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# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
# NOTE: There is no dedicated `mocker-runtime` image. The published
# `dynamo-planner` image includes the ai-dynamo wheel, ai-dynamo-runtime, and
# planner/profiler dependencies needed by `python3 -m dynamo.mocker`.
# Replace `my-tag` below with the Dynamo release tag you deploy.
apiVersion: nvidia.com/v1alpha1
kind: DynamoGraphDeployment
metadata:
name: mocker-disagg
spec:
services:
Frontend:
componentType: frontend
replicas: 1
extraPodSpec:
mainContainer:
image: nvcr.io/nvidia/ai-dynamo/dynamo-planner:my-tag
prefill:
envFromSecret: hf-token-secret
componentType: worker
subComponentType: prefill
replicas: 1
extraPodSpec:
mainContainer:
image: nvcr.io/nvidia/ai-dynamo/dynamo-planner:my-tag
workingDir: /workspace
command:
- python3
- -m
- dynamo.mocker
args:
- --model-path
- nvidia/Llama-3.1-8B-Instruct-FP8
- --model-name
- nvidia/Llama-3.1-8B-Instruct-FP8
- --speedup-ratio
- "1.0"
- --planner-profile-data
- /workspace/components/src/dynamo/planner/tests/data/profiling_results/H200_TP1P_TP1D
- --disaggregation-mode
- prefill
decode:
envFromSecret: hf-token-secret
componentType: worker
subComponentType: decode
replicas: 1
extraPodSpec:
mainContainer:
image: nvcr.io/nvidia/ai-dynamo/dynamo-planner:my-tag
workingDir: /workspace
command:
- python3
- -m
- dynamo.mocker
args:
- --model-path
- nvidia/Llama-3.1-8B-Instruct-FP8
- --model-name
- nvidia/Llama-3.1-8B-Instruct-FP8
- --speedup-ratio
- "1.0"
- --planner-profile-data
- /workspace/components/src/dynamo/planner/tests/data/profiling_results/H200_TP1P_TP1D
- --disaggregation-mode
- decode