vLLM

Judgement

What it is

Building block

What it does

A high-throughput LLM inference and serving engine with PagedAttention, continuous batching, quantisation and an OpenAI-compatible server, on NVIDIA, AMD, TPU and other hardware.

Adopt it when

You serve open-weight models to many users on your own GPUs and need throughput.

Watch out

Fast release cadence with frequent breaking changes, and tuning for specific GPUs takes expertise.

Ready for

Production-ready

Runs as

Self-hosted server and library

Built with

Python, PyTorch, CUDA and Rust

How established

Established: started 3 years ago, latest release v0.33.0rc3.

What the license allows

You can build it into a product you sell, as long as you keep its copyright notice.

Judged on 2026-11-03 from the project's README and GitHub data. The license and age lines are worked out directly.

Built from

Follow it down: vLLM → CPython → GCC → LLVM project → runs on a microchip

How compilers were built, back to punched paper tape

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