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[Doc]: fixing typos in various files (#30540)

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Signed-off-by: Didier Durand <durand.didier@gmail.com>
Signed-off-by: Didier Durand <2927957+didier-durand@users.noreply.github.com>
Co-authored-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>
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Didier Durand
2025-12-14 11:14:37 +01:00
committed by GitHub
parent add1b9d3de
commit 1a55cfafcb
12 changed files with 17 additions and 17 deletions
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docs/deployment/integrations/production-stack.md
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@@ -4,7 +4,7 @@ Deploying vLLM on Kubernetes is a scalable and efficient way to serve machine le
* **Upstream vLLM compatibility** – It wraps around upstream vLLM without modifying its code.
* **Ease of use** – Simplified deployment via Helm charts and observability through Grafana dashboards.
* **High performance** – Optimized for LLM workloads with features like multi-model support, model-aware and prefix-aware routing, fast vLLM bootstrapping, and KV cache offloading with [LMCache](https://github.com/LMCache/LMCache), among others.
* **High performance** – Optimized for LLM workloads with features like multimodel support, model-aware and prefix-aware routing, fast vLLM bootstrapping, and KV cache offloading with [LMCache](https://github.com/LMCache/LMCache), among others.
If you are new to Kubernetes, don't worry: in the vLLM production stack [repo](https://github.com/vllm-project/production-stack), we provide a step-by-step [guide](https://github.com/vllm-project/production-stack/blob/main/tutorials/00-install-kubernetes-env.md) and a [short video](https://www.youtube.com/watch?v=EsTJbQtzj0g) to set up everything and get started in **4 minutes**!