AI Runtime
Serverless GPU compute with a distributed decorator for PyTorch, DeepSpeed and Ray workloads.
Why it is worth watching
The replacement for Foundation Model Fine-tuning, which has reached end of life.
What Public Preview promises
Open to everyone and supported for production use, though it can still change. On by default, and an admin can turn it off.
| Who can use it | Everyone |
|---|---|
| Production use | Yes |
| Support | The support team |
| On by default | Yes, with an opt-out |
The definitions are Databricks' own, on its release types page. The label on this page is the one the feature's documentation states, last checked on 14 Sept 2026.
Where to read more
We wrote it up: AI Runtime and serverless GPU compute — Serverless GPU compute for training and fine-tuning: a @distributed decorator in notebooks, the air CLI with a workload YAML, and the successor to Foundation Model Fine-tuning. That page carries the Public Preview label while this entry does.