor-table":{"id":"markup-editor-2a4487a479","title":"Table Styling CSS","cssContent":"#snowflake-blog-template-main-container table{width:100%;background-color:var(--ui-background-01);border-collapse:collapse;border:2px solid var(--ui-background-09);font-family:'Lato',sans-serif;color:var(--ui-background-09)}#snowflake-blog-template-main-container table thead{background-color:var(--ui-01)}#snowflake-blog-template-main-container table th,#snowflake-blog-template-main-container table td{border:2px solid var(--ui-background-09);padding:var(--spacing-01)}",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false},"experiencefragment-footer":{"id":"experiencefragment-75044fb61a","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/footer/master/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment","xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/footer/master.xfmodel.json"}},":itemsOrder":["experiencefragment-banner","experiencefragment-header","experiencefragment-sub-header","responsivegrid","container_47873732","experiencefragment-pre-footer","markup_editor","markup_editor-table","experiencefragment-footer"],":type":"wcm/foundation/components/responsivegrid"}},":itemsOrder":["root"],"analyticsContentTags":["snowflake-site:taxonomy/blog/product-and-technology/price-performance","snowflake-site:taxonomy/blog/product-and-technology/data-warehouse","snowflake-site:taxonomy/blog/product-and-technology"],"analyticsEnabled":true,":hierarchyType":"page",":path":"/content/snowflake-site/global/ja/blog/adaptive-compute-ga-azure-google-cloud","isPasswordProtected":false,"coveoConfig":{"pipeline":"snowflake.com","apiKey":"xx335921a6-2a0a-40f2-a167-e390b4766c3d","organizationId":"snowflakecomputingproduction8neljofn","searchHub":"snowflake.com"},"analyticsDebugMode":false,"analyticsData":{"excludeFromAnalytics":false,"subCategory":"","pageType":"homepage","templateName":"blog-page","siteName":"snowflake","pageUrl":"/content/snowflake-site/global/ja/blog/adaptive-compute-ga-azure-google-cloud","language":"ja","category":"general","pageName":"Snowflake アダプティブコンピュート：実環境での価格性能比が向上し、AWS、Azure、GCPで利用可能に","contentTags":["snowflake-site:taxonomy/blog/product-and-technology/price-performance","snowflake-site:taxonomy/blog/product-and-technology/data-warehouse","snowflake-site:taxonomy/blog/product-and-technology"]},"locale":"ja"}