4 Strategies for Multi-GPU Training

TLDRThis post discusses four strategies for multi-GPU training: model parallelism, tensor parallelism, data parallelism, and pipeline parallelism.

#deep-learning
•4m read time• From blog.dailydoseofds.com
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4 Strategies for Multi-GPU Training#1) Model parallelism#2) Tensor parallelism#3) Data parallelism#4) Pipeline parallelismAre you overwhelmed with the amount of information in ML/DS?