By default, deep learning models only utilize a single GPU for training, even if multiple GPUs are available.

An ideal way to train models is to distribute the training workload across multiple GPUs.

The graphic depicts four strategies for multi-GPU training👇 pic.twitter.com/rEKkFw3pF3

— Akshay 🚀 (@akshay_pachaar) 17 août 2025

By default, deep learning models only utilize a single GPU for training, even if multiple GPUs are available. An ideal way to train models is to distribute the training workload across multiple GPUs. The graphic depicts four strategies for multi-GPU training

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