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New Foundation Models Added to Amazon SageMaker JumpStart for Multimodal AI

Amazon SageMaker JumpStart incorporated NVIDIA’s LocateAnything-3B and Qwen’s large-scale AI models to expand enterprise AI capabilities in visual grounding and agent simulation.

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-08-11. Source published: 2026-08-11. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

Amazon SageMaker JumpStart broadened its foundation model catalog with LocateAnything-3B focused on precise object localization from language instructions using a parallel box decoding method, and two Qwen models addressing agent environment simulation and large-scale multimodal reasoning. LocateAnything supports diverse applications in enterprise intelligence and physical AI by enhancing rapid, accurate visual grounding.

Qwen-AgentWorld-35B-A3B simulates agent interactions across multiple domains including software and OS tasks, enabling predictive environment state modeling. Qwen3.5-122B-A10B combines Gated Delta Networks and sparse Mixture-of-Experts architecture to deliver efficient large-scale multimodal reasoning with a 262K token context window, suitable for demanding AI use cases including coding and visual understanding.

Source & further reading

LocateAnything-3B, Qwen-AgentWorld-35B-A3B, and Qwen3.5-122B-A10B models now available on Amazon SageMaker JumpStart ↗

Source published 2026-08-11. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.