English(EN) Microsoft has trained its own 2.8 trillion parameter AI model, and says it beats every open rival it tested Microsoft AI has pre-trained MAI-Base-2, a 2.8 trill

微软发布拥有2.8万亿参数的AI模型MAI-Base-2

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-16 02:35

微软已开发出一款名为MAI-Base-2的、拥有2.8万亿参数的新型AI模型。该公司声称，该模型在性能上超越了所有经过测试的开源竞争对手。MAI-Base-2使用了16,000个Nvidia GPU进行训练，据报道其训练效率比DeepSeek高出四到十二倍。 AI

影响为大规模模型训练效率和相对于开源替代品的性能树立了新标杆。

排序理由前沿实验室模型发布，附带系统卡。[lever_c_从frontier_release降级：ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

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AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Signal score: 12 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 前沿实验室模型发布，附带系统卡。[lever_c_从frontier_release降级：ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — mastodon.social TIER_1 English(EN) · madrobotblog · 2026-10-16 02:35

微软已训练出自己的2.8万亿参数AI模型，并称其在所有测试过的开源竞争对手中表现最佳微软AI已预训练MAI-Base-2，一个2.8万亿

Microsoft has trained its own 2.8 trillion parameter AI model, and says it beats every open rival it tested Microsoft AI has pre-trained MAI-Base-2, a 2.8 trillion parameter model on 16,000 Nvidia GPUs. It claims 4x to 12x DeepSeek’s training efficiency. # Microsoft # DeepSeek # …

链接 madrobot.blog/…/microsoft-mai-base-2-2-8-…

本文如何被排名

报道来源 [1]

微软已训练出自己的2.8万亿参数AI模型，并称其在所有测试过的开源竞争对手中表现最佳微软AI已预训练MAI-Base-2，一个2.8万亿

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