Alpamayo 2 Super is a 34B-parameter foundation model designed to tackle multiple autonomous vehicle (AV) development tasks.
Alpamayo2-Super 34B Container Overview
Alpamayo-1.5-10B
Description:
This NIM container houses the Alpamayo 2 Super model, which is a 34B-parameter foundation model designed to tackle multiple autonomous vehicle (AV) development tasks. It combines a 32B VLM backbone with a 2B diffusion expert.
The container components are ready for commercial use.
License/Terms of Use:
GOVERNING TERMS: Use of this container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products. Use of the model is governed under the OpenMDW-1.1 license.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
Hugging Face 07/31/2026 via URL.
Program Class:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Alpamayo2-Super- 34B https://catalog.ngc.nvidia.com/orgs/nim/nvidia/models/alpamayo-2-super/- | Supports multiple AV development tasks such as trajectory prediction, visual question answering, 2D grounding, and auto-labeling. | Automatic |
Deployment Details:
Visit the NIM Container Alpamayo page for release documentation, deployment guides, and more.
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.
Container Version(s):
nvcr.io/nim/nvidia/alpamayo2-super:latest
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.
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.
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Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the Alpamayo NIM page for release documentation, deployment guides and more.
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