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

ADDITIONAL INFORMATION: Apache License, Version 2.0.

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Qwen3.5-397B-A17B Container Overview

Description:

This container houses the Qwen3.5-397B-A17B model, which is a multimodal foundation model featuring a Hybrid Mixture-of-Experts architecture with early fusion vision-language training, designed for state-of-the-art performance across chat, retrieval-augmented generation, vision-language understanding, video understanding, and agentic workflows.\n

The container components are ready for commercial or non-commercial use.

License/Terms of Use:

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the 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 02/16/2026 via link
build.nvidia.com 02/16/2026 via link

Qwen3.5-397B-A17B NIM:

The Qwen3.5-397B-A17B Container includes the Qwen3.5-397B-A17B 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 & Link	Use Case	How to Pull the Model
Qwen3.5-397B-A17B https://build.nvidia.com/qwen/qwen3.5-397b-a17b	Designed for chat, retrieval-augmented generation, vision-language understanding, video understanding, and agentic workflows.	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.

\nVisit the NVIDIA NIM for Cosmos page for release documentation, deployment guides and more.

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. 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.

Enterprise Support

Get access to knowledge base articles and support cases or submit a ticket.

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\n\nThe container components are ready for commercial or non-commercial use.\n\n### License/Terms of Use:\n**GOVERNING 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 the [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**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 02/16/2026 via [link ](https://huggingface.co/Qwen/Qwen3.5-397B-A17B)\n* build.nvidia.com 02/16/2026 via [link ](https://build.nvidia.com/qwen/qwen3.5-397b-a17b)\n\n## Qwen3.5-397B-A17B NIM:
\nThe Qwen3.5-397B-A17B Container includes the Qwen3.5-397B-A17B model.\n\n\n| Model Name & Link | Use Case | How to Pull the Model |\n|---|---|---|\n| Qwen3.5-397B-A17B [https://build.nvidia.com/qwen/qwen3.5-397b-a17b](https://build.nvidia.com/qwen/qwen3.5-397b-a17b) | Designed for chat, retrieval-augmented generation, vision-language understanding, video understanding, and agentic workflows. | 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.
\nVisit the NVIDIA NIM for Cosmos [page](https://docs.nvidia.com/nim/vision-language-models/latest/introduction.html) for release documentation, deployment guides and more.
\n\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. 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## Enterprise Support\nGet access to knowledge base articles and support cases or [submit a ticket](https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/).","displayName","Qwen3.5-397B-A17B",["D",1789747027971],"publisher","Qwen","latestVersion","versions",[214,212,148,208,216],"imageUrl","/api/image/nim/qwen/containers/qwen3.5-397b-a17b","rawImageUrl","canGuestDownload","latestVersionSizeInBytes",12825600696,"licenseTerms",{"_275":276,"_277":16,"_278":279,"_280":20,"_281":282},"isMultinodeEnabled","isMultiArchitecture","hasSignedTag","featureLabels",[266,267],"displayLabels",[],"policyLabels",[],"systemLabels",[259],"products",[],"hasNimMetadata",{"_229":260,"_261":260,"_262":263,"_76":264},"signed images","value","filter",{"_265":264,"_261":260},"system","field",{"_229":273,"_261":273,"_262":274,"_76":271},{"_229":268,"_261":269,"_262":270,"_76":271},"NVIDIA NIM","nimmcro_nvidia_nim",{"_265":272,"_261":269},"feature","nvidia_nim","NVIDIA AI Enterprise Supported",{"_265":82,"_261":273},"governingTerms","

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

ADDITIONAL INFORMATION: Apache License, Version 2.0.

