SageMaker HyperPod recipes

Use Amazon SageMaker HyperPod recipes to get started with training and fine-tuning publicly available foundation models. To view the available recipes, see SageMaker HyperPod recipes.

The recipes are pre-configured training configurations for the following model families:

You can run recipes within SageMaker HyperPod or as SageMaker training jobs. You use the Amazon SageMaker HyperPod training adapter as the framework to help you run end-to-end training workflows. The training adapter is built on the NVIDIA NeMo framework and Neuronx Distributed Training package. If you're familiar with using NeMo, the process of using the training adapter is the same. The training adapter runs the recipe on your cluster.

You can also train your own model by defining your own custom recipe.

The following tables outline the predefined recipes and launch scripts that SageMaker HyperPod currently supports.

To get started with a tutorial, see Tutorials.