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Amazon SageMaker AI adds serverless customization for new AI models

Amazon SageMaker AI now supports serverless model customization for Muse Glimmer, Qwen, and Ministral AI models.

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Summary

Amazon SageMaker AI added support for serverless model customization for Muse Glimmer, Qwen3.8 27B, and Ministral 3 models. You can now adapt these AI models using supervised fine-tuning, direct preference optimization, and reinforcement fine-tuning without managing infrastructure.

What changed

  • Amazon SageMaker AI added serverless model customization for Muse Glimmer, Qwen3.8 27B, and Ministral 3 3B, 8B, and 14B models.
  • You can adapt models using supervised fine-tuning, direct preference optimization, and reinforcement fine-tuning techniques.
  • Model adaptation supports low-rank adaptation or full fine-tuning without managing training clusters.

Availability

Available now

“Serverless model customization on SageMaker AI is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland).”

Founder takeaway

Consider using SageMaker AI serverless customization if you want to adapt Muse, Qwen, or Ministral AI models with your own data without managing training clusters.

Source

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

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