Model-Free NIM 2.0 is a NIM microservice container designed to support a broad range of LLMs. It includes a production-ready inference runtime with optimized inference engines from NVIDIA and the community such as vLLM.
Model-Free NIM PB6
Description:
Model-Free NIM 2.0 is a NIM microservice container designed to support a broad range of LLMs. It includes a production-ready inference runtime with optimized inference engines from NVIDIA and the community—such as vLLM. When provided with an LLM at container runtime, stored in a Hugging Face format, the NIM identifies the model’s architecture and quantization, selects the appropriate inference backend, applies preconfigured settings for the model and backend, and begins serving the model for inference. For more information, see the NIM documentation and supported model architectures.
The Model-Free NIM Production Branch, exclusively available with NVIDIA AI Enterprise, is a 9-month supported, API-stable branch that includes monthly fixes for high and critical software vulnerabilities. This branch provides a stable and secure environment for building your mission-critical AI applications. The Model-Free NIM production branch releases every six months with a three-month overlap in between two releases.
The container components are ready for commercial/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.
The use of any models in this container is governed by the NVIDIA Open Model Agreement in addition to any terms which govern the specific models used.
You are responsible for ensuring that your use of any provided models complies with all applicable laws.
Deployment Geography:
Global
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.
Documentation
Visit the LNIM Container LLM page for release documentation, deployment guides, and more.
Release Date:
vLLM Inference Engine v0.17.1: Mar 11 ,2026
Program Classes:
| Inference Engine Name | Use Case | How to Pull the Inference Engine |
|---|---|---|
| vLLM Inference Engine v0.17.1 | Execution for building custom large language models | Automatic |
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. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
Get Help
Getting started with NVIDIA NIM
Deploying and integrating NVIDIA NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container LLM page for release documentation, deployment guides and more.
Enterprise Support
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