vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Concise Brief · Core Value & Positioning
Jargon-free breakdown of core value and deliverable form
High-throughput, memory-efficient LLM inference and serving engine that lets developers deploy models faster without building serving infrastructure.
AI & LLMs
AI Agent / LLM Engineering
Python
Milestone Forecast
Projected by recent velocity
Star history
Tracking 102 verified historical snapshots
Vitality Telemetry
Geek Clone & Cloud Code Inspector
1-click clone or inspect source code & AI architecture online
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Frequently Asked Questions about vllm
What is vllm-project/vllm (vllm) and what problem does it solve?
High-throughput, memory-efficient LLM inference and serving engine that lets developers deploy models faster without building serving infrastructure. Maintained by vllm-project and primarily written in Python, it is ranked in the AI & LLMs category on GitRank.
How fast is vllm growing on GitHub?
vllm-project/vllm currently has 95,947 stars and 24,209 forks on GitHub with a 97/100 engineering health score, verified by GitRank's 4-layer anti-spam filter.
What are the best open-source alternatives to vllm?
Top open-source alternatives and similar repositories to vllm in the AI & LLMs ecosystem include morluto/rea, Gathin23/cleanyourtv, debpalash/VoiceStudio, Zagitta/gpu-unlock. Compare their star velocity and tech stacks directly on GitRank.
How do I install or clone vllm?
You can clone the repository directly via `git clone https://github.com/vllm-project/vllm.git` and follow the official README instructions on GitHub.