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Dion3 optimizer slashes AI training time by up to 6x

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Dion3, an optimized version of the Muon optimizer designed to reduce computational and communication overhead. The new algorithm, Gram Newton-Schulz, along with CuTeDSL kernels and a megabatching strategy, significantly speeds up the orthogonalization process. Dion3 achieves comparable or better performance than Muon while reducing optimizer step time by up to six times, and is available as a drop-in replacement. AI

IMPACT Dion3's optimization could lead to faster and more efficient training of large AI models.

RANK_REASON The cluster contains a research paper detailing a new algorithm and its performance improvements. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Dion3 optimizer slashes AI training time by up to 6x

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The cluster contains a research paper detailing a new algorithm and its performance improvements. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Noah Amsel, Jack Zhang, Kwangjun Ahn, Ali Naeimi, Austin Feng, Berlin Chen, Tri Dao, John Langford ·

    Dion3: Full-Stack Orthogonal Updates

    arXiv:2608.11612v1 Announce Type: cross Abstract: The Muon optimizer incurs a significant overhead cost due to its cubic-time Newton-Schulz orthogonalization step. When weights are sharded, communication overhead compounds this computational cost, eroding the benefits of Muon in …

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