vLLM
vLLM is a high-throughput and memory-efficient inference and serving engine for large language models (LLMs).
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Become a financial contributor.
Financial Contributions
Top financial contributors
Individuals
$100,000 USD since Jun 2024
$100,000 USD since Aug 2024
$10,000 USD since May 2024
$7,500 USD since Dec 2024
$540 USD since Mar 2025
$150 USD since May 2025
$100 USD since May 2024
$100 USD since Jun 2024
$100 USD since Jun 2024
$100 USD since Apr 2025
$30 USD since Feb 2025
$25 USD since Jul 2024
$20 USD since May 2024
$20 USD since Jul 2024
$20 USD since Sep 2024
Organizations
$100,000 USD since Jun 2024
$1,359.45 USD since Jul 2024
$300 USD since May 2025
$200 USD since Aug 2024
vLLM is all of us
Our contributors 27
Thank you for supporting vLLM.
Simon Mo
Woosuk Kwon
Zhuohan Li
Sequoia
$100,000 USD
Guest
$100,000 USD
SKYWORK AI
$100,000 USD
Dropbox Inc.
$10,000 USD
Kindroid
$7,500 USD
GitHub Sponsors
$1,359 USD
Aman Bhargava
$540 USD
Yotta Labs
$200 USD
Budget
Transparent and open finances.
$273,470.26 USD
$288,202.57 USD
$14,732.31 USD
$320,730.45 USD
