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The NIM container is governed by theNVIDIA Software License AgreementandProduct-Specific Terms for NVIDIA AI Products. Use of this model is governed by theNVIDIA Open Model License.Additional Information:Apache 2.0 license.

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Qwen3.5-35B-A3B Container Overview

Description:

This container houses the Qwen3.5-35B-A3B model, which is a multimodal vision-language Mixture-of-Experts model designed for native multimodal agent applications, supporting text, image, and video inputs. It integrates multimodal learning, architectural efficiency, and reinforcement learning at scale to improve performance across reasoning, coding, agents, and visual understanding.

The container components are ready for commercial use.

License/Terms of Use:

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products. Use of this 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.

Deployment Geography:

Global

Release Date:

Huggingface: 02/24/2026 via link

Qwen3.5-35B-A3B NIM:

The Qwen3.5-35B-A3B Container includes the Qwen3.5-35B-A3B model.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

Model Name	Use Case	How to Pull the Model
Qwen3.5-35B-A3B	Mixture-of-Experts model designed for native multimodal agent applications, supporting text, image, and video inputs..	Automatic

Deployment Details:

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.

Container Version(s):

nvcr.io/nim/qwen/qwen3.5-35b-a3b:1.7.0-variant

Security Common Vulnerabilities and Exposures (CVEs)

Please review the Security Scanning tab on NGC to view the latest security scan results.\nFor certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

Ethical Considerations:

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.

Users are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the VLM NIM page for release documentation, deployment guides and more.

NVIDIA Developer Community Forum

For support, Visit the NVIDIA Developer Community Forum

Get Help

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NVIDIA NIM documentation for release documentation, deployment guides and more.

NVIDIA Developer Community Forum

For support, visit the NVIDIA Developer Community Forum.

End of Support — \"This artifact is no longer supported. NVIDIA strongly recommends artifacts that are up to date and supported\"

