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docs/contributing/dockerfile/dockerfile.md

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+# Dockerfile
+
+We provide a [docker/Dockerfile](../../../docker/Dockerfile) to construct the image for running an OpenAI compatible server with vLLM.
+More information about deploying with Docker can be found [here](../../deployment/docker.md).
+
+Below is a visual representation of the multi-stage Dockerfile. The build graph contains the following nodes:
+
+- All build stages
+- The default build target (highlighted in grey)
+- External images (with dashed borders)
+
+The edges of the build graph represent:
+
+- `FROM ...` dependencies (with a solid line and a full arrow head)
+
+- `COPY --from=...` dependencies (with a dashed line and an empty arrow head)
+
+- `RUN --mount=(.\*)from=...` dependencies (with a dotted line and an empty diamond arrow head)
+
+  > <figure markdown="span">
+  >   ![](../../assets/contributing/dockerfile-stages-dependency.png){ align="center" alt="query" width="100%" }
+  > </figure>
+  >
+  > Made using: <https://github.com/patrickhoefler/dockerfilegraph>
+  >
+  > Commands to regenerate the build graph (make sure to run it **from the \`root\` directory of the vLLM repository** where the dockerfile is present):
+  >
+  > ```bash
+  > dockerfilegraph \
+  >   -o png \
+  >   --legend \
+  >   --dpi 200 \
+  >   --max-label-length 50 \
+  >   --filename docker/Dockerfile
+  > ```
+  >
+  > or in case you want to run it directly with the docker image:
+  >
+  > ```bash
+  > docker run \
+  >    --rm \
+  >    --user "$(id -u):$(id -g)" \
+  >    --workdir /workspace \
+  >    --volume "$(pwd)":/workspace \
+  >    ghcr.io/patrickhoefler/dockerfilegraph:alpine \
+  >    --output png \
+  >    --dpi 200 \
+  >    --max-label-length 50 \
+  >    --filename docker/Dockerfile \
+  >    --legend
+  > ```
+  >
+  > (To run it for a different file, you can pass in a different argument to the flag `--filename`.)