docs: update support matrix with links to ngc (#2524)

Signed-off-by: Harrison King Saturley-Hall <hsaturleyhal@nvidia.com>

docs/support_matrix.md

@@ -90,7 +90,12 @@ If you are using a **GPU**, the following GPU models and architectures are suppo
 - **Wheels**: Pre-built Python wheels are only available for **x86_64 Linux**.
    No wheels are available for other platforms at this time.
 
-- **Container Images**: We distribute only the source code for container images, **x86_64 Linux** and **ARM64** are supported for these.
-   Users must build the container image from source if they require it.
+- **Runtime Container Images**: We distribute only **AMD64** images of the runtime target on [NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/collections/ai-dynamo) for [TensorRT-LLM](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/tensorrtllm-runtime), [vLLM](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/vllm-runtime), and [SGLang](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/sglang-runtime).
+    Users must build the container image from source if they require an **ARM64** image.
+
+- **Deployment-supportive Images**: [NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/collections/ai-dynamo) hosts the [Dynamo kubernetes-operator](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/kubernetes-operator) to simplify deployments of Dynamo Graphs.
+    It is currently provided as an **AMD64** image only.
+
+- **Helm Charts**: [NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/collections/ai-dynamo) hosts the helm charts supporting Kubernetes deployments of Dynamo. [Dynamo CRDs](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/helm-charts/dynamo-crds), [Dynamo Platform](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/helm-charts/dynamo-platform), and [Dynamo Graph](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/helm-charts/dynamo-graph) are available.
 
 Once you've confirmed that your platform and architecture are compatible, you can install **Dynamo** by following the instructions in the [Quick Start Guide](https://github.com/ai-dynamo/dynamo/blob/main/README.md#installation).