English(EN) An AI agent just beat NVIDIA's FlashMLA baseline by 9.8% on B200, without seeing its source code

AI代理自主优化NVIDIA GPU内核，以9.8%的优势击败基线

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-02 14:53

一个名为ForgeKernel的AI代理已自主优化了NVIDIA B200 GPU的FlashMLA基线，在不到22小时内实现了9.8%的性能提升。该代理在未访问原始源代码的情况下，将内核速度从518 µs提高到472 µs，展示了一种新颖的低级GPU代码优化方法。OpenBMB已开源了优化后的内核和ForgeKernel工具，为AI驱动的性能调优提供了进一步实验的可能性。 AI

影响展示了AI代理优化低级硬件代码的新范例，可能加速硬件性能调优。

排序理由 AI研究，展示了针对专有基线的GPU内核的自主优化。 [lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; AI研究，展示了针对专有基线的GPU内核的自主优化。 [lever_c_demoted from research: 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: infra, product; 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: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

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r/LocalLLaMA TIER_1 English(EN) · /u/Equivalent-Grass-527 · 2026-11-02 14:53

An AI agent just beat NVIDIA's FlashMLA baseline by 9.8% on B200, without seeing its source code

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xlzaq0/an_ai_agent_just_beat_nvidias_flashmla_baseline/"> <img alt="An AI agent just beat NVIDIA's FlashMLA baseline by 9.8% on B200, without seeing its source code" src="https://preview.redd.it/jr6yx14eq7zh1…

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An AI agent just beat NVIDIA's FlashMLA baseline by 9.8% on B200, without seeing its source code

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