AWS First Steps
New feature

Muse-Glimmer-30B and Qwen 3.8-27B models now available on Amazon SageMaker JumpStart

Amazon SageMaker JumpStart adds Meta's Muse-Glimmer-30B and Alibaba's Qwen 3.8-27B foundation models, enhancing autonomous agent workflows and multimodal reasoning capabilities

The Muse-Glimmer-30B model from Meta is designed for autonomous agentic tasks with multi-step reasoning, tool use, and failure recovery, featuring a 131K+ context window and selectable reasoning strength. Qwen 3.8-27B from Alibaba excels in coding, multi-step agentic tasks, and multimodal understanding across text, images, and video, with a 262K context window (extendable to ~1M via YaRN scaling) and a score of 61.7 on SWE-bench Pro. Both models can be deployed on SageMaker JumpStart with just a few clicks.

Why it matters

AI developers can leverage these new foundation models available on SageMaker JumpStart to deploy high-performance AI solutions on AWS infrastructure

Read the original AWS announcement

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