A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability
DGX agentarXiv:2605.18750v1 Announce Type: cross Abstract: Pipeline parallelism is a key technique for scaling large-model training, but modern workloads exhibit runtime variability in computation and communic