vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
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README & documentation
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Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. vLLM is a fast and easy-to-use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open-source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: vLLM is flexible and easy to use…
Read the full README ↗ · Preview checked 2026-10-31T03:48:09.274Z
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What this repository does
A high-throughput and memory-efficient inference and serving engine for LLMs
Repository facts
- Owner
- vllm-project
- Primary language
- Python
- Stars
- 95,428
- Forks
- 23,925
- Open issues + pull requests
- 9,153
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2023-02-09T11:23:20.000Z
- Last push
- 2026-10-20T11:51:15.000Z
Topics and intended use
Owner-supplied topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt, gpt-oss, inference, kimi, llama, llm, llm-serving, model-serving, moe, openai, pytorch, qwen, qwen3, tpu, transformer
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Source and freshness
Source: GitHub. Metadata observed 2026-10-25T12:11:42.843Z. Daily imports are snapshots, not real-time monitoring.
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