feat: Dockerfile templating (#5633)

Signed-off-by: Dillon Cullinan <dcullinan@nvidia.com>

fern/pages/backends/vllm/README.md

@@ -74,7 +74,8 @@ docker compose -f deploy/docker-compose.yml up -d
 We have public images available on [NGC Catalog](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/collections/ai-dynamo/artifacts). If you'd like to build your own container from source:
 
 ```bash
-./container/build.sh --framework VLLM
+python container/render.py --framework vllm --short-output
+docker build -f container/rendered.Dockerfile -t dynamo:latest-vllm .
 ```
 
 ### Run container

lib/bindings/kvbm/README.md

@@ -42,8 +42,9 @@ See the [support matrix](../../../docs/reference/support-matrix.md) for version
 The pip wheel is built through a Docker build process:
 
 ```bash
-# Build the Docker image with KVBM enabled (from the dynamo repo root)
-./container/build.sh --framework none --enable-kvbm --tag local-kvbm
+# Render and build the Docker image with KVBM enabled (from the dynamo repo root)
+python container/render.py --framework=dynamo --target==runtime --short-output
+docker build --build-arg ENABLE_KVBM="true" -f container/rendered.Dockerfile .
 ```
 
 Once built, you can either:

lib/llm/src/preprocessor/media/README.md

@@ -50,7 +50,7 @@ register_llm(
 > **Requires GPU node**: The frontend must run on a node with GPU access. During media processing, decoded tensors are written to GPU memory via NIXL, which requires `libcuda.so.1` to be available. Running the frontend on a CPU-only node will fail with something like: `Failed to initialize required backends: [UCX: No UCX plugin found]`.
 
 > [!WARNING]
-> **Video decoding**: Video decoding needs to be enabled via the `dynamo-llm/media-ffmpeg` rust feature. The following ffmpeg dynamic libraries must be available on the system: `libavcodec`, `libavdevice`, `libavfilter`, `libavformat`, `libswresample`, `libswscale`. These are available in dynamo containers built with `container/build.sh --enable-media-ffmpeg ...`
+> **Video decoding**: Video decoding needs to be enabled via the `dynamo-llm/media-ffmpeg` rust feature. The following ffmpeg dynamic libraries must be available on the system: `libavcodec`, `libavdevice`, `libavfilter`, `libavformat`, `libswresample`, `libswscale`. These are available in dynamo dockerfiles rendered with `enable_media_ffmpeg` set to true in `container/context.yaml`.
 
 ## Image decoding options
 

tests/README.md

@@ -129,7 +129,8 @@ then this test will be included in the nightly run as well.
   ```
 - Run in container:
   ```bash
-  ./container/build.sh --framework <backend>
+  python container/render.py --framework=${FRAMEWORK} --target=runtime --short-output
+  docker build -t dynamo:${FRAMEWORK}-latest -f container/rendered.Dockerfile .
   ./container/run.sh --mount-workspace -it -- pytest
   ./container/run.sh --mount-workspace -it -- pytest -m [optional markers]
   ```