#Training Guides
End-to-end recipes for fine-tuning and pretraining LLMs on Alauda AI.
#TOC
Pick a path#Pick a path
| When you want… | Use | Guide |
|---|---|---|
| Reusable templates, repeatable runs, optional Kueue quotas | Kubeflow Trainer v2 + LlamaFactory | Fine-Tuning with Kubeflow Trainer v2 |
| Mix training with online inference, yield GPU back on demand | Kueue cohort + preemption + checkpoint resume | Preemptible TrainJobs with Kueue |
A curated set of TrainingRuntime images (CUDA / CANN) | Trainer v2 runtime catalog | Training Runtime Images |
| One-shot quick start of distributed PyTorch on Trainer v2 | ClusterTrainingRuntime + MNIST | Kubeflow Trainer Quick Start |
| Production SFT / OSFT with automatic memory management | training_hub | Fine-tuning LLMs with Training Hub |
| Interactive exploration, custom scripts, VolcanoJob submission | Workbench Notebook | Fine-tuning LLMs using Workbench |
| Full-parameter SFT / pretraining on Ascend NPU | Workbench PyTorch CANN / MindSpore CANN | Fine-tune and Pretrain on Ascend NPU |