Microsoft reports completion of MAI-Base-2 pre-training
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.
Source review period: 2026-10-15
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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.
Using its own held-out evaluations and scaling fits, Microsoft estimates 4.2–12.3 times greater compute efficiency to match DeepSeek-V4-Pro-Base. This is not an independent product-speed test; licensing weights to trusted partners through Foundry was described as a future plan.
Data
Microsoft reports completion of MAI-Base-2 pre-training
Microsoft reports completion of MAI-Base-2 pre-training
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Publication of the research report
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.
Methodology
Reported research results are attributed to the source; no independent performance measurement was made.
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Reported training configuration
Microsoft reports completion of MAI-Base-2 pre-training
| Total parameters | 2800000000000 |
| Active parameters | 80000000000 |
| GB200 GPUs used | 16000 |
Methodology
Reported research results are attributed to the source; no independent performance measurement was made.
Updated:
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