[Docs] Convert rST to MyST (Markdown) (#11145)

Signed-off-by: Rafael Vasquez <rafvasq21@gmail.com>

docs/source/serving/deploying_with_bentoml.md

+(deploying-with-bentoml)=
+
+# Deploying with 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.
+
+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/serving/deploying_with_bentoml.rst

-.. _deploying_with_bentoml:
-
-Deploying with 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.
-
-For details, see the tutorial `vLLM inference in the BentoML documentation <https://docs.bentoml.com/en/latest/use-cases/large-language-models/vllm.html>`_.
\ No newline at end of file

docs/source/serving/deploying_with_kserve.md

+(deploying-with-kserve)=
+
+# Deploying with KServe
+
+vLLM can be deployed with [KServe](https://github.com/kserve/kserve) on Kubernetes for highly scalable distributed model serving.
+
+Please see [this guide](https://kserve.github.io/website/latest/modelserving/v1beta1/llm/huggingface/) for more details on using vLLM with KServe.