3 articles about vLLM
At IFA 2026, NVIDIA announces the Personal AI Router (PAIR), up to 1.9x faster local inference via llama.cpp and vLLM, simplified local agent setup in Hermes and OpenClaw, and RTX Spark Windows PCs arriving in October.
Hugging Face shows how asynchronous continuous batching, using CUDA streams, events, and double-buffered slots, lifted GPU utilization from 76 to 99.4 percent and cut generation time by 22 percent.
ServiceNow details how its PipelineRL team moved RL rollout generation from vLLM V0 to V1 by fixing four backend gaps — logprob semantics, runtime defaults, inflight weight updates, and an fp32 lm_head — before changing the objective.