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Databricks launches AI Runtime for training open models on NVIDIA GPUs
Databricks released AI Runtime to let teams train and fine-tune open models on serverless NVIDIA GPUs using enterprise data.
Summary
Databricks released AI Runtime, which is now generally available to help teams train and fine-tune models on serverless NVIDIA GPUs. The platform integrates with Unity Catalog, MLflow, and NVIDIA tools like NeMo to let developers customize open models using enterprise data without managing infrastructure.
What changed
- Databricks AI Runtime is now generally available for training and fine-tuning models on serverless NVIDIA GPUs.
- Developers can use NVIDIA NeMo, containers, and Nemotron cookbooks to train open models on serverless GPUs.
- The platform supports distributed training, Docker and private registries, and model deployment through Databricks Model Serving.
Availability
Available now“Databricks AI Runtime (AIR) is now Generally Available (GA), helping teams train and fine-tune models faster on serverless NVIDIA GPUs without the complexity of managing GPU infrastructure.”
Founder takeaway
Small teams can use the newly available Databricks AI Runtime to fine-tune open models like Nemotron on internal data using serverless GPUs without managing infrastructure.
Source
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