# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
apiVersion: nvidia.com/v1alpha1
kind: DynamoGraphDeployment
metadata:
  name: agg-8xtp2
spec:
  pvcs:
  - create: false
    name: model-cache
  - create: false
    name: compilation-cache
  services:
    Frontend:
      componentType: frontend
      envs:
        - name: HF_HOME
          value: /home/dynamo/.cache/huggingface
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
          workingDir: /workspace
          command:
            - python3
            - -m
            - dynamo.frontend
          args:
            - --router-reset-states
      replicas: 1
      resources:
        requests:
          cpu: "8"
        limits:
          cpu: "8"
      subComponentType: null
    VllmDecodeWorker:
      componentType: worker
      envFromSecret: hf-token-secret
      volumeMounts:
      - name: model-cache
        mountPoint: /home/dynamo/.cache/huggingface
      - name: compilation-cache
        mountPoint: /home/dynamo/.cache/vllm
        useAsCompilationCache: true
      extraPodSpec:
        mainContainer:
          args:
          - --model
          - Qwen/Qwen3-32B
          - --tensor-parallel-size
          - '2'
          - --disable-log-requests
          - --gpu-memory-utilization
          - '0.90'
          - --async-scheduling
          - --block-size
          - '64'
          - --hf-overrides
          - '{"rope_scaling":{"rope_type":"yarn","factor":4.0,"original_max_position_embeddings":32768},"max_position_embeddings":131072}'
          - --max-model-len
          - '131072'
          command:
          - python3
          - -m
          - dynamo.vllm
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.0
          env:
          - name: DYN_HEALTH_CHECK_ENABLED
            value: "false"
          - name: HF_HOME
            value: /home/dynamo/.cache/huggingface
          workingDir: /workspace
      replicas: 8
      resources:
        limits:
          gpu: '2'
          custom:
            rdma/ib: "2"
        requests:
          gpu: '2'
      subComponentType: decode
