# 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. Frontend: served_model_name: neuralmagic/DeepSeek-R1-Distill-Llama-70B-FP8-dynamic endpoint: dynamo.Processor.chat/completions port: 8000 Processor: model: neuralmagic/DeepSeek-R1-Distill-Llama-70B-FP8-dynamic block-size: 128 max-model-len: 3500 # Routing policy determines how remote workers are selected for processing # prefill requests # 1. random: randomly select workers for prefill requests # 2. round-robin: different prefill requests take similar time to complete so # selecting workers in round-robin maximizes the chance of # selecting the least busy worker for a request # 3. kv: finding prefill workers by KV cache is not beneficial when caching is # disabled on this setup router: round-robin Router: model-name: neuralmagic/DeepSeek-R1-Distill-Llama-70B-FP8-dynamic min-workers: 1 VllmWorker: model: neuralmagic/DeepSeek-R1-Distill-Llama-70B-FP8-dynamic kv-transfer-config: '{"kv_connector":"DynamoNixlConnector"}' block-size: 128 max-model-len: 3500 # Enable prefill at different workers. remote-prefill: true # Disable local prefill so only disaggregated prefill is used. conditional-disagg: false # TP size is doubled from single node setup tensor-parallel-size: 8 gpu-memory-utilization: 0.95 disable-log-requests: true router: round-robin ServiceArgs: workers: 1 resources: gpu: 8 PrefillWorker: model: neuralmagic/DeepSeek-R1-Distill-Llama-70B-FP8-dynamic kv-transfer-config: '{"kv_connector":"DynamoNixlConnector"}' block-size: 128 max-model-len: 3500 max-num-batched-tokens: 3500 tensor-parallel-size: 1 gpu-memory-utilization: 0.95 disable-log-requests: true ServiceArgs: # DP size is doubled from single node setup workers: 8 resources: gpu: 1 # Automatic prefix caching is disabled by default, since all requests are expected to be unique.