disagg_planner.yaml 4.49 KB
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
apiVersion: nvidia.com/v1alpha1
kind: DynamoGraphDeployment
metadata:
  name: disagg-planner
spec:
  services:
    Frontend:
      dynamoNamespace: vllm-v0-disagg-planner
      componentType: main
      replicas: 1
      resources:
        requests:
          cpu: "2"
          memory: "4Gi"
        limits:
          cpu: "2"
          memory: "4Gi"
      extraPodSpec:
        mainContainer:
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          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.3.1
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          workingDir: /workspace/examples/vllm_v0
          args:
            - dynamo
            - serve
            - graphs.disagg_planner:Frontend
            - --system-app-port
            - "5000"
            - --enable-system-app
            - --use-default-health-checks
            - --service-name
            - Frontend

    VllmWorker:
      dynamoNamespace: vllm-v0-disagg-planner
      envFromSecret: hf-token-secret
      replicas: 1
      resources:
        requests:
          cpu: "20"
          memory: "40Gi"
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          gpu: "2"
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        limits:
          cpu: "20"
          memory: "40Gi"
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          gpu: "2"
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      extraPodSpec:
        mainContainer:
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          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.3.1
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          workingDir: /workspace/examples/vllm_v0
          args:
            - dynamo
            - serve
            - graphs.disagg_planner:VllmWorker
            - --system-app-port
            - "5000"
            - --enable-system-app
            - --use-default-health-checks
            - --service-name
            - VllmWorker
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            - -f
            - ./configs/disagg_planner.yaml
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    PrefillWorker:
      dynamoNamespace: vllm-v0-disagg-planner
      envFromSecret: hf-token-secret
      replicas: 1
      resources:
        requests:
          cpu: "20"
          memory: "40Gi"
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          gpu: "2"
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        limits:
          cpu: "20"
          memory: "40Gi"
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          gpu: "2"
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      extraPodSpec:
        mainContainer:
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          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.3.1
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          workingDir: /workspace/examples/vllm_v0
          args:
            - dynamo
            - serve
            - graphs.disagg_planner:PrefillWorker
            - --system-app-port
            - "5000"
            - --enable-system-app
            - --use-default-health-checks
            - --service-name
            - PrefillWorker
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            - -f
            - ./configs/disagg_planner.yaml
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    Planner:
      dynamoNamespace: vllm-v0-disagg-planner
      replicas: 1
      componentType: planner
      resources:
        requests:
          cpu: "2"
          memory: "2Gi"
        limits:
          cpu: "2"
          memory: "2Gi"
      extraPodSpec:
        mainContainer:
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          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.3.1
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          workingDir: /workspace/examples/vllm_v0
          args:
            - dynamo
            - serve
            - graphs.disagg_planner:Planner
            - --system-app-port
            - "5000"
            - --enable-system-app
            - --use-default-health-checks
            - --service-name
            - Planner
            - --Planner.environment=kubernetes
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            - -f
            - ./configs/disagg_planner.yaml
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    Prometheus:
      dynamoNamespace: vllm-v0-disagg-planner
      replicas: 1
      resources:
        requests:
          cpu: "1000m"
          memory: "1000Mi"
        limits:
          cpu: "1000m"
          memory: "1000Mi"
      extraPodSpec:
        mainContainer:
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          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.3.1
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          workingDir: /workspace/examples/vllm_v0
          args:
            - dynamo
            - serve
            - graphs.disagg_planner:Prometheus
            - --system-app-port
            - "5000"
            - --enable-system-app
            - --use-default-health-checks
            - --service-name
            - Prometheus
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            - -f
            - ./configs/disagg_planner.yaml