> This page is for OpenFold2, version 2.0.0.
> For other versions, use one of these documentation indexes:
> - 2.6.0 (Latest) (default): https://docs.nvidia.com/nim/bionemo/openfold2/2.6.0/llms.txt
> - 2.5.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.5.0/llms.txt
> - 2.4.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.4.0/llms.txt
> - 2.3.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.3.0/llms.txt
> - 2.2.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.2.0/llms.txt
> - 2.1.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.1.0/llms.txt
> - 2.0.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.0.0/llms.txt
> - 1.2.0: https://docs.nvidia.com/nim/bionemo/openfold2/1.2.0/llms.txt
> - 1.1.0: https://docs.nvidia.com/nim/bionemo/openfold2/1.1.0/llms.txt
> - 1.0.0: https://docs.nvidia.com/nim/bionemo/openfold2/1.0.0/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/bionemo/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/bionemo/_mcp/server.

# Release Notes

## October 10, 2025

## Release 2.0.0

### Summary

This release removes HHR-based template processing in favor of explicit mmCIF template support and adds TensorRT integration for new GPU architectures.

### Key Changes

* **Enhanced GPU support**: TensorRT integration for L40S, B200, and RTX 6000 Ada Generation

* **Removed**: Removed the following functionalities:
  * The downloading and decompressing of a bundled database of structure files at NIM startup
  * The web API accepting input fields containing HHR content
  * The input data processing code that uses the HHR content to select template structures from the de-compressed database of structure files

* **Simplified**: Template workflow now uses only mmCIF format using `explicit_templates`, where users can submit one or multiple mmCIF strings as part of their structure prediction requests.

* **Reduced footprint**: Smaller container size and faster startup without bundled databases

* **Migration guide**: Refer to the [Migration Guide](/nim/bionemo/openfold2/2.0.0/migrating-from-hhr-to-explicit-templates) for upgrading from previous versions

## September 2, 2025

## Release 1.2.0

### Summary

This release introduces support for user-supplied mmCIF input features.

### Key Features

* Users can now submit one or multiple mmCIF strings as part of their structure prediction requests.
* The structure prediction network can utilize these user-supplied mmCIF inputs for enhanced flexibility and custom workflows.
* This feature enables new use cases where users provide their own structural templates or data in mmCIF format.

## May 28, 2025

## Release 1.1.0

### Summary

This release introduces significant performance improvements through TensorRT (TRT) optimization.

### Key Features

* Enhanced inference performance using TensorRT optimization
* Improved model execution speed
* Optimized memory usage during inference

## March 17, 2025

## Release 1.0.0

### Summary

This is the first release of NVIDIA NIM for OpenFold2.