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

Amazon SageMaker AI supports serverless fine-tuning for the NVIDIA Nemotron 3 Nano model, allowing users to customize the model with their proprietary data without managing infrastructure.

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 30 billion total parameters. In addition to deploying this model on SageMaker AI, users can now adapt it to their specific domains and workflows. Model customization enables users to tailor foundation models with proprietary data, whether improving accuracy on domain-specific tasks, aligning outputs with organizational tone, or enhancing performance on new tasks using labeled data. With serverless customization, SageMaker AI handles all infrastructure provisioning and training orchestration, allowing users to focus on data and evaluation rather than cluster management, and only pay for what they 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).

Read the original AWS announcement

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