container

Provide examples and guidance on how to serve and fine-tune LLMs at the MPCDF.

Build and manage conda environments in compressed image files for efficiency, portability, and reproducibility. Useful on the large parallel filesystems of HPC clusters and supercomputers to avoid e.g. performance and inode issues.

A repository for AI containers for the MPCDF HPC systems: recipes and how to's