MLOps

Post-Training RL Frameworks in Production: Comparing verl, OpenRLHF, TRL, and DeepSpeed-Chat Architecture, Distributed Scheduling, and Serving Trade-Offs

Post-Training RL Frameworks in Production: Comparing verl, OpenRLHF, TRL, and DeepSpeed-Chat Architecture, Distributed Scheduling, and Serving Trade-Offs Post-training reinforcement learning (RL) has replaced standard supervised fine-tuning (SFT) as the primary mechanism for frontier model alignment and reasoning expansion. Whether running classic Proximal Policy Optimization (PPO), Direct Preference Optimization (DPO), Group Relative Policy Optimization (GRPO), or Reinforcement Learning with V