disagg_planner.yaml 4.85 KB
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

apiVersion: nvidia.com/v1alpha1
kind: DynamoGraphDeployment
metadata:
  name: sglang-disagg-planner
  annotations:
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    nvidia.com/enable-grove: "false" # temporarily disable grove because current k8s connector does not work with grove
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spec:
  envs:
    - name: DYNAMO_SERVICE_CONFIG
      value: '{"Prometheus":{"global":{"scrape_interval":"5s"},"scrape_configs":[{"job_name":"prometheus","static_configs":[{"targets":["localhost:9090"]}]},{"job_name":"frontend","static_configs":[{"targets":["sglang-disagg-planner-frontend:8000"]}]}]}}'
    - name: DYNAMO_NAMESPACE
      value: "dynamo"
  services:
    Frontend:
      dynamoNamespace: dynamo
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      componentType: frontend
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      replicas: 1
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidian/nim-llm-dev/sglang-runtime:hzhou-0811-1
    Planner:
      dynamoNamespace: dynamo
      envFromSecret: hf-token-secret
      componentType: planner
      replicas: 1
      livenessProbe:
        exec:
          command:
            - /bin/sh
            - -c
            - "exit 0"
        periodSeconds: 60
        timeoutSeconds: 30
        failureThreshold: 10
      readinessProbe:
        exec:
          command:
            - /bin/sh
            - -c
            - "exit 0"
        initialDelaySeconds: 60
        periodSeconds: 60
        timeoutSeconds: 30
        failureThreshold: 10
      pvc:
        create: false
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        name: dynamo-pvc # Must be pre-created before deployment and SLA profiler must have been run
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        mountPoint: /data/profiling_results
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      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidian/nim-llm-dev/sglang-runtime:hzhou-0811-1
          workingDir: /workspace/components/planner/src/dynamo/planner
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          command:
            - /bin/sh
            - -c
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          args:
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            - >-
              python3 -m planner_sla
              --environment=kubernetes
              --backend=sglang
              --adjustment-interval=60
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              --profile-results-dir=/data/profiling_results
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    Prometheus: # NOTE: this is set on Prometheus to ensure a service is created for the Prometheus component. This is a workaround and should be managed differently.
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      dynamoNamespace: dynamo
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      componentType: frontend
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      replicas: 1
      envs:
        - name: PYTHONPATH
          value: "/workspace/components/planner/src"
      livenessProbe:
        exec:
          command:
            - /bin/sh
            - -c
            - "exit 0"
        periodSeconds: 60
        timeoutSeconds: 30
        failureThreshold: 10
      readinessProbe:
        exec:
          command:
            - /bin/sh
            - -c
            - "exit 0"
        initialDelaySeconds: 30
        periodSeconds: 60
        timeoutSeconds: 30
        failureThreshold: 10
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidian/nim-llm-dev/sglang-runtime:hzhou-0811-1
          workingDir: /workspace/components/backends/sglang
          command:
            - /bin/sh
            - -c
          args:
            - "python3 -m dynamo.planner.prometheus"
    SGLangDecodeWorker:
      dynamoNamespace: dynamo
      envFromSecret: hf-token-secret
      componentType: worker
      replicas: 2
      resources:
        limits:
          gpu: "1"
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidian/nim-llm-dev/sglang-runtime:hzhou-0811-1
          workingDir: /workspace/components/backends/sglang
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          command:
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            - python3
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          args:
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            - -m
            - dynamo.sglang
            - --model-path
            - Qwen/Qwen3-0.6B
            - --served-model-name
            - Qwen/Qwen3-0.6B
            - --page-size
            - "16"
            - --tp
            - "1"
            - --trust-remote-code
            - --skip-tokenizer-init
            - --disaggregation-mode
            - decode
            - --disaggregation-transfer-backend
            - nixl
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    SGLangPrefillWorker:
      dynamoNamespace: dynamo
      envFromSecret: hf-token-secret
      componentType: worker
      replicas: 2
      resources:
        limits:
          gpu: "1"
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidian/nim-llm-dev/sglang-runtime:hzhou-0811-1
          workingDir: /workspace/components/backends/sglang
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          command:
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            - python3
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          args:
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            - -m
            - dynamo.sglang
            - --model-path
            - Qwen/Qwen3-0.6B
            - --served-model-name
            - Qwen/Qwen3-0.6B
            - --page-size
            - "16"
            - --tp
            - "1"
            - --trust-remote-code
            - --skip-tokenizer-init
            - --disaggregation-mode
            - prefill
            - --disaggregation-transfer-backend
            - nixl