
vLLM shipped version 0.30.0 on September 22, 2026. If you use vLLM to serve models, that is the version to pin right now. On September 21, CVE-2026-94622 was published for versions through 0.29.0. In plain terms: on setups that split work with NIXL (prefill on one side, decode on another), bad or incomplete metadata can knock over the decode side until you restart it. That is a availability problem, not a reason to invent extra version numbers. The verified upgrade target is the GitHub release v0.30.0 (Docker image vllm/vllm-openai:v0.30.0). Do not wait on an unverified mid-patch name. If you do not run vLLM, this post is not for you. Do today: Check which vLLM version you are running. If it is 0.29.0 or older and you serve real traffic, upgrade to 0.30.0 and confirm the version before you send traffic back. https://github.com/vllm-project/vllm/releases/tag/v0.30.0
Post summary
vLLM 0.30.0 patches CVE-2026-94622 (versions ≤0.29.0); a metadata issue in NIXL-split prefill/decode setups can crash the decode side. The text directs users to upgrade to v0.30.0 as the verified fix.


