作者： Jakub Rusinowski · 最后更新： 2026年7月10日
vLLM's V1 engine is now the default, its server speaks the OpenAI and Anthropic APIs out of the box, and independent 2026 benchmarks put it 2–29× ahead of Ollama under concurrent load. Here's what changed this year, how it works in plain terms, and exactly when it's the right tool — and when Ollama or LM Studio still win.
For most people running AI on their own hardware, the default answer is Ollama or LM Studio — download an installer, pull a model, start chatting. That advice hasn't changed, and for a single user it's still the right call. But there's a second engine that comes up the moment you stop chatting by yourself and start serving a model to an app, a team, or a batch pipeline: vLLM. In 2026 it's had a genuinely busy year — a re-architected engine became the default, its API surface grew well beyond OpenAI compatibility, and a fresh round of independent benchmarks put hard numbers on just how far ahea…