NVIDIA's Qwen3.6-35B-A3B-NVFP4 and Alibaba's Wan2.1-T2V-1.3B-Diffusers models now available on Amazon SageMaker JumpStart
Amazon SageMaker JumpStart now offers NVIDIA's Qwen3.6-35B-A3B-NVFP4 and Alibaba's Wan2.1-T2V-1.3B-Diffusers models, providing agentic coding with long-context reasoning and lightweight text-to-video generation capabilities.
Amazon SageMaker JumpStart now offers NVIDIA's Qwen3.6-35B-A3B-NVFP4 and Wan2.1-T2V-1.3B-Diffusers models from Aliyun. These models expand the portfolio of foundation models available to AWS customers. Qwen3.6-35B-A3B-NVFP4 is NVIDIA's quantized variant optimized for agent-based coding, multimodal inference, and long-context understanding, activating 3B parameters per token and supporting a 262K token context window. Wan2.1-T2V-1.3B-Diffusers excels at text-to-video generation on consumer hardware, requiring 8.19 GB of VRAM for its 1.3B parameter model and producing a 5-second 480p video in about 4 minutes on an RTX 4090. Using SageMaker JumpStart, these models can be deployed in a few clicks to address specific AI use cases.
Why it matters
Amazon SageMaker JumpStart is a platform that allows AWS customers to easily access a variety of foundation models, and these new models offer specialized solutions for tasks such as agentic coding and video generation.