Qwen3.6-35B-A3B-NVFP4 and Wan2.1-T2V-1.3B-Diffusers models now available on Amazon SageMaker JumpStart

New Models Available on Amazon SageMaker JumpStart

NVIDIA's Qwen3.6-35B-A3B-NVFP4 and Alibaba's Wan2.1-T2V-1.3B-Diffusers models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These models bring specialized capabilities spanning agentic coding with long-context reasoning and lightweight text-to-video generation, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure.

Qwen3.6-35B-A3B-NVFP4

• Optimized for: agentic coding, multimodal reasoning, and long-context understanding
• Parameters: 35B total parameters with 3B activated per token
• Context Window: 262K-token context window extendable to ~1M via YaRN scaling
• Quantized to: NVFP4 using NVIDIA's ModelOpt framework
• Capabilities: preserves thinking across conversation turns, multi-token prediction, and tool calling for multi-step agent pipelines

Wan2.1-T2V-1.3B-Diffusers

• Optimized for: text-to-video generation on consumer-grade hardware
• Parameters: 1.3B parameters
• VRAM: requires only 8.19 GB of VRAM
• Performance: generates a 5-second 480p video on an RTX 4090 in approximately 4 minutes

What to do

• Navigate to the SageMaker JumpStart model catalog in the SageMaker console
• Use the SageMaker Python SDK to deploy the models to your AWS account
• Refer to the Amazon SageMaker JumpStart documentation for more information

Source: AWS release notes

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