chore: update registry and tag for 0.7.0 (#4224)

Signed-off-by: Anant Sharma <[email protected]>

Author: nv-anants

Earthfile

@@ -134,7 +134,7 @@ dynamo-build:
 
 dynamo-base-docker:
     ARG IMAGE=dynamo-base-docker
-    ARG DOCKER_SERVER=my-registry
+    ARG DOCKER_SERVER=nvcr.io/nvidia/ai-dynamo
     ARG IMAGE_TAG=latest
 
     FROM ubuntu:24.04
@@ -175,7 +175,7 @@ all-test:
     BUILD ./deploy/cloud/operator+test
 
 all-docker:
-    ARG DOCKER_SERVER=my-registry
+    ARG DOCKER_SERVER=nvcr.io/nvidia/ai-dynamo
     ARG IMAGE_TAG=latest
     BUILD ./deploy/cloud/operator+docker --DOCKER_SERVER=$DOCKER_SERVER --IMAGE_TAG=$IMAGE_TAG
 
@@ -189,6 +189,6 @@ all:
 
 # For testing
 custom:
-    ARG DOCKER_SERVER=my-registry
+    ARG DOCKER_SERVER=nvcr.io/nvidia/ai-dynamo
     ARG IMAGE_TAG=latest
     BUILD +all-test

benchmarks/incluster/benchmark_job.yaml

@@ -17,7 +17,7 @@ spec:
       containers:
       - name: benchmark-runner
         # TODO: update to latest public image in next release
-        image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
+        image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.7.0
         securityContext:
           allowPrivilegeEscalation: false
           capabilities:

benchmarks/profiler/utils/config.py

@@ -98,7 +98,7 @@ class DgdPlannerServiceConfig(BaseModel):
     replicas: int = 1
     extraPodSpec: PodSpec = PodSpec(
         mainContainer=Container(
-            image="my-registry/dynamo-runtime:my-tag",  # placeholder
+            image="nvcr.io/nvidia/ai-dynamo/dynamo-runtime:0.7.0",  # placeholder
             workingDir=f"{get_workspace_dir()}/components/src/dynamo/planner",
             command=["python3", "-m", "planner_sla"],
             args=[],

deploy/cloud/operator/Earthfile

@@ -45,7 +45,7 @@ test:
     SAVE ARTIFACT cover.out
 
 docker:
-    ARG DOCKER_SERVER=my-registry
+    ARG DOCKER_SERVER=nvcr.io/nvidia/ai-dynamo
     ARG IMAGE_TAG=latest
     ARG IMAGE_SUFFIX=dynamo-operator
     FROM nvcr.io/nvidia/distroless/go:v3.1.13

deploy/cloud/operator/internal/secrets/docker_test.go

@@ -21,7 +21,7 @@ func TestDockerSecretIndexer_RefreshIndex(t *testing.T) {
 			},
 			Type: corev1.SecretTypeDockerConfigJson,
 			Data: map[string][]byte{
-				".dockerconfigjson": []byte(`{"auths":{"docker.io":{}, "my-registry.com:5005/registry1":{}}}`),
+				".dockerconfigjson": []byte(`{"auths":{"docker.io":{}, "nvcr.io/nvidia/ai-dynamo.com:5005/registry1":{}}}`),
 			},
 		},
 		{
@@ -31,7 +31,7 @@ func TestDockerSecretIndexer_RefreshIndex(t *testing.T) {
 			},
 			Type: corev1.SecretTypeDockerConfigJson,
 			Data: map[string][]byte{
-				".dockerconfigjson": []byte(`{"auths":{"my-registry.com:5005/registry2":{}}}`),
+				".dockerconfigjson": []byte(`{"auths":{"nvcr.io/nvidia/ai-dynamo.com:5005/registry2":{}}}`),
 			},
 		},
 		{
@@ -41,7 +41,7 @@ func TestDockerSecretIndexer_RefreshIndex(t *testing.T) {
 			},
 			Type: corev1.SecretTypeDockerConfigJson,
 			Data: map[string][]byte{
-				".dockerconfigjson": []byte(`{"auths":{"my-registry.com:5005/registry2":{}}}`),
+				".dockerconfigjson": []byte(`{"auths":{"nvcr.io/nvidia/ai-dynamo.com:5005/registry2":{}}}`),
 			},
 		},
 	}
@@ -68,7 +68,7 @@ func TestDockerSecretIndexer_RefreshIndex(t *testing.T) {
 		t.Errorf("DockerSecretIndexer.GetSecrets() = %v, want %v", secrets[0], "secret1")
 	}
 
