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

Amazon SageMaker AI now supports serverless model customization for NVIDIA Nemotron 3 Nano model using supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT). This is a popular open-weight model from NVIDIA with 30B total parameters. In addition to deploying this model on SageMaker AI, you can now adapt it to your specific domains and workflows.

Model customization enables you to tailor foundation models with your proprietary data, whether that's improving accuracy on domain-specific tasks, aligning outputs with your organization's tone, or enhancing performance on new tasks using your labeled data. With serverless customization, SageMaker AI handles all infrastructure provisioning and training orchestration, so you can focus on your data and evaluation rather than cluster management, and only pay for what you use.

Serverless model customization for NVIDIA Nemotron 3 Nano on SageMaker AI is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland). To get started, navigate to the Models page in Amazon SageMaker Studio to launch a customization job, or use the SageMaker Python SDK for programmatic access. To learn more, see the Amazon SageMaker AI model customization documentation.