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vLLM Crosses 4,000 GitHub Contributors

2 reports 1 reporting sources first reported Updated 2 days ago

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vLLM said it has crossed 4,000 contributors on GitHub, expanding from a research project at UC Berkeley into a community building its open-source LLM inference engine. The project credited contributors for work on kernels, models and bug fixes.

Generated by AI from reports · Updated 2 days ago

Latest development11/11 15:10 (UTC+8)
🎉 vLLM just crossed 4,000 contributors on GitHub! From a research project at UC Berkeley to a community of 4,000 talent contributors building the leading open-source LLM inference engine together. Every kernel, every model, every bug fix — this milestone belongs to all of you. Thank you! ❤️vLLM · X

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11/11
  1. vLLM · X
    🎉 vLLM just crossed 4,000 contributors on GitHub! From a research project at UC Berkeley to a community of 4,000 talent contributors building the leading open-source LLM inference engine together. Every kernel, every model, every bug fix — this milestone belongs to all of you. Thank you! ❤️

    🎉 vLLM just crossed 4,000 contributors on GitHub! From a research project at UC Berkeley to a community of 4,000 talent contributors building the leading open-source LLM inference engine together. Every kernel, every model, every bug fix — this milestone belongs to all of you. Thank you! ❤️

  2. vLLM · X
    📷 vLLM just crossed 4,000 contributors on GitHub! From a research project at UC Berkeley to a community of 4,000 engineers building the fastest open-source LLM inference engine together. Every kernel, every model, every bug fix — this milestone belongs to all of you. Thank you! 📷 Easy, fast, and cheap LLM serving for everyone — and we're just getting started. 📷

    📷 vLLM just crossed 4,000 contributors on GitHub! From a research project at UC Berkeley to a community of 4,000 engineers building the fastest open-source LLM inference engine together. Every kernel, every model, every bug fix — this milestone belongs to all of you. Thank you! 📷 Easy, fast, and cheap LLM serving for everyone — and we're just getting started. 📷

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Event heat trend

Current within comparable coverage
3
Peak within comparable coverage
1011/11 15:00 (UTC+8)
24-hour change
-50%

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