Description
本期播客深入探讨FastMoE，一个基于PyTorch的分布式混合专家（MoE）训练系统。FastMoE旨在通过算法和系统协同设计，实现高效的万亿级参数语言模型训练。它提供了一个分层接口，既能灵活设计模型，又能轻松适应Transformer-XL和Megatron-LM等不同应用。FastMoE通过高性能加速技术优化训练速度，并支持跨多个节点和GPU放置专家，从而实现专家数量随GPU数量线性扩展。
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