chore: update tags for 0.8.1

Signed-off-by: pvijayakrish <pvijayakrish@nvidia.com>

Author: pvijayakrish

Earthfile

@@ -134,7 +134,7 @@ dynamo-build:
 
 dynamo-base-docker:
     ARG IMAGE=dynamo-base-docker
-    ARG DOCKER_SERVER=my-registry
+    ARG DOCKER_SERVER=
     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=
     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=
     ARG IMAGE_TAG=latest
     BUILD +all-test

benchmarks/data_generator/.coverage

@@ -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:0.8.1
         securityContext:
           allowPrivilegeEscalation: false
           capabilities:

benchmarks/incluster/benchmark_job.yaml

@@ -12,7 +12,7 @@ spec:
 
   # ProfilingConfig maps directly to the profile_sla.py config format
   profilingConfig:
-    profilerImage: "nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag"
+    profilerImage: "nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.1"
 
     # NOTE: any image built before January 10 and any release prior to 0.8.1
     # will need to use snake_case within profilingConfig.config
@@ -26,5 +26,5 @@ spec:
         ttft: 500.0
         itl: 30.0
   deploymentOverrides:
-    workersImage: "nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag"
+    workersImage: "nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.1"
   autoApply: true

benchmarks/profiler/deploy/profile_sla_aic_dgdr.yaml

@@ -12,7 +12,7 @@ spec:
 
   # ProfilingConfig maps directly to the profile_sla.py config format
   profilingConfig:
-    profilerImage: "nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag"
+    profilerImage: "nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.1"
 
     # NOTE: any image built before January 10 and any release prior to 0.8.1
     # will need to use snake_case within profilingConfig.config
@@ -25,5 +25,5 @@ spec:
         ttft: 200.0
         itl: 20.0
   deploymentOverrides:
-    workersImage: "nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag"
+    workersImage: "nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.1"
   autoApply: true

benchmarks/profiler/deploy/profile_sla_dgdr.yaml

@@ -13,7 +13,7 @@ spec:
 
   # ProfilingConfig maps directly to the profile_sla.py config format
   profilingConfig:
-    profilerImage: "nvcr.io/nvidia/ai-dynamo/sglang-runtime:my-tag"
+    profilerImage: "nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.1"
 
     # NOTE: any image built before January 10 and any release prior to 0.8.1
     # will need to use snake_case within profilingConfig.config
@@ -47,6 +47,6 @@ spec:
       key: tep16p-dep16d-disagg.yaml
 
   deploymentOverrides:
-    workersImage: "nvcr.io/nvidia/ai-dynamo/sglang-runtime:my-tag"
+    workersImage: "nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.1"
   autoApply: true
 

benchmarks/profiler/deploy/profile_sla_moe_dgdr.yaml

@@ -97,7 +97,7 @@ class DgdPlannerServiceConfig(BaseModel):
     replicas: int = 1
     extraPodSpec: PodSpec = PodSpec(
         mainContainer=Container(
-            image="my-registry/dynamo-runtime:my-tag",  # placeholder
+            image="/dynamo-runtime:0.8.1",  # placeholder
             workingDir=f"{get_workspace_dir()}/components/src/dynamo/planner",
             command=["python3", "-m", "dynamo.planner.planner_sla"],
             args=[],

benchmarks/profiler/utils/config.py

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

deploy/cloud/operator/Earthfile

@@ -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":{}, ".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":{".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":{".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", ".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", ".com:5005")
 	if err != nil {
 		t.Errorf("DockerSecretIndexer.GetSecrets() error = %v, wantErr %v", err, nil)
 	}

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

@@ -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**: `/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