Scheduler Trick Triples RL Training Speed

🔥 What happened Researchers from Huawei (MindSpeed) dropped the Adaptive Scheduling Pipeline (ASP), an offline scheduler for asynchronous RL training of LLMs. A single preprocessing pass kills three sources of rollout idle time: padding, long-tail, and sorting bubbles. 💡 Why it matters Throughput jumps up to 3.22x versus MindSpeed-RL, and iteration time drops by 76.8%. Against verl, iteration time falls 62.5%. In an internal telecom workflow, training shrank from over three months to roughly two. ⚡ Our take If your RL pipeline still runs synchronously, you're burning GPU hours for nothing. The kicker: the scheduler is nearly free because it runs offline.