Architectural Deep-Dive: vLLM Inference Engine: v0.32.1rc0

Eliminating Disk Thrashing in Online RL: vLLM's HTTP Weight-Transfer Protocol In high-throughput Reinforcement Learning (RL) pipelines for Large Language Models (such as PPO, GRPO, or multi-agent self-play reasoning loops), distributed infrastructure relies on two distinct computational pools: The Trainer Engine (e.g., PyTorch FSDP, Megatron-LM, DeepSpeed) executing forward-backward passes…