---
format: "aidr-story-markdown/v1"
id: "cb66a04a820c6c02615733a9aed92891a2fe98f0458bbf566d01cbf82af7fa1b"
canonical_url: "https://aidr.today/cb66a04a?lang=en"
title: "Watermarking in vLLM"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-09-24T18:43:39.000Z"
category: "Infra"
topics: ["vllm","watermarking","inference","open-source"]
source_urls: ["https://vllm.ai/blog/2026-09-24-watermarking-in-vllm","https://lobste.rs/s/bjy3mv/watermarking_vllm"]
summary: "How vLLM implements distribution-preserving Gumbel-max text watermarking with efficient GPU kernels, statistical detection, speculative decoding, and repeated-c"
---

# Watermarking in vLLM

> [Open the canonical story](<https://aidr.today/cb66a04a?lang=en>)

**Published:** 2026-09-24T18:43:39.000Z
**Category:** Infra
**Topics:** vllm, watermarking, inference, open\-source

## Summary

How vLLM implements distribution\-preserving Gumbel\-max text watermarking with efficient GPU kernels, statistical detection, speculative decoding, and repeated\-c

## Sources

- [Story source](<https://vllm.ai/blog/2026-09-24-watermarking-in-vllm>)
- [Discussion](<https://lobste.rs/s/bjy3mv/watermarking_vllm>)