#vLLM

3 articles about vLLM

NVIDIA Accelerates Local AI at IFA 2026 — RTX Spark PCs, PAIR Router, and 1.9x Faster Local Inference
AI Products Sep 3, 2026

NVIDIA Accelerates Local AI at IFA 2026 — RTX Spark PCs, PAIR Router, and 1.9x Faster Local Inference

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.

Unlocking Asynchronicity in Continuous Batching
AI Infrastructure May 14, 2026

Unlocking Asynchronicity in Continuous Batching

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.

vLLM V0 to V1: Correctness Before Corrections in RL
AI Research May 6, 2026

vLLM V0 to V1: Correctness Before Corrections in RL

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.