Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes

AWS has announced the general availability of Amazon SageMaker HyperPod recipes, a tool designed to simplify and accelerate foundation model training and fine-tuning for data scientists and developers.

• Provides optimized recipes for training popular models like Llama 3.1 405B, Llama 3.2 90B, and Mixtral 8x22B
• Reduces training time by up to 40 percent
• Supports training on GPU and Trainium-based instances
• Automates critical training steps like dataset loading and distributed training
• Compatible with SageMaker HyperPod with Slurm, Amazon EKS, and SageMaker training jobs

The new recipes simplify model training by providing pre-configured, tested training stacks that eliminate complex configuration and testing processes.