SageMaker AI now supports serverless fine-tuning for NVIDIA Nemotron models

Amazon SageMaker AI Updates

Amazon SageMaker AI now supports serverless model customization for the NVIDIA Nemotron 3 Nano model using supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT). This popular open-weight model from NVIDIA has 30B total parameters and can be adapted to specific domains and workflows.

Model customization allows you to tailor foundation models with your proprietary data, improving accuracy on domain-specific tasks, aligning outputs with your organization's tone, or enhancing performance on new tasks using your labeled data. SageMaker AI handles all infrastructure provisioning and training orchestration, so you can focus on your data and evaluation.

Regions Available

• US East (N. Virginia)
• US West (Oregon)
• Asia Pacific (Tokyo)
• Europe (Ireland)

What to do

• Navigate to the Models page in Amazon SageMaker Studio to launch a customization job.
• Use the SageMaker Python SDK for programmatic access.
• Refer to the Amazon SageMaker AI model customization documentation for more information.

Source: AWS release notes

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