> This page is for Boltz-2, version 1.8.0.
> For other versions, use one of these documentation indexes:
> - 1.10.0 (Latest) (default): https://docs.nvidia.com/nim/bionemo/boltz2/1.10.0/llms.txt
> - 1.9.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.9.0/llms.txt
> - 1.8.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.8.0/llms.txt
> - 1.7.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.7.0/llms.txt
> - 1.6.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.6.0/llms.txt
> - 1.5.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.5.0/llms.txt
> - 1.4.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.4.0/llms.txt
> - 1.3.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.3.0/llms.txt
> - 1.2.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.2.0/llms.txt
> - 1.1.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.1.0/llms.txt
> - 1.0.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.0.0/llms.txt

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## Release 1.5.0

### Summary

This release extends GPU support with the addition of the GB10 architecture, updates cuEquivariance for enhanced performance, and introduces new parameter configurations, template structure support, and output options.

### Key Features

* **GB10 DGX Spark Support**: Added support for GB10 DGX Spark SKUs with sequence lengths up to 1536 residues

* **cuEquivariance integration**: Updated to cuEquivariance [0.8.1](https://github.com/NVIDIA/cuEquivariance/releases/tag/v0.8.1) for GB10 support

* **Enhanced parameter ranges**: Added matching parameter range for `recycling_steps` to 10 and `diffusion_samples` to 25, aligning with Boltz2 public model

* **PAE Matrix output**: Support for returning PAE (Predicted Aligned Error) Matrix output using the `write_full_pae = true` flag in requests

* **Template structure support**: Added support for template structures in both CIF and PDB formats, enabling users to provide structural templates for enhanced prediction accuracy