Amazon SageMaker HyperPod launches model deployments to accelerate the generative AI model development lifecycle

Today, we’re excited to announce that Amazon SageMaker HyperPod now supports deploying foundation models (FMs) from Amazon SageMaker JumpStart, as well as custom or fine-tuned models from Amazon S3 or Amazon FSx. With this launch, you can train, fine-tune, and deploy models on the same HyperPod compute resources, maximizing resource utilization across the entire model lifecycle.

SageMaker HyperPod offers resilient, high-performance infrastructure optimized for large-scale model training and tuning. Since its launch in 2023, SageMaker HyperPod has been adopted by foundation model builders who are looking to lower costs, minimize downtime, and accelerate time to market. With Amazon EKS support in SageMaker HyperPod you can orchestrate your HyperPod Clusters with EKS. Customers like Perplexity, Hippocratic, Salesforce, and Articul8 use HyperPod to train their foundation models at scale. With the new deployment capabilities, customers can now leverage HyperPod clusters across the full generative AI development lifecycle from model training and ...