disagg_planner.yaml 2.27 KB
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
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apiVersion: nvidia.com/v1alpha1
kind: DynamoGraphDeployment
metadata:
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  name: vllm-disagg-planner
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spec:
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  pvcs:
    - name: dynamo-pvc
      create: false # Must be pre-created before deployment and SLA profiler must have been run
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  services:
    Frontend:
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      dynamoNamespace: vllm-disagg-planner
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      componentType: frontend
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      replicas: 1
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      extraPodSpec:
        mainContainer:
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          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
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    Planner:
      dynamoNamespace: vllm-disagg-planner
      componentType: planner
      replicas: 1
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      volumeMounts:
        - name: dynamo-pvc
          mountPoint: /data
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      extraPodSpec:
        mainContainer:
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          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
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          workingDir: /workspace/components/src/dynamo/planner
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          command:
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          - python3
          - -m
          - planner_sla
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          args:
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            - --environment=kubernetes
            - --backend=vllm
            - --adjustment-interval=60
            - --profile-results-dir=/data/profiling_results
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    VllmDecodeWorker:
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      dynamoNamespace: vllm-disagg-planner
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      envFromSecret: hf-token-secret
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      componentType: worker
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      subComponentType: decode
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      replicas: 1
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      resources:
        limits:
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          gpu: "1"
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      extraPodSpec:
        mainContainer:
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          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
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          workingDir: /workspace/examples/backends/vllm
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          command:
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            - python3
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          args:
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            - -m
            - dynamo.vllm
            - --model
            - Qwen/Qwen3-0.6B
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    VllmPrefillWorker:
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      dynamoNamespace: vllm-disagg-planner
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      envFromSecret: hf-token-secret
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      componentType: worker
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      subComponentType: prefill
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      replicas: 1
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      resources:
        limits:
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          gpu: "1"
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      extraPodSpec:
        mainContainer:
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          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
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          workingDir: /workspace/examples/backends/vllm
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          command:
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            - python3
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          args:
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            - -m
            - dynamo.vllm
            - --model
            - Qwen/Qwen3-0.6B
            - --is-prefill-worker