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