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SageMaker Serverless Fine-Tuning for Nvidia Nemotron Models

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Amazon SageMaker now offers serverless fine-tuning for Nvidia's Nemotron 3 Nano model, allowing users to adapt foundation models with proprietary data. This feature enables tailoring models for domain-specific tasks or tone alignment, abstracting infrastructure management and adopting a pay-for-use model. It's available in specific AWS regions and can be accessed via SageMaker Studio or the Python SDK.

  • →Serverless fine-tuning for Nvidia Nemotron models
  • →Simplified infrastructure management and cost optimization
  • →Availability and access
Features (1) ›
  • Serverless fine-tuning for Nvidia Nemotron models

    SageMaker now supports serverless supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT) for the Nvidia Nemotron 3 Nano model, a 30B parameter open-weight model. This allows users to customize foundation models with their proprietary data for domain-specific tasks or tone alignment.

Enhancements (1) ›
  • Simplified infrastructure management and cost optimization

    Serverless customization handles infrastructure provisioning and training orchestration, freeing users from cluster management. This model utilizes a pay-for-what-you-use pricing structure.

Notes (1) ›
  • Availability and access

    This capability is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland). Users can initiate customization jobs through Amazon SageMaker Studio or programmatically using 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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