PDG colab: They need data pipelines for ML & ML training pipelines (see post-meeting email for details). My concern: Codeflare satisfies only a small part of their needs, they primarily need data ops (like Airflow and Spotify's Luigi).
IN-CORE colab: They have data, need customized ML. I can help them use Codeflare to get better ML performance.
Ensure Dask worker.distributed for XGBoost works on HAL (currently, workers getting killed by garbage collector)
Talk to HAL admins about Ray support (for IBM Codeflare). Currently unsupported on ppcle.