Release 1.3.0
Summary
This release adds support for GB200 GPU with ARM architecture and extends sequence processing capabilities for both PyTorch and TensorRT backends.
Key Features
- GB200 Support: Added support for GB200 GPU with ARM architecture
- Extended Sequence Processing:
- PyTorch backend supports up to 4096 length sequences
- TensorRT backend supports up to 2048 length sequences
- Enhanced compatibility with ARM-based systems
Release 1.2.0
Summary
This release introduces support for longer sequence processing and additional GPU compatibility, along with performance optimizations.
Key Features
- Support longer sequence (2048 length) processing for TRT engines on A100, H100, and B200 with memory larger than 48GB
- Support PyTorch and TRT engines with NVIDIA RTX6000 (RTX6000 and RTX6000-Ada GPU Workstation Edition GPU)
- Improve model execution speed
- Optimize memory usage during inference
Release 1.1.0
Summary
Boltz-2 enables accurate biomolecular structure prediction from input sequences including proteins, DNA, RNA, and ligands. It also supports constrained guidance for complex structural prediction using bond and pocket specifications.
This release adds binding affinity prediction for ligands and complexes. The underlying Boltz-2 model has been updated to version 2.2.0. More of the Boltz-2 scores are included in the output. There are minor bug fixes to improve the overall user experience.
Release 1.0.0
Summary
This is the first release of the Boltz-2 NIM. Boltz-2 enables accurate biomolecular structure prediction from input sequences including proteins, DNA, RNA, and ligands. It also supports constrained guidance for complex structural prediction using bond and pocket specifications.