refactor: move backend deploy, launch and slurm files from components to examples (#3849)

Signed-off-by: Anant Sharma <anants@nvidia.com>

examples/basics/kubernetes/Distributed_Inference/README.md

@@ -19,7 +19,7 @@ helm fetch https://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-platform-$
 helm install dynamo-platform dynamo-platform-${RELEASE_VERSION}.tgz --namespace ${NAMESPACE}
 ```
 3. Model hosting with vLLM backend
-This `agg_router.yaml` is adpated from vLLM deployment [example](https://github.com/ai-dynamo/dynamo/blob/main/components/backends/vllm/deploy/agg_router.yaml). It has following customizations
+This `agg_router.yaml` is adpated from vLLM deployment [example](https://github.com/ai-dynamo/dynamo/blob/main/examples/backends/vllm/deploy/agg_router.yaml). It has following customizations
 - Deployed `Qwen/Qwen2.5-1.5B-Instruct` model
 - Use KV cache based routing in frontend deployment via the `DYN_ROUTER_MODE=kv` environment variable
 - Mounted a local cache folder `/YOUR/LOCAL/CACHE/FOLDER` for model artifacts reuse

examples/basics/kubernetes/Distributed_Inference/agg_router.yaml

@@ -39,7 +39,7 @@ spec:
           volumeMounts:
           - name: local-model-cache
             mountPath: /root/.cache
-          workingDir: /workspace/components/backends/vllm
+          workingDir: /workspace/examples/backends/vllm
           command:
             - /bin/sh
             - -c

examples/basics/kubernetes/Distributed_Inference/disagg_router.yaml

@@ -36,7 +36,7 @@ spec:
             type: DirectoryOrCreate
         mainContainer:
           image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
-          workingDir: /workspace/components/backends/vllm
+          workingDir: /workspace/examples/backends/vllm
           volumeMounts:
           - name: local-model-cache
             mountPath: /root/.cache
@@ -64,7 +64,7 @@ spec:
             type: DirectoryOrCreate
         mainContainer:
           image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
-          workingDir: /workspace/components/backends/vllm
+          workingDir: /workspace/examples/backends/vllm
           volumeMounts:
           - name: local-model-cache
             mountPath: /root/.cache

examples/basics/kubernetes/shared_frontend/shared_frontend.yaml

@@ -46,7 +46,7 @@ spec:
       extraPodSpec:
         mainContainer:
           image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.5.0
-          workingDir: /workspace/components/backends/vllm
+          workingDir: /workspace/examples/backends/vllm
           command:
             - /bin/sh
             - -c

examples/basics/multinode/trtllm/srun_aggregated.sh

@@ -32,7 +32,7 @@ if [[ -z ${IMAGE} ]]; then
   echo "ERROR: You need to set the IMAGE environment variable to the " \
        "Dynamo+TRTLLM docker image or .sqsh file from 'enroot import' " \
        "See how to build one from source here: " \
-       "https://github.com/ai-dynamo/dynamo/tree/main/components/backends/trtllm#build-docker"
+       "https://github.com/ai-dynamo/dynamo/tree/main/docs/backends/trtllm/README.md#build-container"
   exit 1
 fi
 

examples/basics/multinode/trtllm/srun_disaggregated.sh

@@ -37,7 +37,7 @@ if [[ -z ${IMAGE} ]]; then
   echo "ERROR: You need to set the IMAGE environment variable to the " \
        "Dynamo+TRTLLM docker image or .sqsh file from 'enroot import' " \
        "See how to build one from source here: " \
-       "https://github.com/ai-dynamo/dynamo/tree/main/components/backends/trtllm#build-docker"
+       "https://github.com/ai-dynamo/dynamo/tree/main/docs/backends/trtllm/README.md#build-container"
   exit 1
 fi
 

examples/deployments/ECS/README.md

@@ -84,13 +84,13 @@ Please follow steps below to create this task
 |ETCD_ENDPOINTS|Value|http://IP_ADDRESS:2379|
 |NATS_SERVER|Value|nats://IP_ADDRESS:4222|
 - Docker configuration
-Add `sh,-c` in **Entry point** and `cd components/backends/vllm && python -m dynamo.frontend --router-mode kv & python3 -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager` in **Command**
+Add `sh,-c` in **Entry point** and `cd examples/backends/vllm && python -m dynamo.frontend --router-mode kv & python3 -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager` in **Command**
 
 2. Dynamo vLLM PrefillWorker Task
 Create the PrefillWorker task same as the frontend worker, except for following changes
 - Set container name as `dynamo-prefill`
 - No container port mapping
-- Docker configuration with command `cd components/backends/vllm && python3 -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager --is-prefill-worker`
+- Docker configuration with command `cd examples/backends/vllm && python3 -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager --is-prefill-worker`
 
 ## 5. Task Deployment
 You can create a service or directly run the task from the task definition

examples/deployments/ECS/task_definition_frontend.json

@@ -23,7 +23,7 @@
                 "-c"
             ],
             "command": [
-                "cd components/backends/vllm && python -m dynamo.frontend --router-mode kv & python3 -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager"
+                "cd examples/backends/vllm && python -m dynamo.frontend --router-mode kv & python3 -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager"
             ],
             "environment": [
                 {

examples/deployments/ECS/task_definition_prefillworker.json

@@ -15,7 +15,7 @@
                 "-c"
             ],
             "command": [
-                "cd components/backends/vllm && python3 -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager --is-prefill-worker"
+                "python3 -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager --is-prefill-worker"
             ],
             "environment": [
                 {

examples/deployments/EKS/Deploy_Dynamo_Cloud.md

@@ -86,7 +86,7 @@ helm install dynamo-platform ./platform/ \
 Your pods should be running like below
 
