Train Your Large Model on Multiple GPUs with Pipeline Parallelism - MachineLearningMastery.com
Some language models are too large to train on a single GPU. When the model fits on a single GPU but cannot be trained with a large batch size, you can use data parallelism. However, when the model...
Source: MachineLearningMastery.com
Some language models are too large to train on a single GPU. When the model fits on a single GPU but cannot be trained with a large batch size, you can use data parallelism. However, when the model is too large to fit on a single GPU, you need to split it across multiple GPUs. […]