disagg-multinode.yaml

# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
apiVersion: v1
kind: ConfigMap
metadata:
  name: nvidia-config
data:
  prefill.yaml: |
    # 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.
    tensor_parallel_size: 8
    moe_expert_parallel_size: 1
    enable_attention_dp: false
    max_num_tokens: 8192
    trust_remote_code: true
    backend: pytorch
    enable_chunked_prefill: true
    # Overlap scheduler not currently supported in prefill only workers.
    disable_overlap_scheduler: true
    kv_cache_config:
      free_gpu_memory_fraction: 0.80
    cache_transceiver_config:
      backend: DEFAULT

  decode.yaml: |
    # 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.
    tensor_parallel_size: 8
    moe_expert_parallel_size: 1
    enable_attention_dp: false
    max_num_tokens: 8192
    trust_remote_code: true
    backend: pytorch
    enable_chunked_prefill: true
    disable_overlap_scheduler: false
    kv_cache_config:
      free_gpu_memory_fraction: 0.80
    cache_transceiver_config:
      backend: DEFAULT
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: models
spec:
  accessModes:
    - ReadWriteMany
  resources:
    requests:
      storage: 100Gi
---
apiVersion: nvidia.com/v1alpha1
kind: DynamoGraphDeployment
metadata:
  name: trtllm-disagg-tp8
spec:
  backendFramework: trtllm
  pvcs:
    - name: models
  envs:
    - name: OMPI_ALLOW_RUN_AS_ROOT
      value: "1"
    - name: OMPI_ALLOW_RUN_AS_ROOT_CONFIRM
      value: "1"
    - name: HF_HOME
      value: "/models"
  services:
    Frontend:
      volumeMounts:
        - name: models
          mountPoint: /models
      dynamoNamespace: trtllm-disagg
      componentType: frontend
      replicas: 1
      extraPodSpec:
        mainContainer:
          image: my-registry/tensorrtllm-runtime:my-tag
          workingDir: /workspace/examples/backends/trtllm
          command:
          - python3
          - -m
          - dynamo.frontend
          args:
            - --http-port
            - "8000"
    prefill:
      volumeMounts:
        - name: models
          mountPoint: /models
      dynamoNamespace: trtllm-disagg
      envFromSecret: hf-token-secret
      componentType: worker
      replicas: 1
      multinode:
        nodeCount: 2
      resources:
        limits:
          gpu: "4"
      extraPodSpec:
        volumes:
          - name: nvidia-config
            configMap:
              name: nvidia-config
        mainContainer:
          volumeMounts:
            - name: nvidia-config
              mountPath: /workspace/
              readOnly: true
          image: my-registry/tensorrtllm-runtime:my-tag
          workingDir: /workspace/
          command:
          - python3
          - -m
          - dynamo.trtllm
          args:
            - --model-path
            - Qwen/Qwen3-0.6B
            - --served-model-name
            - Qwen/Qwen3-0.6B
            - --extra-engine-args
            - /workspace/prefill.yaml
            - --disaggregation-mode
            - prefill
    decode:
      volumeMounts:
        - name: models
          mountPoint: /models
      dynamoNamespace: trtllm-disagg
      envFromSecret: hf-token-secret
      componentType: worker
      replicas: 1
      multinode:
        nodeCount: 2
      resources:
        limits:
          gpu: "4"
      extraPodSpec:
        volumes:
          - name: nvidia-config
            configMap:
              name: nvidia-config
        mainContainer:
          volumeMounts:
            - name: nvidia-config
              mountPath: /workspace/
              readOnly: true
          image: my-registry/tensorrtllm-runtime:my-tag
          workingDir: /workspace/
          command:
          - python3
          - -m
          - dynamo.trtllm
          args:
            - --model-path
            - Qwen/Qwen3-0.6B
            - --served-model-name
            - Qwen/Qwen3-0.6B
            - --extra-engine-args
            - /workspace/decode.yaml
            - --disaggregation-mode
            - decode