Details
- Deep Learning models work natively with NVIDIA hardware.
- Setonix at Pawsey contains a large number of AMD GPUs.
- Models can be made to work with AMD hardware available at Pawsey.
Completed
- Build AMD compatible container for AlphaFold2.
- Build AMD compatible container for ColabFold.
- Build AMD compatible container for Boltz-1.
- Build AMD compatible container for ESMFold.
- Build AMD compatible container for Boltz-2.
- Adapt containers for compatibility with nf-core proteinfold.
- Test nfcore proteinfold workflow at Pawsey.
In Progress
- ProteinFold config optimized for Pawsey.
Future
Contributors
Computational Systems Officer, Structural Biology Facility UNSW
Bioinformatics Applications Specialist, Pawsey Supercomputing Research Centre