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AI at Meta· @AIatMeta · X·· 11 小时前AI 评分58
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Meta 在俄亥俄州 New Albany 的千兆瓦级超算集群 Prometheus 上训练了 Muse 系列基础模型,包括 Muse Wonder。该集群拥有数十万块 GPU,预训练 goodput 达 85%+,强化学习 goodput 达 90%+,Muse Wonder 训练期间平均每约 47K GPU 小时出现一次中断。

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We trained our Muse foundational models, including Muse Wonder, at Prometheus, our gigawatt-scale supercluster in New Albany, Ohio.

Across a supercluster with hundreds of thousands of GPUs, even one underperforming host can slow an entire training run. We engineered Prometheus for resilience at scale, achieving 85%+ goodput on pretraining, 90%+ on reinforcement learning and ~47K GPU hours mean time between interruptions during Muse Wonder training.

Take a look at the tech powering Prometheus: https://go.meta.me/4yXXApZ

来源:AI at Meta · x.com