> See the full index of documentation pages at https://docs.zettabyte.com/llms.txt.

# Tutorials

> End-to-end recipes that tie the core zCLOUD workflows together.

Source: https://docs.zettabyte.com/docs/tutorials

Last updated: 2026-07-21

## Pages

- [Train a small model and save weights to a PVC](https://docs.zettabyte.com/docs/tutorials/train-and-save-to-pvc.md): Train a small model on GPU capacity and save the resulting weights to a persistent volume (`PVC`) so they survive after the job ends.
- [Fine-tune and deploy](https://docs.zettabyte.com/docs/tutorials/fine-tune-and-deploy.md): Adapt an existing model to your data, then deploy the result as an inference endpoint.
- [Deploy an open model and call it from Python](https://docs.zettabyte.com/docs/tutorials/deploy-and-call-from-python.md): Deploy an open model as an inference endpoint and call it from a `Python` client.

## Optional

- [Full Tutorials documentation](https://docs.zettabyte.com/docs/tutorials/llms-full.txt): every Tutorials page as one markdown file