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[Docs] Add Modal to deployment frameworks #11907

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2 changes: 1 addition & 1 deletion docs/source/deployment/frameworks/bentoml.md
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# BentoML

[BentoML](https://github.com/bentoml/BentoML) allows you to deploy a large language model (LLM) server with vLLM as the backend, which exposes OpenAI-compatible endpoints. You can serve the model locally or containerize it as an OCI-complicant image and deploy it on Kubernetes.
[BentoML](https://github.com/bentoml/BentoML) allows you to deploy a large language model (LLM) server with vLLM as the backend, which exposes OpenAI-compatible endpoints. You can serve the model locally or containerize it as an OCI-compliant image and deploy it on Kubernetes.

For details, see the tutorial [vLLM inference in the BentoML documentation](https://docs.bentoml.com/en/latest/use-cases/large-language-models/vllm.html).
1 change: 1 addition & 0 deletions docs/source/deployment/frameworks/index.md
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dstack
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skypilot
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7 changes: 7 additions & 0 deletions docs/source/deployment/frameworks/modal.md
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(deployment-modal)=

# Modal

vLLM can be run on cloud GPUs with [Modal](https://modal.com), a serverless computing platform designed for fast auto-scaling.

For details on how to deploy vLLM on Modal, see [this tutorial in the Modal documentation](https://modal.com/docs/examples/vllm_inference).
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