Release Notes#

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 for upgrading from previous versions

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.

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

Release 1.0.0#

Summary#

This is the first release of NVIDIA NIM for OpenFold2.