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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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This tracking cookie allows a website to link visitor behaviour to the recipient of an email marketing campaign, to measure campaign effectiveness.","investor.nvidia.com","This cookie is associated with Eventbrite and is used to deliver content tailored to the end user's interests and improve content creation. This cookie is also used for event-booking purposes.","_gat_gtag_UA_140825383_2","Google Analytics","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","catalog.ngc.nvidia.com","_uetsid","This cookie is used by Bing to determine what ads should be shown that may be relevant to the end user perusing the site. ","kndctr_F207D74D549850760A4C98C6_AdobeOrg_bc_session_id","ttcsid_XXXXXXXXXXXXXXXXXXXXCategory","This cookie name is associated with TikTok which is used to track your activity on the platform, including how you interact with their embedded services on other websites.This cookie is associated with TikTok. It helps track your activity on the platform, including how you interact with their embedded services on other websites.","_fbp","Used by Facebook to deliver a series of advertisement products such as real time bidding from third party advertisers","_zitok","_twpid","This cookie is typically associated with the use of Taptap Digital, a company specializing in digital advertising. It is used for tracking and ad personalization purposes.","_tt_enable_cookie","This cookie name is associated with TikTok which is used to collect data about behavior and purchases on the website and to measure the effect of advertising. 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It helps track your activity on the platform, including how you interact with their embedded services on other websites.","C0003","Personalization Cookies","These cookies collect data about how you have interacted with our website to help us improve your web experience, such as which pages you have visited. These cookies may store a unique ID so that our system will remember you when you return. They may be set by us or by third party providers whose services we have added to our pages. These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. If you do not allow these cookies, then some or all of these services may not function properly.",[598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622],[569,570,571,572,573],{"_407":483,"_229":483,"_176":409,"_381":593},{"_407":457,"_229":457,"_176":409,"_381":588},{"_407":583,"_229":583,"_176":409,"_381":584},{"_407":578,"_229":578,"_176":409,"_381":579},{"_407":574,"_229":574,"_176":409,"_381":575},"nvidia.partners",[576],{"_209":577,"_414":574,"_415":20,"_176":451},"edge","app.hushly.com",[580],{"_209":581,"_414":578,"_415":20,"_176":582},"*CORS","This domain is associated with Hushly, a platform that provides lead conversion solutions for content marketing by using personalization and content engagement strategies.","github.com",[585],{"_209":586,"_414":583,"_415":20,"_176":587},"_octo","This domain is owned by Github. 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These cookies may store a unique ID so that our system will remember you when you return. Information collected with these cookies is used to measure and find ways to improve website performance.",[681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709],[661,662,663,664],{"_407":676,"_229":676,"_176":409,"_381":677},{"_407":671,"_229":671,"_176":409,"_381":672},{"_407":470,"_229":470,"_176":409,"_381":668},{"_407":583,"_229":583,"_176":409,"_381":665},[666],{"_209":667,"_414":583,"_415":18,"_176":587},"_gh_sess",[669],{"_209":670,"_414":470,"_415":18,"_176":477},"YSC","bizible.com",[673],{"_209":674,"_414":671,"_415":20,"_176":675},"_BUID","Bizible is a marketing attribution software that tracks the performance of marketing efforts and connects them to revenue, primarily used for B2B environments.","a.usbrowserspeed.com",[678],{"_209":679,"_414":676,"_415":20,"_176":680},"tuid","This domain is owned by Ookla which provides internet speed testing services through its Speedtest application.",{"_209":751,"_414":529,"_415":20,"_176":752},{"_209":736,"_414":750,"_415":18,"_176":737},{"_209":719,"_414":532,"_415":20,"_176":644},{"_209":719,"_414":632,"_415":20,"_176":644},{"_209":748,"_414":529,"_415":20,"_176":749},{"_209":736,"_414":535,"_415":18,"_176":737},{"_209":746,"_414":529,"_415":20,"_176":747},{"_209":736,"_414":532,"_415":18,"_176":737},{"_209":744,"_414":631,"_415":20,"_176":745},{"_209":736,"_414":653,"_415":18,"_176":737},{"_209":716,"_414":532,"_415":20,"_176":718},{"_209":742,"_414":529,"_415":18,"_176":743},{"_209":740,"_414":529,"_415":20,"_176":741},{"_209":738,"_414":529,"_415":18,"_176":739},{"_209":736,"_414":627,"_415":18,"_176":737},{"_209":734,"_414":529,"_415":20,"_176":735},{"_209":732,"_414":529,"_415":20,"_176":733},{"_209":730,"_414":529,"_415":18,"_176":731},{"_209":728,"_414":636,"_415":20,"_176":729},{"_209":716,"_414":627,"_415":20,"_176":718},{"_209":726,"_414":529,"_415":20,"_176":727},{"_209":724,"_414":529,"_415":18,"_176":725},{"_209":722,"_414":529,"_415":20,"_176":723},{"_209":720,"_414":529,"_415":20,"_176":721},{"_209":719,"_414":529,"_415":20,"_176":644},{"_209":716,"_414":717,"_415":20,"_176":718},{"_209":714,"_414":529,"_415":20,"_176":715},{"_209":712,"_414":529,"_415":18,"_176":713},{"_209":710,"_414":529,"_415":20,"_176":711},"_ga_xxxxxxxxxx","Used by Google Analytics to identify and track an individual session with your device.","s_ppvl","This cookie is set by Adobe Analytics to store information on the percentage of the page displayed to the end user.","coveo_visitorId","This cookie name is associated with Coveo which is used to store a unique user ID for marketing purposes and to track the number of distinct users who submitted a query or clicked an item, counting them only once even if they did the same query or clicked the same item over the course of many visits.","_dd_s","marketplace.nvidia.com","Datadog Cookie used to group all events generated from a unique user session across multiple pages. It contains the current session ID, whether the session is excluded due to sampling, and the expiration date of the session. The cookie is extended for an extra 15 minutes every time the user interacts with the website, up to the maximum user session duration (4 hours).","nvweb_A","_ga","This cookie name is associated with Google Universal Analytics - which is a significant update to Google's more commonly used analytics service. This cookie is used to distinguish unique users by assigning a randomly generated number as a client identifier. It is included in each page request in a site and used to calculate visitor, session and campaign data for the sites analytics reports. By default it is set to expire after 2 years, although this is customisable by website owners.","_uetvid","This is a cookie utilised by Microsoft Bing Ads and is a tracking cookie. 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