A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 12, 16:00 UTC
Update KServe guide link in documentation (#29258)
Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
Yuan Tang committed
Nov 24, 2025 at 09:40 UTC
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docs/deployment/integrations/kserve.md
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vLLM can be deployed with [KServe](https://github.com/kserve/kserve) on Kubernetes for highly scalable distributed model serving.
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-Please see [this guide](https://kserve.github.io/website/latest/modelserving/v1beta1/llm/huggingface/) for more details on using vLLM with KServe.
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+Please see [this guide](https://kserve.github.io/website/docs/model-serving/generative-inference/overview) for more details on using vLLM with KServe.