chore(recipes): update container image tags to 1.0.0 (#7375)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-14 10:30:27 -07:00 · 2026-03-14 10:30:27 -07:00 · 3718da8c68
parent cec19d4db6
commit 3718da8c68
22 changed files with 57 additions and 57 deletions
--- a/recipes/deepseek-r1/sglang/disagg-16gpu/deploy.yaml
+++ b/recipes/deepseek-r1/sglang/disagg-16gpu/deploy.yaml
@ -21,7 +21,7 @@ spec:
          mountPoint: /opt/model
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.0
    decode:
      componentType: worker
      subComponentType: decode
@ -38,7 +38,7 @@ spec:
        size: 80Gi
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.0
          workingDir: /sgl-workspace/dynamo
          command:
            - python3
@ -85,7 +85,7 @@ spec:
        size: 80Gi
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.0
          workingDir: /sgl-workspace/dynamo
          command:
            - python3
--- a/recipes/deepseek-r1/sglang/disagg-8gpu/deploy.yaml
+++ b/recipes/deepseek-r1/sglang/disagg-8gpu/deploy.yaml
@ -21,7 +21,7 @@ spec:
          mountPoint: /opt/model
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.0
    decode:
      componentType: worker
      subComponentType: decode
@ -36,7 +36,7 @@ spec:
        size: 80Gi
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.0
          workingDir: /workspace
          command:
            - python3
@ -80,7 +80,7 @@ spec:
        size: 80Gi
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.0
          workingDir: /workspace
          command:
            - python3
--- a/recipes/deepseek-r1/trtllm/disagg/wide_ep/gb200/deploy.yaml
+++ b/recipes/deepseek-r1/trtllm/disagg/wide_ep/gb200/deploy.yaml
@ -126,7 +126,7 @@ spec:
        tolerations: []
        affinity: {}
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          args:
          - |
            python3 -m dynamo.frontend --http-port 8000
@ -158,7 +158,7 @@ spec:
        tolerations: []
        affinity: {}
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          workingDir: /workspace/components/backends/trtllm
          # NOTE: If your PVCs (Persistent Volume Claims) are really slow,
          #       you might need to increase 'failureThreshold' below to allow more time for startup
@ -216,7 +216,7 @@ spec:
        tolerations: []
        affinity: {}
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          workingDir: /workspace/components/backends/trtllm
          # NOTE: If your PVCs (Persistent Volume Claims) are really slow,
          #       you might need to increase 'failureThreshold' below to allow more time for startup
--- a/recipes/deepseek-r1/vllm/disagg/deploy_hopper_16gpu.yaml
+++ b/recipes/deepseek-r1/vllm/disagg/deploy_hopper_16gpu.yaml
@ -26,7 +26,7 @@ spec:
            periodSeconds: 10
            timeoutSeconds: 1800
            failureThreshold: 60
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
    decode:
      componentType: worker
      subComponentType: decode
@ -52,7 +52,7 @@ spec:
            periodSeconds: 10
            timeoutSeconds: 10
            failureThreshold: 600
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/dynamo
          env:
            - name: VLLM_USE_DEEP_GEMM
@ -124,7 +124,7 @@ spec:
            periodSeconds: 10
            timeoutSeconds: 10
            failureThreshold: 600
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/dynamo
          env:
            - name: VLLM_USE_DEEP_GEMM
--- a/recipes/gpt-oss-120b/trtllm/agg/deploy.yaml
+++ b/recipes/gpt-oss-120b/trtllm/agg/deploy.yaml
@ -45,7 +45,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
      replicas: 1
    TrtllmWorker:
      componentType: worker
@ -79,7 +79,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
--- a/recipes/gpt-oss-120b/trtllm/disagg/deploy.yaml
+++ b/recipes/gpt-oss-120b/trtllm/disagg/deploy.yaml
@ -90,7 +90,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.7.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
      replicas: 1
    TrtllmPrefillWorker:
      componentType: main
@ -122,7 +122,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.7.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
@ -187,7 +187,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.7.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
--- a/recipes/kimi-k2.5/trtllm/agg/baseten/deploy.yaml
+++ b/recipes/kimi-k2.5/trtllm/agg/baseten/deploy.yaml
