NVIDIA’s Nemotron-3-Super-120B, Qwen3.5-9B, and Qwen3.5-27B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three models bring specialized capabilities spanning agentic reasoning, multilingual coding, and advanced instruction following, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure.
These models address different enterprise AI challenges with specialized capabilities:
Nemotron-3-Super-120B is optimized for collaborative agents and high-volume workloads such as IT ticket automation. It employs a hybrid Latent Mixture-of-Experts (LatentMoE) architecture with Mamba-2 and MoE layers, enabling strong agentic, reasoning, and conversational capabilities useful for multi-agent applications like software development and cybersecurity triaging.
Qwen 3.5 9B excels in multilingual coding, instruction following, and long-horizon planning, automating software development workflows and executing complex, multi-step office tasks. Its compact design balances efficiency and performance for resource-constrained environments.
Qwen 3.5 27B provides deeper contextual understanding, extended reasoning capabilities, and enhanced spatial/complex scenario comprehension, ideal for advanced multimodal reasoning and large-scale document processing.
With SageMaker JumpStart, customers can deploy any of these models with just a few clicks to address their specific AI use cases.
To get started with these models, navigate to the SageMaker JumpStart model catalog in the SageMaker console or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
Categories: general:products/amazon-sagemaker-jumpstart,general:products/aiml
Source: Amazon Web Services
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