> This page is for VISTA-3D, version 1.0.0 (Latest) (default).
> For other versions, use one of these documentation indexes:
> - 1.0.0 (Latest) (default): https://docs.nvidia.com/nim/medical/vista3d/1.0.0/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nim/medical/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/medical/_mcp/server.

# Model Details

## Model Architecture

**Architecture Type:** Transformer  
**Network Architecture:** SAM-like

## Input

**Input Type(s):** Computed Tomography (CT) Image  
**Input Format(s):** (Neuroimaging Informatics Technology Initiative) NIfTI  
**Input Parameters:** Three-Dimensional (3D)  
**Other Properties Related to Input:** Array of Class/Point Information

## Output

**Output Type(s):** Image  
**Output Format:** NIfTI  
**Output Parameters:** 3D  

## Software Integration

**Latest model version:** 0.5.7


**Runtime Engine(s):**
MONAI Core v.1.4

**Supported Hardware Microarchitecture Compatibility:**

* NVIDIA Ampere
* NVIDIA Hopper

**[Preferred/Supported] Operating System(s):**
Linux  

## Inference

**Engine:** [Triton](https://developer.nvidia.com/triton-inference-server)  
**Test Hardware:** A100, H100, L40s, RTX 6000 Ada

## Supported Anatomy

You can find a comprehensive list of all the classes available in the model in the [VISTA-3D labels.json](https://raw.githubusercontent.com/Project-MONAI/tutorials/e66be5955d2b4f5959884ca026932762954b19c5/vista_3d/label_dict.json).

## 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 supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).

## License

The NIM container and model are governed by the [NVIDIA software and model evaluation license agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).