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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.

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vLLM Model-Free NIM

Description:

The vLLM Model-Free NIM is an inference container for running compatible customer-provided models with NVIDIA GPU acceleration.

This container uses a customized vLLM 0.25.0 serving runtime and supports multi-node deployment.

No model weights, checkpoints, or model artifacts are included or distributed with this container.

The container components are ready for commercial/non-commercial uses.

License/Terms of Use:

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

Deployment Geography

Global

Release Date

NGC 07/27/2026 via VLLM-Model-Free NIM container

Program Classes

This NIM container does not include or automatically distribute model artifacts.

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

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

Model Source	Use Case	How to Provide the Model
Customer-provided compatible models	Text generation and related inference tasks	Provided by the customer at runtime

Deployment Details

The container exposes OpenAI-compatible inference and health endpoints.

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.

Reference(s)

Model-Free NIM container
NVIDIA NIM documentation

Security Common Vulnerabilities and Exposures (CVEs)

Please review the Security Scanning tab on NGC to view the latest security scan results.

For 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.

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 NIM documentation for release documentation, deployment guides and more.

NVIDIA Developer Community Forum

Get access to community knowledge base articles and support cases (NVIDIA Developer Forums).

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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## Reference(s)\n\n- [Model-Free NIM container](https://docs.nvidia.com/nim/large-language-models/latest/deployment/model-free-nim.html)\n- [NVIDIA NIM documentation](https://docs.nvidia.com/nim/large-language-models/latest/about-nim-llm/overview.html)\n\n\n## Security Common Vulnerabilities and Exposures (CVEs)\n\nPlease review the Security Scanning tab on NGC to view the latest security scan results.\n\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\n\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\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\n\nDeploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the [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\nGet access to community knowledge base articles and support cases ([NVIDIA Developer Forums](https://forums.developer.nvidia.com/)).","displayName","vLLM Model-Free NIM",["D",1787953145406],"publisher","NVIDIA","latestVersion","versions",[203,199,140],"imageUrl","/api/image/nim/nvidia/containers/vllm-model-free-nim","rawImageUrl","canGuestDownload","latestVersionSizeInBytes",10366492300,"licenseTerms",{"_262":263,"_264":16,"_265":266,"_267":20,"_268":269},"isMultinodeEnabled","isMultiArchitecture","hasSignedTag","featureLabels",[256],"displayLabels",[253],"policyLabels",[],"systemLabels",[246],"products",[],"hasNimMetadata",{"_216":247,"_248":247,"_249":250,"_75":251},"signed images","value","filter",{"_252":251,"_248":247},"system","field",{"_216":254,"_248":254,"_249":255,"_75":81},"Experimental",{"_252":81,"_248":254},{"_216":257,"_248":258,"_249":259,"_75":260},"NVIDIA NIM","nimmcro_nvidia_nim",{"_252":261,"_248":258},"feature","nvidia_nim","governingTerms","

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

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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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These cookies may store a unique ID so that our system will remember you when you return. 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