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English(EN) Moore Threads Open-Sources Megatron-MUSA-Titan for Trillion-Parameter MoE Training on Its GPUs

Moore Threads 开源万亿参数 MoE 训练栈

作者 PulseAugur 编辑部 · [1 个来源] ·

Moore Threads 已将其 Megatron-MUSA-Titan 训练栈开源。该训练栈专为训练万亿参数的专家混合（MoE）模型而设计，并已用于多达 10,000 个 GPU 的集群上。该系统支持块状 FP8 精度等高级功能，并融入了 slime 和 miles RL 等强化学习技术。 AI

影响 使研究人员和开发人员能够更有效地训练超大规模 MoE 模型。

排序理由 用于大规模模型训练的训练栈的开源发布。[lever_c_demoted from research: ic=1 ai=1.0]

在 Pandaily 阅读 →

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

Moore Threads 开源万亿参数 MoE 训练栈

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用于大规模模型训练的训练栈的开源发布。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    摩尔线程开源Megatron-MUSA-Titan，用于在其GPU上进行万亿参数MoE训练

    Moore Threads has open-sourced Megatron-MUSA-Titan, the training stack it uses for trillion-parameter MoE pretraining on 10,000-GPU clusters, with blockwise FP8 and support for slime and miles RL.

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