@ -51,7 +51,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
      replicas: 1
    TrtllmWorker:
      componentType: worker
@ -84,7 +84,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
--- a/recipes/kimi-k2.5/trtllm/agg/deploy.yaml
+++ b/recipes/kimi-k2.5/trtllm/agg/deploy.yaml
@ -51,7 +51,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
      replicas: 1
    TrtllmWorker:
      componentType: worker
@ -84,7 +84,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
--- a/recipes/kimi-k2.5/trtllm/agg/nvidia/deploy-kvbm.yaml
+++ b/recipes/kimi-k2.5/trtllm/agg/nvidia/deploy-kvbm.yaml
@ -55,7 +55,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
      replicas: 1
    TrtllmWorker:
      componentType: worker
@ -95,7 +95,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
--- a/recipes/kimi-k2.5/trtllm/agg/nvidia/deploy.yaml
+++ b/recipes/kimi-k2.5/trtllm/agg/nvidia/deploy.yaml
@ -51,7 +51,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
      replicas: 1
    TrtllmWorker:
      componentType: worker
@ -84,7 +84,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
--- a/recipes/kimi-k2.5/trtllm/agg/nvidia/patch/README.md
+++ b/recipes/kimi-k2.5/trtllm/agg/nvidia/patch/README.md
@ -16,7 +16,7 @@ For example:

 ```bash
 ./patch-container.sh nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag
-# produces image:    nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:my-tag-patched
+# produces image:    nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0-patched
 ```

 If `KimiK25ForConditionalGeneration` is already registered, the patch is skipped. The script is idempotent -- re-running it on an already-patched image is a no-op.
--- a/recipes/llama-3-70b/vllm/agg/deploy.yaml
+++ b/recipes/llama-3-70b/vllm/agg/deploy.yaml
@ -17,7 +17,7 @@ spec:
          mountPoint: /opt/models
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      envs:
        - name: HF_HOME
@ -45,7 +45,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      replicas: 1
      resources:
--- a/recipes/llama-3-70b/vllm/agg/gaie/deploy.yaml
+++ b/recipes/llama-3-70b/vllm/agg/gaie/deploy.yaml
@ -16,7 +16,7 @@ spec:
      replicas: 1
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/frontend:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/frontend:1.0.0
      eppConfig:
        # This config uses the same disagg-profile-handler as disaggregated deployments.
        # The handler's graceful degradation feature makes this possible:
@ -60,7 +60,7 @@ spec:
      sharedMemory:
        size: 20Gi
      frontendSidecar:
-        image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
+        image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
        args:
          - -m
          - dynamo.frontend
@ -83,7 +83,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      replicas: 1
      resources:
--- a/recipes/llama-3-70b/vllm/disagg-multi-node/deploy.yaml
+++ b/recipes/llama-3-70b/vllm/disagg-multi-node/deploy.yaml
@ -17,7 +17,7 @@ spec:
          mountPoint: /opt/models
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      envs:
        - name: HF_HOME
@ -46,7 +46,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      replicas: 1
      resources:
@ -77,7 +77,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      replicas: 1
      resources:
--- a/recipes/llama-3-70b/vllm/disagg-single-node/deploy.yaml
+++ b/recipes/llama-3-70b/vllm/disagg-single-node/deploy.yaml
@ -17,7 +17,7 @@ spec:
          mountPoint: /opt/models
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      envs:
        - name: HF_HOME
@ -58,7 +58,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      replicas: 2
      resources:
@ -101,7 +101,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      replicas: 1
      resources:
--- a/recipes/llama-3-70b/vllm/disagg-single-node/gaie/deploy.yaml
+++ b/recipes/llama-3-70b/vllm/disagg-single-node/gaie/deploy.yaml
@ -16,7 +16,7 @@ spec:
      replicas: 1
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/epp-image:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/epp-image:1.0.0
      eppConfig:
        config:
          plugins:
@ -68,7 +68,7 @@ spec:
      sharedMemory:
        size: 80Gi
      frontendSidecar:
-        image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
+        image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
        args:
          - -m
          - dynamo.frontend
