Model-Free NIM Container Overview

Description:

Model-Free NIM provides container software for serving compatible, customer-provided models through standard inference APIs. No model artifacts are bundled in the container.

The container components are for demonstration purposes and not for production usage.

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.

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

Customer-provided model artifacts are governed by their applicable license terms.

You are responsible for ensuring that your use of customer-provided models complies with all applicable laws and license terms.

Deployment Geography:

Global

Release Date:

NGC 10/14/2026 via link

Program Classes:

The Model-Free NIM Container accepts customer-provided compatible models at runtime.

\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
Customer-provided compatible models	Run compatible models with the Model-Free NIM runtime	Provided by the customer at runtime

Deployment Details:

The container provides inference APIs for customer-provided compatible models, including /v1/models and /v1/chat/completions.

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):

NVIDIA NIM for LLM and VLM Documentation

Container Version(s):

2.1.5

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.

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 NVIDIA NIM for LLM and VLM 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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No model artifacts are bundled in the container.","# Model-Free NIM Container Overview\n\n## Description:\nModel-Free NIM provides container software for serving compatible, customer-provided models through standard inference APIs. No model artifacts are bundled in the container.\n\n*The container components are for demonstration purposes and not for production usage.*\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/).\n\nNo model weights, checkpoints, or model artifacts are included or distributed with this container.\n\nCustomer-provided model artifacts are governed by their applicable license terms.\n\nYou are responsible for ensuring that your use of customer-provided models complies with all applicable laws and license terms.\n\n## Deployment Geography:\nGlobal\n\n## Release Date:\n**NGC** 10/14/2026 via [link](https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/vllm-model-free-nim-experimental)\n\n## Program Classes:\nThe Model-Free NIM Container accepts customer-provided compatible models at runtime.\n\n| Model Name & Link | Use Case | How to Pull the Model |\n|:------------------|:---------|:---------------------|\n| Customer-provided compatible models | Run compatible models with the Model-Free NIM runtime | Provided by the customer at runtime |\n\n## Deployment Details:\nThe container provides inference APIs for customer-provided compatible models, including `/v1/models` and `/v1/chat/completions`.\n\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\n## Reference(s):\n- [NVIDIA NIM for LLM and VLM Documentation](https://docs.nvidia.com/nim/large-language-models/latest/about-nim-llm/overview.html)\n\n## Container Version(s):\n2.1.5\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\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 [NVIDIA NIM for LLM and VLM 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\nGet access to community knowledge base articles and support cases ([NVIDIA Developer Forums](https://forums.developer.nvidia.com/)).","vLLM Model-Free NIM (Experimental)",["D",1793837619423],[256,190,250,253],"/api/image/nim/nvidia/containers/vllm-model-free-nim-experimental",14325393637,{"_290":291,"_292":293,"_294":295,"_296":26,"_297":298},"hasSignedTag",[284],[279,280],[],[275],[],{"_91":276,"_124":276,"_125":277,"_127":278},"signed images",{"_129":278,"_124":276},"system",{"_91":130,"_124":130,"_125":283,"_127":128},{"_91":281,"_124":281,"_125":282,"_127":128},"NSPECT-XWFD-L6PL",{"_129":128,"_124":281},{"_129":128,"_124":130},{"_91":285,"_124":286,"_125":287,"_127":288},"NVIDIA NIM","nimmcro_nvidia_nim",{"_129":289,"_124":286},"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.

Additional information: Apache 2.0.

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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 2.0.

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