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On October 21, 2026, Databricks announced the general availability of Databricks AI Runtime (AIR). According to information published on the Databricks Blog the same day, developers can train and fine-tune open models on serverless NVIDIA GPUs without having to manage GPU infrastructure themselves. AIR supports NVIDIA NeMo, NGC containers, and Nemotron cookbooks, as well as multi-node distributed training, with the underlying clusters and networking managed by Databricks. Trained models can be deployed for real-time inference through Databricks Model Serving, and access to training data is governed by Unity Catalog. This news currently comes from a single source, the official Databricks blog, and there are no other independent reports or subsequent developments yet.
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Databricks AI Runtime is now GA: Fine-tune open models on serverless NVIDIA GPUsDevelopments
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- Source:Databricks Blog
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Oct 21
Databricks BlogFirst-party
Databricks AI Runtime is now GA: Fine-tune open models on serverless NVIDIA GPUs
Databricks AI Runtime (AIR) is now generally available. Developers can train and fine-tune open models on serverless NVIDIA GPUs without managing GPU infrastructure themselves. AIR supports NVIDIA NeMo, NGC containers, and Nemotron cookbooks, and supports multi-node distributed training, with clusters and networking managed by Databricks. Trained models can be deployed for real-time inference through Databricks Model Serving, and access to training data is governed by Unity Catalog.