LocateAnything-3B, Qwen-AgentWorld-35B-A3B, and Qwen3.5-122B-A10B models now available on Amazon SageMaker JumpStart
Amazon SageMaker JumpStart adds new models for visual grounding, agent environment simulation, and large-scale multimodal reasoning
NVIDIA's LocateAnything-3B, Qwen's Qwen-AgentWorld-35B-A3B, and Qwen's Qwen3.5-122B-A10B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models for AWS customers. These models provide specialized capabilities in visual grounding, object localization, agent environment simulation across seven interaction domains, and large-scale multimodal reasoning. LocateAnything-3B uses a Parallel Box Decoding framework for fast, high-quality visual grounding from natural language instructions. Qwen-AgentWorld-35B-A3B simulates agent environments across tool calling, search, terminal, software engineering, Android, web, and OS interaction domains, predicting next environment states through long chain-of-thought reasoning. Qwen3.5-122B-A10B delivers high-performance multimodal reasoning with a hybrid architecture integrating Gated Delta Networks and sparse Mixture-of-Experts, activating only 10B parameters per token. With SageMaker JumpStart, customers can deploy any of these models with just a few clicks.
Why it matters
Amazon SageMaker JumpStart is a platform that allows AWS customers to easily deploy and use AI foundation models, and the addition of these new models makes it easier to develop various AI applications such as visual grounding and agent simulation