Training a Model on Multiple GPUs with Data Parallelism - MachineLearningMastery.com
Training a large language model is slow. If you have multiple GPUs, you can accelerate training by distributing the workload across them to run in parallel. In this article, you will learn about da...

Source: MachineLearningMastery.com
Training a large language model is slow. If you have multiple GPUs, you can accelerate training by distributing the workload across them to run in parallel. In this article, you will learn about data parallelism techniques. In particular, you will learn about: What is data parallelism The difference between Data Parallel and Distributed Data Parallel […]