Deep Learning At Scale: Parallel Model Training | by Caroline Arnold …

Concept and a Pytorch Lightning example

Parallel training on a large number of GPUs is state of the art in deep learning. The open source image generation algorithm Stable Diffusion was trained on a cluster of 256 GPUs. Meta’s AI Research SuperCluster contains more than 24,000 NVIDIA H100 GPUs that are used to train models such as Llama 3.

By using multiple GPUs, machine learning experts reduce the wall time of their training runs. Training Stable…