{"article":{"annotation":{"article_id":"microsoft-mai-base-two-pretraining-report-october-2026","available_at":"2026-10-15T20:20:13.124136Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"8c1fc4902aed116213bfd57557917a168b69bf520dc24ee2e2a478eb61b24700","input_sha256":"44233cde50dfa6130d154b8212fb90f30de984c317c4d935ef776f025bb95cb2","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. 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Oktober den Abschluss des Vortrainings von MAI-Base-2 mit, einem Expertenmischmodell mit 2,8 Billionen Parametern, davon 80 Milliarden aktiv. Laut Unternehmen lief das Training im August und September 38 Tage auf 16.000 GB200-GPUs; das Nachtraining dauert an.","en":"Microsoft AI said on October 15 that it completed pre-training MAI-Base-2, a mixture-of-experts model with 2.8 trillion total and 80 billion active parameters. The company says training used 16,000 GB200 GPUs over 38 days in August and September; the model is still undergoing post-training.","es":"Microsoft AI anunció el 15 de octubre que completó el preentrenamiento de MAI-Base-2, un modelo de mezcla de expertos con 2,8 billones de parámetros totales y 80.000 millones activos. Según la empresa, usó 16.000 GPU GB200 durante 38 días en agosto y septiembre; el entrenamiento posterior sigue en curso.","fr":"Microsoft AI a annoncé le 15 octobre avoir achevé le préentraînement de MAI-Base-2, un modèle à mélange d’experts de 2 800 milliards de paramètres, dont 80 milliards actifs. Selon l’entreprise, 16 000 GPU GB200 ont été utilisés pendant 38 jours en août et septembre ; le post-entraînement se poursuit.","pt":"A Microsoft AI anunciou em 15 de outubro a conclusão do pré-treinamento do MAI-Base-2, modelo de mistura de especialistas com 2,8 trilhões de parâmetros totais e 80 bilhões ativos. Segundo a empresa, foram usados 16.000 GPUs GB200 durante 38 dias em agosto e setembro; o pós-treinamento continua.","tr":"Microsoft AI, 15 Ekim’de toplam 2,8 trilyon ve etkin 80 milyar parametreli MAI-Base-2 uzmanlar karışımı modelinin ön eğitimini tamamladığını açıkladı. Şirkete göre eğitim, ağustos ve eylülde 16.000 GB200 GPU ile 38 gün sürdü; model hâlen son eğitim aşamasında."},"label":{"ar":"نشر تقرير البحث","de":"Veröffentlichung des Forschungsberichts","en":"Publication of the research report","es":"Publicación del informe de investigación","fr":"Publication du rapport de recherche","pt":"Publicação do relatório de pesquisa","tr":"Araştırma yazısının yayımlanması"},"status":"occurred"}],"methodology":{"ar":"تُنسب نتائج البحث إلى المصدر؛ ولم يُجرَ قياس مستقل للأداء.","de":"Die Ergebnisse werden der Quelle zugeschrieben; keine unabhängige Leistungsmessung.","en":"Reported research results are attributed to the source; no independent performance measurement was made.","es":"Los resultados se atribuyen a la fuente; no se midió el rendimiento de forma independiente.","fr":"Les résultats sont attribués à la source, sans mesure indépendante des performances.","pt":"Os resultados são atribuídos à fonte; não houve medição independente de desempenho.","tr":"Bildirilen araştırma sonuçları kaynağa atfedilmiştir; bağımsız performans ölçümü yapılmamıştır."},"sourceUrls":["https://microsoft.ai/news/frontier-pre-training-at-microsoft-ai/"],"title":{"ar":"مايكروسوفت تعلن إكمال التدريب المسبق لنموذج MAI-Base-2","de":"Microsoft meldet Abschluss des Vortrainings von MAI-Base-2","en":"Microsoft reports completion of MAI-Base-2 pre-training","es":"Microsoft comunica que completó el preentrenamiento de MAI-Base-2","fr":"Microsoft annonce avoir achevé le préentraînement de MAI-Base-2","pt":"Microsoft informa conclusão do pré-treinamento do MAI-Base-2","tr":"Microsoft MAI-Base-2 modelinin ön eğitimini tamamladığını 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للأداء.","de":"Die Ergebnisse werden der Quelle zugeschrieben; keine unabhängige Leistungsmessung.","en":"Reported research results are attributed to the source; no independent performance measurement was made.","es":"Los resultados se atribuyen a la fuente; no se midió el rendimiento de forma independiente.","fr":"Les résultats sont attribués à la source, sans mesure indépendante des performances.","pt":"Os resultados são atribuídos à fonte; não houve medição independente de desempenho.","tr":"Bildirilen araştırma sonuçları kaynağa atfedilmiştir; bağımsız performans ölçümü yapılmamıştır."},"rowTranslations":[{"measure":{"ar":"إجمالي المعلمات","de":"Gesamtparameter","en":"Total parameters","es":"Parámetros totales","fr":"Paramètres totaux","pt":"Parâmetros totais","tr":"Toplam parametre"}},{"measure":{"ar":"المعلمات النشطة","de":"Aktive Parameter","en":"Active parameters","es":"Parámetros activos","fr":"Paramètres actifs","pt":"Parâmetros ativos","tr":"Etkin 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AI","publishedAt":"2026-10-15","url":"https://microsoft.ai/news/frontier-pre-training-at-microsoft-ai/"}],"summary":"أعلنت Microsoft AI في 15 أكتوبر إكمال التدريب المسبق لنموذج مزيج الخبراء MAI-Base-2، بإجمالي 2.8 تريليون معلمة و80 مليار معلمة نشطة. وتقول الشركة إن التدريب استخدم 16,000 وحدة GB200 خلال 38 يوماً في أغسطس وسبتمبر؛ وما زال النموذج يخضع للتدريب اللاحق.","text":"أعلنت Microsoft AI في 15 أكتوبر إكمال التدريب المسبق لنموذج مزيج الخبراء MAI-Base-2، بإجمالي 2.8 تريليون معلمة و80 مليار معلمة نشطة. وتقول الشركة إن التدريب استخدم 16,000 وحدة GB200 خلال 38 يوماً في أغسطس وسبتمبر؛ وما زال النموذج يخضع للتدريب اللاحق.\n\nأعلنت Microsoft AI في 15 أكتوبر إكمال التدريب المسبق لنموذج مزيج الخبراء MAI-Base-2، بإجمالي 2.8 تريليون معلمة و80 مليار معلمة نشطة. وتقول الشركة إن التدريب استخدم 16,000 وحدة GB200 خلال 38 يوماً في أغسطس وسبتمبر؛ وما زال النموذج يخضع للتدريب اللاحق.\n\nتقدّر مايكروسوفت، باستخدام تقييماتها المحجوزة ومنحنيات القياس، كفاءة حسابية أعلى من 4.2 إلى 12.3 مرة للوصول إلى 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