> This page is for OpenFold2, version 2.6.0 (Latest) (default).
> 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.
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## Release 2.6.0

### Summary

This release moves the whole prediction path onto the BioNeMo Inference Runtime.
Parsing, MSA and template featurization, and structure writing were previously
handled by OpenFold code with the runtime used only as an optimized model. They
are now handled by the runtime end to end. Predictions are unchanged within
measurement error, and the container is substantially smaller.

### Key Features

* **Security**: Addressed all CVE (Common Vulnerabilities and Exposures) issues.
* **Single optimized runtime**: The NIM no longer carries a separate data
  pipeline. Accuracy was checked against experimental structures rather than
  against the previous pipeline: the top-ranked lDDT-Ca difference is +0.0034
  with a 95% confidence interval of \[-0.0031, +0.0100], that is, no detectable
  change. Refer to [Performance](/nim/bionemo/openfold2/performance) for per-SKU measurements.
* **Smaller container**: The image builds on stock PyTorch plus one wheel.
  HMMER, HHsuite, MMseqs2, OpenMM, and DeepSpeed were removed. They served MSA
  search and relaxation, which this NIM never performs because alignments arrive
  in the request.

### Notes and Limitations

* `aligned_confidence_probs` in each structure record is deprecated and is
  always null. Its `[N, N, 64]` shape serialized to hundreds of megabytes for
  long sequences. Use `predicted_aligned_error` instead; the field remains in the
  response schema so existing clients do not break on a missing key.
* Structural relaxation remains unsupported. `relax_prediction` must be omitted
  or `false`.
* All other features from release 2.5.0 remain supported.