#Train

This chapter covers fine-tuning and pretraining, training runtime images, checkpointing and resuming, GPU slicing, and quota and scheduling governance for training jobs.

The components this chapter relies on are listed under Components below: Kueue handles queueing, quotas, and preemption, while Volcano and JobSet handle batch orchestration. Experiment tracking and model registration during training use MLflow from the Develop chapter.