
Multimodal MoE model supporting text/image/video inputs with OpenAI-compatible API, powered by SGLang.
The Qwen3.6-35B-A3B NIM Container for DGX Spark is a deployable inference container for serving Qwen3.6-35B-A3B, a third-party multimodal Mixture of Experts model capable of processing text, image, and video inputs for text generation. The container provides an OpenAI-compatible API for self-hosted deployment on NVIDIA DGX Spark, powered by the vLLM backend, and ships multiple precision and speculative-decoding presets selectable at run time.
The container components are ready for commercial use.
The model embedded in the container is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA Qwen3.6-35B-A3B Model Card.
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products; and the use of the model is governed by the NVIDIA Open Model License Agreement.
Additional Information: Apache-2.0 License.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
The Qwen3.6-35B-A3B NIM Container for DGX Spark includes the following models:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| (Default) Qwen3.6-35B-A3B-FP8 | FP8 target model for multimodal text generation, agentic coding, visual understanding, reasoning | Automatic (downloaded at startup with per-file checksum verification) |
| Qwen3.6-35B-A3B-DFlash | DFlash drafter model used for draft-model speculative decoding to accelerate the target model | Automatic (downloaded at startup with per-file checksum verification) |
| Qwen3.6-35B-A3B-NVFP4 | NVFP4 target model for reduced-memory, higher-throughput multimodal inference | Automatic (downloaded at startup with per-file checksum verification) |
Each precision ships with two speculative-decoding presets, selected at run time via the NIM_MODEL_PROFILE environment variable:
The Qwen3.6-35B-A3B NIM Container for DGX Spark exposes an OpenAI-compatible chat completions API for seamless integration into existing applications and workflows.
API Endpoints:
/v1/chat/completions — Chat completions (streaming and non-streaming)/v1/models — List available models/v1/health/ready — Health checkOperating System: Linux
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.
Please make sure you have proper rights and permissions for all input image and video content; if image or video includes people, personal health information, or intellectual property, the image or video generated will not blur or maintain proportions of image subjects included.
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Overview page for release documentation, deployment guides and more.
Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)