Why vLLM Scales: Paging the KV-Cache for Faster LLM Inference

Published: 2026-01-27 vLLM is an LLM inference engine designed to improve GPU utilization. Its key mechanism is PagedAttention , which manages the KV-cache without the memory waste common in traditional LLM serving stacks. More efficient memory use supports larger batches and steadier latency under load. KV-cache fragmentation In traditional LLM serving systems, the KV-cache (the keys and values…