SageMaker for Efficient ML Infrastructure

SageMaker Hyperpod simplifies distributed training by distributing models across nodes, ensuring node failure recovery, checkpointing, and seamless integration with frameworks like PyTorch and TensorFlow. EKS orchestrates training and inference workloads efficiently, integrating with popular frameworks and repositories like HuggingFace. While SageMaker and related services offer a great start for building and deploying ML pipelines, some users may find a single API sufficient for their needs due to its simplicity and effectiveness.