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How to Train Really Large Models on Many GPUs?
更新于 2026/3/26
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How to Train Really Large Models on Many GPUs?
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<!-- How to train large and deep neural networks is challenging, as it demands a large amount of GPU memory and a long horizon of training time. This post reviews several popular training parallelism paradigms, as well as a variety of model architecture and memory saving designs to make it possible to train very large neural networks across a large number of GPUs. --> <p><span class="update
