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Near-linear scaling of gigantic-model training on AWS

Posted in computing, food

Linear scaling is often difficult to achieve because the communication required to coordinate the work of the cluster nodes eats into the gains from paralleliza… See more.


A new distributed-training library achieves near-linear efficiency in scaling from tens to hundreds of GPUs.