Twelve quick tips for designing AI-driven HPC workflows
This technical guide presents twelve practical recommendations for designing AI-driven high-performance computing (HPC) workflows that balance the iterative, probabilistic nature of modern AI with traditional HPC infrastructure. The article addresses critical system-level challenges including containerization, resource management, and I/O optimization, providing researchers with a framework to transition from rigid computational pipelines to adaptive, intelligent environments.