 ```
-ubuntu@ip-192-168-83-157:~/dynamo/components/backends/vllm/deploy$ kubectl get pods -A
+ubuntu@ip-192-168-83-157:~/dynamo/examples/backends/vllm/deploy$ kubectl get pods -A
 NAMESPACE      NAME                                                              READY   STATUS    RESTARTS   AGE
 dynamo-cloud   dynamo-platform-dynamo-operator-controller-manager-86795c5f4j4k   2/2     Running   0          4h17m
 dynamo-cloud   dynamo-platform-etcd-0                                            1/1     Running   0          4h17m

examples/deployments/EKS/Deploy_VLLM_example.md

@@ -3,7 +3,7 @@
 ## 1. Deploy Dynamo Graph
 
 ```
-cd dynamo/components/backends/vllm/deploy
+cd dynamo/examples/backends/vllm/deploy
 vim agg_router.yaml    #under metadata add namespace: dynamo-cloud and change image to your built base image
 kubectl apply -f agg_router.yaml
 ```
@@ -11,7 +11,7 @@ kubectl apply -f agg_router.yaml
 Your pods should be running like below
 
 ```
-ubuntu@ip-192-168-83-157:~/dynamo/components/backends/vllm/deploy$ kubectl get pods -A
+ubuntu@ip-192-168-83-157:~/dynamo/examples/backends/vllm/deploy$ kubectl get pods -A
 NAMESPACE      NAME                                                              READY   STATUS    RESTARTS   AGE
 dynamo-cloud   dynamo-platform-dynamo-operator-controller-manager-86795c5f4j4k   2/2     Running   0          4h17m
 dynamo-cloud   dynamo-platform-etcd-0                                            1/1     Running   0          4h17m

examples/deployments/GKE/sglang/disagg.yaml

@@ -25,7 +25,7 @@ spec:
       extraPodSpec:
         mainContainer:
           image: my-registry/sglang-runtime:my-tag
-          workingDir: /workspace/components/backends/sglang
+          workingDir: /workspace/examples/backends/sglang
           command:
             - /bin/sh
             - -c
@@ -48,7 +48,7 @@ spec:
       extraPodSpec:
         mainContainer:
           image: my-registry/sglang-runtime:my-tag
-          workingDir: /workspace/components/backends/sglang
+          workingDir: /workspace/examples/backends/sglang
           command:
             - /bin/sh
             - -c