Business · GitHub ·76,376 ★

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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Details

Author
vllm-project
Category
Business
Platform
GitHub
Framework
openai
Language
python
Stars
76,376
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@vllm-project@vllm_project

Overview

A high-throughput and memory-efficient inference and serving engine for LLMs

Quick start

git

git clone https://github.com/vllm-project/vllm

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What vllm can do

llminferencehr
  • Llm — llm task automation.
  • Inference — inference task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is vllm?
A high-throughput and memory-efficient inference and serving engine for LLMs
How do I install vllm?
Use git: `git clone https://github.com/vllm-project/vllm`. Full setup details on the source page linked above.
Is vllm open source?
vllm is published on GitHub.
What are alternatives to vllm?
Comparable agents include awesome-llm-apps, aider, LightRAG. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for vllm is sourced from GitHub, published by vllm-project.

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