diff --git a/docs/source/serving/integrations.rst b/docs/source/serving/integrations.rst
index 7882e14f..f39997e0 100644
--- a/docs/source/serving/integrations.rst
+++ b/docs/source/serving/integrations.rst
@@ -13,3 +13,4 @@ Integrations
    deploying_with_dstack
    serving_with_langchain
    serving_with_llamaindex
+   serving_with_llamastack
diff --git a/docs/source/serving/serving_with_llamastack.rst b/docs/source/serving/serving_with_llamastack.rst
new file mode 100644
index 00000000..8ef96c4e
--- /dev/null
+++ b/docs/source/serving/serving_with_llamastack.rst
@@ -0,0 +1,42 @@
+.. _run_on_llamastack:
+
+Serving with Llama Stack
+============================
+
+vLLM is also available via `Llama Stack <https://github.com/meta-llama/llama-stack>`_ .
+
+To install Llama Stack, run
+
+.. code-block:: console
+
+    $ pip install llama-stack -q
+
+Inference using OpenAI Compatible API
+-------------------------------------
+
+Then start Llama Stack server pointing to your vLLM server with the following configuration:
+
+.. code-block:: yaml
+
+    inference:
+      - provider_id: vllm0
+        provider_type: remote::vllm
+        config:
+          url: http://127.0.0.1:8000
+
+Please refer to `this guide <https://github.com/meta-llama/llama-stack/blob/main/docs/source/getting_started/distributions/self_hosted_distro/remote_vllm.md>`_ for more details on this remote vLLM provider.
+
+Inference via Embedded vLLM
+---------------------------
+
+An `inline vLLM provider
+<https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/inline/inference/vllm>`_
+is also available. This is a sample of configuration using that method:
+
+.. code-block:: yaml
+
+    inference
+      - provider_type: vllm
+        config:
+          model: Llama3.1-8B-Instruct
+          tensor_parallel_size: 4