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Accelerating Large-Scale Mixture-of-Experts Training in PyTorch
Accelerating Large-Scale Mixture-of-Experts Training in PyTorch
<img alt="" class="webfeedsFeaturedVisual wp-post-image" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/image2-1-768x432-jpg.webp" style="display: block; margin-bottom...
Training massive mixture-of-experts (MoE) models has long been the domain of a few advanced users with deep infrastructure and distributed-systems expertise....Training massive mixture-of-experts (MoE) models has long been the domain of a few advanced users with deep infrastructure and distributed-systems expertise. For most developers, the challenge wasn’t building smarter models—it was scaling them efficiently across hundreds or even thousands of GPUs without breaking the bank. With NVIDIA NeMo Automodel, an open-source library within NVIDIA NeMo…
Source: NVIDIA Technical Blog
Word count: 1100 words
Published on 2025-11-07 01:00