[Docs] Add Modal to deployment frameworks (#11907)

Author: charlesfrye

docs/source/deployment/frameworks/bentoml.md

@@ -2,6 +2,6 @@
 
 # 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).

docs/source/deployment/frameworks/index.md

@@ -8,6 +8,7 @@ cerebrium
 dstack
 helm
 lws
+modal
 skypilot
 triton
 ```

docs/source/deployment/frameworks/modal.md

@@ -0,0 +1,7 @@
+(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).