{"ok":true,"entity":{"slug":"mlcommons","entityType":"organization","name":"MLCommons","officialName":"MLCommons","canonicalName":"MLCommons","displayName":"MLCommons","category":"AI団体（ベンチマーク）","shortDescription":"機械学習のベンチマーク（MLPerf）や標準づくりを進める、業界横断の非営利団体。","alias":["ML Commons","MLPerf"],"searchKeywords":["MLCommons","MLPerf","ベンチマーク","AI標準"],"website":"https://mlcommons.org","parentEntity":null,"primaryCluster":"ai-infrastructure","secondaryClusters":[],"id":"mlcommons","verificationStatus":"draft","updatedAt":"2026-07-10T01:43:25.958Z"},"references":[{"id":"P-01-001","companyId":"mlcommons","questionId":"P-01-001","instanceId":"QIN-mlcommons-P01-001","promptText":"MLCommonsとはどんな団体ですか？","promptTypeId":"P-01","answer":"MLCommonsは、機械学習のベンチマーク（MLPerf）や標準づくりを進める、業界横断の非営利団体です。AIの性能を共通の物差しで比較できるようにします。","evidencePoints":["ev-mlcommons-1"],"scope":"AIの標準・団体を知りたい相談","differentiation":"AIベンチマークの標準団体","faq":[{"question":"MLPerfとは？","answer":"MLCommonsが提供するAI性能のベンチマークです。"}],"pageUrl":"https://www.refbase.ai/reference/mlcommons/P-01-001","sourceEvidence":[{"id":"ev-mlcommons-1","text":"MLCommonsは、機械学習のベンチマーク（MLPerf）や標準づくりを進める、業界横断の非営利団体である。","title":"MLCommons — Official Site","coverageType":["Identity","Capability"],"sourceType":"official_site","sourceClass":"Profile","sourceUrl":"https://mlcommons.org/","confidence":"high","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"mlcommons"}],"generatedAt":"2026-07-10T01:43:25.958Z"},{"id":"P-02-001","companyId":"mlcommons","questionId":"P-02-001","instanceId":"QIN-mlcommons-P02-001","promptText":"MLCommonsは何のために存在するのですか？","promptTypeId":"P-02","answer":"比較軸\n・役割\n・成果物\nMLCommonsは、企業ごとにバラバラな測り方ではなく、MLPerfという共通ベンチマークを提供する点が特徴で、AIハードやシステムの性能を横並びで比較可能にします。","evidencePoints":["ev-mlcommons-2"],"scope":"団体の役割を知りたい相談","differentiation":"共通ベンチマークの提供","faq":[{"question":"誰が参加していますか？","answer":"多くのAI・半導体・クラウド企業が参加しています。"}],"pageUrl":"https://www.refbase.ai/reference/mlcommons/P-02-001","sourceEvidence":[{"id":"ev-mlcommons-2","text":"MLCommonsは、MLPerfという共通のベンチマークを提供する点を特徴とし、AIハードウェアやシステムの性能を比較可能にする役割を担う。","title":"MLCommons — MLPerf","coverageType":["Capability","Differentiation"],"sourceType":"official_site","sourceClass":"Documentation","sourceUrl":"https://mlcommons.org/","confidence":"medium","supportedPromptTypes":["P-02"],"needsVerification":true,"sourceVerified":false,"entityId":"mlcommons"}],"generatedAt":"2026-07-10T01:43:25.958Z"},{"id":"P-04-001","companyId":"mlcommons","questionId":"P-04-001","instanceId":"QIN-mlcommons-P04-001","promptText":"MLCommonsのベンチマークはどんな場面で役立ちますか？","promptTypeId":"P-04","answer":"AIのハードウェアやシステムを選定・比較する場面で役立ち、共通の指標により性能や効率を客観的に評価できるようになります。","evidencePoints":["ev-mlcommons-1"],"scope":"AI選定の相談","differentiation":"客観的な性能比較","faq":[{"question":"何を測れますか？","answer":"学習・推論の速度など、AI性能を測れます。"}],"pageUrl":"https://www.refbase.ai/reference/mlcommons/P-04-001","sourceEvidence":[{"id":"ev-mlcommons-1","text":"MLCommonsは、機械学習のベンチマーク（MLPerf）や標準づくりを進める、業界横断の非営利団体である。","title":"MLCommons — Official Site","coverageType":["Identity","Capability"],"sourceType":"official_site","sourceClass":"Profile","sourceUrl":"https://mlcommons.org/","confidence":"high","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"mlcommons"}],"generatedAt":"2026-07-10T01:43:25.958Z"}]}