-	secrets, err = i.GetSecrets("default", "my-registry.com:5005")
+	secrets, err = i.GetSecrets("default", "nvcr.io/nvidia/ai-dynamo.com:5005")
 	if err != nil {
 		t.Errorf("DockerSecretIndexer.GetSecrets() error = %v, wantErr %v", err, nil)
 	}
@@ -82,7 +82,7 @@ func TestDockerSecretIndexer_RefreshIndex(t *testing.T) {
 		t.Errorf("DockerSecretIndexer.GetSecrets() = %v, want %v", secrets[1], "secret2")
 	}
 
-	secrets, err = i.GetSecrets("another-namespace", "my-registry.com:5005")
+	secrets, err = i.GetSecrets("another-namespace", "nvcr.io/nvidia/ai-dynamo.com:5005")
 	if err != nil {
 		t.Errorf("DockerSecretIndexer.GetSecrets() error = %v, wantErr %v", err, nil)
 	}

deploy/cloud/pre-deployment/nixl/README.md

@@ -286,7 +286,7 @@ Interactive script that provides flexible build and deployment workflow:
 
 ### nixlbench-deployment.yaml
 Base Kubernetes deployment template that gets customized by the script:
-- **Template image**: `my-registry/nixlbench:version-arch`
+- **Template image**: `nvcr.io/nvidia/ai-dynamo/nixlbench:version-arch`
 - **Resource allocation**: 10 CPU, 5Gi memory, 1 GPU per pod
 - **ETCD integration**: Pre-configured environment variables
 - **Benchmark command**: Runs with VRAM segment configuration

deploy/cloud/pre-deployment/nixl/build_and_deploy.sh

@@ -160,7 +160,7 @@ validate_architecture() {
 # Function to prompt for registry
 prompt_for_registry() {
     echo
-    printf "Enter your Docker registry (e.g., my-registry, docker.io/username): "
+    printf "Enter your Docker registry (e.g., nvcr.io/nvidia/ai-dynamo, docker.io/username): "
     read REGISTRY
     if [ -z "$REGISTRY" ]; then
         echo "Error: Registry cannot be empty"
@@ -205,7 +205,7 @@ update_deployment() {
     cp "${SCRIPT_DIR}/nixlbench-deployment.yaml" "$deployment_file"
 
     # Update the image field using sed
-    sed -i "s|my-registry/nixlbench:version-arch|${registry}/nixlbench:${NIXL_VERSION}-${arch}|g" "$deployment_file"
+    sed -i "s|nvcr.io/nvidia/ai-dynamo/nixlbench:version-arch|${registry}/nixlbench:${NIXL_VERSION}-${arch}|g" "$deployment_file"
 
     echo "Deployment file updated with image: ${registry}/nixlbench:${NIXL_VERSION}-${arch}"
 }

deploy/cloud/pre-deployment/nixl/nixlbench-deployment.yaml

@@ -16,7 +16,7 @@ spec:
     spec:
       containers:
       - name: nixl-benchmark
-        image: "my-registry/nixlbench:version-arch"
+        image: "nvcr.io/nvidia/ai-dynamo/nixlbench:version-arch"
         command: ["sh", "-c"]
         env:
           - name: ETCD_ENDPOINTS

docs/_includes/install.rst

@@ -10,7 +10,7 @@ Install a pre-built wheel from PyPI.
    source venv/bin/activate
 
    # Install Dynamo from PyPI (choose one backend extra)
-   uv pip install "ai-dynamo[sglang]==my-tag"  # or [vllm], [trtllm]
+   uv pip install "ai-dynamo[sglang]==0.7.0"  # or [vllm], [trtllm]
 
 
 Pip from source
@@ -41,4 +41,4 @@ Pull and run prebuilt images from NVIDIA NGC (`nvcr.io`).
    docker run --rm -it \
      --gpus all \
      --network host \
-     nvcr.io/nvidia/ai-dynamo/sglang-runtime:my-tag  # or vllm, tensorrtllm
+     nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.7.0  # or vllm, tensorrtllm

docs/backends/trtllm/gpt-oss.md

@@ -49,7 +49,7 @@ huggingface-cli download openai/gpt-oss-120b --exclude "original/*" --exclude "m
 
 Set the container image:
 ```bash
-export DYNAMO_CONTAINER_IMAGE=nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
+export DYNAMO_CONTAINER_IMAGE=nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.7.0
 ```
 
 Launch the Dynamo TensorRT-LLM container with the necessary configurations: