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摩尔线程开源 Megatron-MUSA-Titan,支持万亿参数 MoE 训练
摩尔线程开源了 Megatron-MUSA-Titan 训练框架,这是其用于在 10000 卡 GPU 集群上进行万亿参数 MoE 预训练的内部训练栈。该框架采用块级 FP8(blockwise FP8)技术,并支持 slime 和 miles 两个 RL 训练工具。这意味着开发者可以在摩尔线程国产 GPU 上复用 NVIDIA Megatron 生态的大规模训练方案。
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摩尔线程把自家万卡集群训万亿参数 MoE 的训练栈开源了,带块级 FP8,国产 GPU 上也能跑 Megatron 式大规模训练。
11 sources57° AI heatLast updated 2026/10/29 02:00:28
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