Amazon SageMaker AI now supports serverless model customization for Qwen3.5 models

This article announces that Amazon SageMaker AI now supports serverless model customization for Qwen3.5 models, enabling fine-tuning without infrastructure management.

• Fine-tune Qwen3.5 4B, 9B, and 27B parameter models using SFT and RFT
• Tailor foundation models with proprietary data for domain-specific tasks
• Serverless infrastructure handles provisioning and training orchestration
• Pay only for what you use without cluster management overhead
• Available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), EU (Ireland)
• Access via SageMaker Studio or Python SDK

SageMaker AI's serverless customization simplifies fine-tuning Qwen3.5 models, allowing users to specialize foundation models for their specific domains and workflows without managing infrastructure.