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Dion3 optimizer slashes AI training time by up to 6x

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

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 …