A guide to JIT checkpointing with Kubeflow Trainer on OpenShift AI

This guide details just-in-time (JIT) checkpointing techniques using the Kubeflow Training SDK on OpenShift AI to improve resilience in large language model training. It explains how to configure both Persistent Volume Claim (PVC) and S3 storage options to automate checkpoint handling during model training, thereby preventing data loss and reducing operational costs. The article includes a step-by-step tutorial with code examples and best practices for efficient training.