@ -101,7 +101,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      replicas: 2
      resources:
@ -119,7 +119,7 @@ spec:
      sharedMemory:
        size: 80Gi
      frontendSidecar:
-        image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
+        image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
        args:
          - -m
          - dynamo.frontend
@ -152,7 +152,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace/examples/backends/vllm
      replicas: 1
      resources:
--- a/recipes/qwen3-235b-a22b-fp8/trtllm/agg/deploy.yaml
+++ b/recipes/qwen3-235b-a22b-fp8/trtllm/agg/deploy.yaml
@ -53,7 +53,7 @@ spec:
                    - qwen3-235b-a22b-agg-frontend
              topologyKey: kubernetes.io/hostname
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          args:
            - python3 -m dynamo.frontend --router-mode kv --http-port 8000
          command:
@ -94,7 +94,7 @@ spec:
              --max-num-tokens 8192 \
              --max-seq-len 8192 \
              --extra-engine-args "${ENGINE_ARGS}"
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          workingDir: /workspace/components/backends/trtllm
          volumeMounts:
            - name: agg-config
--- a/recipes/qwen3-235b-a22b-fp8/trtllm/disagg/deploy.yaml
+++ b/recipes/qwen3-235b-a22b-fp8/trtllm/disagg/deploy.yaml
@ -75,7 +75,7 @@ spec:
                    - qwen3-235b-a22b-disagg-frontend
              topologyKey: kubernetes.io/hostname
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          args:
            - python3 -m dynamo.frontend --router-mode kv --http-port 8000
          command:
@ -109,7 +109,7 @@ spec:
              value: /mnt/model-cache
            - name: ENGINE_ARGS
              value: /engine_configs/prefill.yaml
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          workingDir: /workspace/components/backends/trtllm
          command:
            - /bin/sh
@ -164,7 +164,7 @@ spec:
              value: /mnt/model-cache
            - name: ENGINE_ARGS
              value: /engine_configs/decode.yaml
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          workingDir: /workspace/components/backends/trtllm
          command:
            - /bin/sh
--- a/recipes/qwen3-32b-fp8/trtllm/agg/deploy.yaml
+++ b/recipes/qwen3-32b-fp8/trtllm/agg/deploy.yaml
@ -61,7 +61,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
      replicas: 1
    TrtllmWorker:
      componentType: worker
@ -94,7 +94,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
--- a/recipes/qwen3-32b-fp8/trtllm/disagg/deploy.yaml
+++ b/recipes/qwen3-32b-fp8/trtllm/disagg/deploy.yaml
@ -218,7 +218,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
      replicas: 1
    TrtllmPrefillWorker:
      componentType: worker
@ -253,7 +253,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
@ -313,7 +313,7 @@ spec:
          command:
          - /bin/sh
          - -c
-          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
          env:
          - name: TRTLLM_ENABLE_PDL
            value: "1"
--- a/recipes/qwen3-32b/vllm/agg-round-robin/deploy.yaml
+++ b/recipes/qwen3-32b/vllm/agg-round-robin/deploy.yaml
@ -18,7 +18,7 @@ spec:
          value: /home/dynamo/.cache/huggingface
      extraPodSpec:
        mainContainer:
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace
          command:
            - python3
@ -63,7 +63,7 @@ spec:
          - python3
          - -m
          - dynamo.vllm
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          env:
          - name: DYN_HEALTH_CHECK_ENABLED
            value: "false"
--- a/recipes/qwen3-32b/vllm/disagg-kv-router/deploy.yaml
+++ b/recipes/qwen3-32b/vllm/disagg-kv-router/deploy.yaml
@ -26,7 +26,7 @@ spec:
            - python
            - -m
            - dynamo.frontend
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace
      replicas: 1
      resources:
@ -64,7 +64,7 @@ spec:
          - python3
          - -m
          - dynamo.vllm
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          workingDir: /workspace
          env:
          - name: DYN_HEALTH_CHECK_ENABLED
@ -121,7 +121,7 @@ spec:
          - python3
          - -m
          - dynamo.vllm
-          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
+          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
          env:
          - name: DYN_HEALTH_CHECK_ENABLED
            value: "false"