[Doc] Fix typo in llm-d documentation link (#42397)

Signed-off-by: Florian Woerner <florian.woerner@onmyown.io>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>
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Florian Woerner
2026-05-12 04:26:46 -07:00
committed by GitHub
co-authored by Cyrus Leung
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vLLM can be deployed with [llm-d](https://github.com/llm-d/llm-d), a Kubernetes-native distributed inference serving stack providing well-lit paths for anyone to serve large generative AI models at scale. It helps achieve the fastest "time to state-of-the-art (SOTA) performance" for key OSS models across most hardware accelerators and infrastructure providers.
You can use vLLM with llm-d directly by following [this guide](https://llm-d.ai/docs/guide) or via [KServe's LLMInferenceService](https://kserve.github.io/website/docs/model-serving/generative-inference/llmisvc/llmisvc-overview).
You can use vLLM with llm-d directly by following [the official guides](https://llm-d.ai/docs/guides) or via [KServe's LLMInferenceService](https://kserve.github.io/website/docs/model-serving/generative-inference/llmisvc/llmisvc-overview).