HPC centers are at an inflection point. For decades, batch scheduling systems have been the backbone of supercomputing — reliable, predictable, and optimized for throughput. But as scientific discovery increasingly depends on tightly coupled simulation and AI/ML workflows, that same reliability has become a constraint.