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SageMaker now offers serverless fine-tuning for NVIDIA Nemotron models

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Amazon SageMaker now supports serverless fine-tuning for NVIDIA's Nemotron 3 Nano model, allowing users to adapt foundation models with proprietary data. This feature simplifies the process by managing infrastructure and orchestration, enabling users to focus on data and evaluation. Serverless customization is now available in specific AWS regions and can be accessed via SageMaker Studio or the Python SDK.

  • →Serverless fine-tuning for NVIDIA Nemotron 3 Nano
  • →Simplified infrastructure management for model customization
  • →Regional availability and access methods
Features (1) ›
  • Serverless fine-tuning for NVIDIA Nemotron 3 Nano

    SageMaker AI now supports serverless supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT) for the NVIDIA Nemotron 3 Nano model. This enables users to customize foundation models with their own data for specific domains and workflows.

Enhancements (1) ›
  • Simplified infrastructure management for model customization

    Serverless customization handles all infrastructure provisioning and training orchestration, allowing users to focus on data and evaluation instead of cluster management. Users only pay for the resources they consume.

Notes (1) ›
  • Regional availability and access methods

    Serverless model customization for NVIDIA Nemotron 3 Nano is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland). Users can initiate jobs through SageMaker Studio or the SageMaker Python SDK.

Read the original announcement →

https://aws.amazon.com/about-aws/whats-new/2026/05/amazon-sagemaker-ft-nemotron-3/

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