diff --git a/distributions/meta-reference-gpu/README.md b/distributions/meta-reference-gpu/README.md
new file mode 100644
index 0000000000..951120da58
--- /dev/null
+++ b/distributions/meta-reference-gpu/README.md
@@ -0,0 +1,33 @@
+# Meta Reference Distribution
+
+The `llamastack/distribution-meta-reference-gpu` distribution consists of the following provider configurations.
+
+
+| **API**         	| **Inference** 	| **Agents**     	| **Memory**                                       	| **Safety**     	| **Telemetry**  	|
+|-----------------	|---------------	|----------------	|--------------------------------------------------	|----------------	|----------------	|
+| **Provider(s)** 	| meta-reference  	| meta-reference 	| meta-reference, remote::pgvector, remote::chroma 	| meta-reference 	| meta-reference 	|
+
+
+### Start the Distribution (Single Node GPU)
+
+> [!NOTE]
+> This assumes you have access to GPU to start a TGI server with access to your GPU.
+
+> [!NOTE]
+> For GPU inference, you need to set these environment variables for specifying local directory containing your model checkpoints, and enable GPU inference to start running docker container.
+```
+export LLAMA_CHECKPOINT_DIR=~/.llama
+```
+
+> [!NOTE]
+> `~/.llama` should be the path containing downloaded weights of Llama models.
+
+
+To download and start running a pre-built docker container, you may use the following commands:
+
+```
+docker run -it -p 5000:5000 -v ~/.llama:/root/.llama --gpus=all llamastack/llamastack-local-gpu
+```
+
+### Alternative (Build and start distribution locally via conda)
+- You may checkout the [Getting Started](../../docs/getting_started.md) for more details on starting up a meta-reference distribution.
diff --git a/docs/getting_started.md b/docs/getting_started.md
index 599331e8bc..e3db908a74 100644
--- a/docs/getting_started.md
+++ b/docs/getting_started.md
@@ -49,7 +49,7 @@ docker run -it -p 5000:5000 -v ~/.llama:/root/.llama --gpus=all llamastack/llama
 ```
 
 > [!TIP]
-> Pro Tip: We may use `docker compose up` for starting up a distribution with remote providers (e.g. TGI) using [llamastack-local-cpu](https://hub.docker.com/repository/docker/llamastack/llamastack-local-cpu/general). You can checkout [these scripts](../llama_stack/distribution/docker/README.md) to help you get started.
+> Pro Tip: We may use `docker compose up` for starting up a distribution with remote providers (e.g. TGI) using [llamastack-local-cpu](https://hub.docker.com/repository/docker/llamastack/llamastack-local-cpu/general). You can checkout [these scripts](../distributions/) to help you get started.
 
 #### Build->Configure->Run Llama Stack server via conda
 You may also build a LlamaStack distribution from scratch, configure it, and start running the distribution. This is useful for developing on LlamaStack.