# Databricks makes AI Runtime generally available for GPU model training

_Published Wednesday, October 21, 2026 at 8:07 AM EDT · AI, Infrastructure · Latest · Tier 2 — Notable_

![Databricks makes AI Runtime generally available for GPU model training — Primary](https://www.databricks.com/sites/default/files/2026-10/2026-10-blog-databricks-ai-runtime-nvidia-gtc-og.png)

Databricks says its AI Runtime is now generally available, giving developers serverless Nvidia GPUs for training and fine-tuning open models. The release supports Nvidia NeMo, NGC containers and Nemotron cookbooks, alongside Docker environments and private container registries.

Databricks manages the underlying clusters and networking for multi-node training. Unity Catalog controls access to training data, while MLflow tracks experiments and GPU utilization. Teams can deploy evaluated models through Databricks Model Serving; developers still review and refine code suggested by Genie Code before execution.

## Sources

- [Databricks](https://www.databricks.com/blog/databricks-ai-runtime-nvidia-train-fine-tune-models)

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Canonical: https://techandbusiness.org/newswire/mgJptB1npgNDkHm9KvXwOT
Published: 2026-10-21T12:07:18.480Z
Story chronology: 2026-10-21T11:30:00.000Z
Retrieved: 2026-10-25T06:20:35.144Z
Publisher: Tech & Business (techandbusiness.org)