nvidia.com_v1alpha1_dynamocheckpoint.yaml 1.97 KB
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# SPDX-FileCopyrightText: Copyright (c) 2025-2026 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: DynamoCheckpoint
metadata:
  name: vllm-llama3-8b-tp1
spec:
  # Identity - determines the checkpoint hash
  identity:
    model: "meta-llama/Meta-Llama-3-8B-Instruct"
    backendFramework: "vllm"
    dynamoVersion: "0.6.0"
    tensorParallelSize: 1
    pipelineParallelSize: 1
    dtype: "bfloat16"
    maxModelLen: 8192
    extraParameters:
      enableChunkedPrefill: "true"

  # Job configuration for checkpoint creation
  job:
    activeDeadlineSeconds: 3600
    backoffLimit: 3
    ttlSecondsAfterFinished: 300
    podTemplateSpec:
      spec:
        containers:
          - name: checkpoint-worker
            image: nvcr.io/nvidia/ai-dynamo/dynamo-vllm:latest
            command: ["python", "-m", "vllm.entrypoints.openai.api_server"]
            args:
              - "--model"
              - "meta-llama/Meta-Llama-3-8B-Instruct"
              - "--tensor-parallel-size"
              - "1"
              - "--dtype"
              - "bfloat16"
              - "--max-model-len"
              - "8192"
            env:
              - name: HF_TOKEN
                valueFrom:
                  secretKeyRef:
                    name: hf-secret
                    key: token
            resources:
              limits:
                nvidia.com/gpu: 1
        restartPolicy: Never