~/talk

Scaling Gene Therapy Research with Argo Workflows and Hera

slides:none on file

Dyno Therapeutics uses Argo Workflows and Hera to generate and test AAV variants from 750‑base sequences (search space ~20^750), running design jobs with ~500 pods per workflow and 10–15 concurrent workflows, fan‑out/fan‑in patterns, and model training on nodes with ~4 GPUs each. Hera is a Python SDK that replaces YAML with script templates for faster experiments. Pipelines chunk configs to avoid etcd/annotation limits, process 50GB–TB sequencing files in parallel, and perform full rollback on failed ingestion steps.

AI-written summary · about

  1. 0:00Start
  2. 1:21Gene therapy
  3. 2:29Solving the delivery problem
  4. 5:37Sequence design
  5. 6:44Model training
  6. 8:50When things become a reality
  7. 13:27Hera: easy access to Argo
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