Model Releases
Launching UI for generative AI inference recommendations in Amazon SageMaker AI
In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives you programmatic acce
In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives you programmatic access to recommendations, but it assumes you know which parameters to set and how to interpret raw benchmark output. The UI removes that assumption. It guides you through preset use-case profiles, visual comparisons of results, and one-click deployment, so teams without deep infrastructure expertise can get a validated configuration on their own.
Related
- Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI
- Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances
- Amazon SageMaker AI now supports optimized generative AI inference recommendations
Source: AWS ML Blog | 2026-07-13