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\n\n\n### License/Terms of Use:\nGOVERNING TERMS: The NIM container is governed by the [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and [Product-Specific Terms for NVIDIA AI Products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/). Use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/). Additional Information: [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0.txt).\n\n\n**You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.**\n\n### Deployment Geography:
\nGlobal
\n\n### Release Date:
\n**Huggingface:** 02/24/2026 via [link](https://huggingface.co/Qwen/Qwen3.5-35B-A3B)\n\n\n\n## Qwen3.5-35B-A3B NIM:
\nThe Qwen3.5-35B-A3B Container includes the Qwen3.5-35B-A3B model.\n\n\n| Model Name | Use Case | How to Pull the Model |\n|---|---|---|\n| Qwen3.5-35B-A3B | Mixture-of-Experts model designed for native multimodal agent applications, supporting text, image, and video inputs.. | Automatic |\n\n\n## Deployment Details:
\nOur 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.
\n\n\n## Container Version(s): \nnvcr.io/nim/qwen/qwen3.5-35b-a3b:1.7.0-variant\n\n## Security Common Vulnerabilities and Exposures (CVEs)\nPlease review the Security Scanning tab on NGC to view the latest security scan results.\nFor certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.\n\n## Ethical Considerations: \nNVIDIA 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. \n\nUsers are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.\n\nPlease report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).\n\n# Get Help\n\n## Getting started with the NIM\nDeploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the [VLM NIM page](https://docs.nvidia.com/nim/vision-language-models/latest/introduction.html) for release documentation, deployment guides and more.\n\n## NVIDIA Developer Community Forum\n\nFor support, Visit the [NVIDIA Developer Community Forum](https://forums.developer.nvidia.com/)\n\n## Get Help\n\n### Getting started with the NIM\n\nDeploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the [NVIDIA NIM documentation](https://docs.nvidia.com/nim/large-language-models/latest/about-nim-llm/overview.html) for release documentation, deployment guides and more.\n\n### NVIDIA Developer Community Forum\n\nFor support, visit the [NVIDIA Developer Community Forum](https://forums.developer.nvidia.com/).\n\n**End of Support** — \"This artifact is no longer supported. NVIDIA strongly recommends artifacts that are up to date and supported\"","displayName","Qwen3.5-35B-A3B",["D",1782420476542],"publisher","Qwen","latestVersion","versions",[184,124,188,190],"imageUrl","/api/image/nim/qwen/containers/qwen3.5-35b-a3b","rawImageUrl","canGuestDownload","latestVersionSizeInBytes",9599378789,"licenseTerms",{"_255":67,"_256":16,"_257":258,"_259":20},"isMultinodeEnabled","isMultiArchitecture","hasSignedTag","featureLabels",[249],"displayLabels",[242,243],"policyLabels",[],"systemLabels",[234],"products",[],"hasNimMetadata",{"_204":235,"_236":235,"_237":238,"_239":240},"signed images","value","filter",{"_241":240,"_236":235},"category","system","field",{"_204":247,"_236":247,"_237":248,"_239":246},{"_204":244,"_236":244,"_237":245,"_239":246},"NSPECT-BEP8-HIAA",{"_241":246,"_236":244},"label","Experimental",{"_241":246,"_236":247},{"_204":250,"_236":251,"_237":252,"_239":253},"NVIDIA NIM","nimmcro_nvidia_nim",{"_241":254,"_236":251},"feature","nvidia_nim","governingTerms","licenseId","licenseVersion","v1.0","needsAcceptance",{"_92":1243,"_94":1244},"ngcApps",[1196],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1177":1178,"_1179":1180,"_1181":1182,"_1183":1184,"_1185":271,"_123":297,"_1186":1187,"_1188":50,"_1189":18,"_1190":18,"_1191":1192,"_1193":18,"_1194":1195},"amplitude",{"_1174":1175,"_810":-7,"_1176":20},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1168":1169,"_1170":1171,"_1172":1173},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1789795401153,"1.17.0","defaultSearchSuggestions",{"_1050":377,"_1051":1052,"_1053":1054,"_1055":1056},"announcements",[],"consentState",{"_334":1040,"_1041":20,"_1042":20,"_1043":18,"_1044":1045},"consentConfig",{"_316":317,"_318":319,"_320":321,"_322":323,"_324":325,"_326":327,"_328":329,"_330":331,"_332":333,"_334":335},"showContactAdmin",[],[],[310,311,312,313,314,315],{"_39":59,"_41":64,"_43":61,"_45":-5,"_47":-5,"_49":50},{"_39":59,"_41":62,"_43":61,"_45":-5,"_47":-5,"_49":50},{"_39":59,"_41":60,"_43":61,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":55,"_43":61,"_45":-5,"_47":-5,"_49":50},{"_39":51,"_41":52,"_43":61,"_45":-5,"_47":-5,"_49":50},{"_39":40,"_41":42,"_43":44,"_45":46,"_47":53,"_49":50},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. The information collected might relate to you, your preferences, or your device. We use that information to make the site work, analyze performance and traffic on our website, provide a more personalized web experience, and assist in our marketing efforts.

Under certain privacy laws, you have the right to direct us not to \"sell\" or \"share\" your personal information for targeted advertising. To opt-out of the \"sale\" and \"sharing\" of personal information through cookies, you must opt-out of optional cookies using the toggles below. To opt out of the \"sale\" and \"sharing\" of data collected by other means (e.g., online forms) you must also update your data sharing preferences through the NVIDIA Preference Center.

Click on the different category headings below to find out more and change the settings according to your preference. You cannot opt out of Required Cookies as they are deployed to ensure the proper functioning of our website (such as prompting the cookie banner and remembering your settings, etc.). By clicking \"Save and Accept\" or \"Decline All\" at the bottom, you consent to the use of cookies and other tools as described in our Cookie Policy in accordance with your settings and accept our Terms of Service (which contains important waivers). 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These cookies may store a unique ID so that our system will remember you when you return. 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