#!/bin/bash -e # 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. # LIMITATIONS: # - Must have at least 2 GPUs since CUDA_VISIBLE_DEVICES is hard-coded to 0 and 1 # - Must use a single node if [ $# -gt 2 ]; then echo "Usage: $0 [model_name] [endpoint_name]" echo "Optional: model_name (default: deepseek-ai/DeepSeek-R1-Distill-Llama-8B)" echo "Optional: endpoint_name (default: dynamo.vllm.generate)" exit 1 fi MODEL_NAME=${1:-"deepseek-ai/DeepSeek-R1-Distill-Llama-8B"} ENDPOINT_NAME=${2:-"dynamo.vllm.generate"} SESSION_NAME="vllm_disagg" WORKDIR="$(dirname $0)/.." INIT_CMD="cd $WORKDIR" ######################################################## # TMUX SESSION SETUP ######################################################## # Start new session tmux new-session -d -s "$SESSION_NAME" # Split into 4 equal panes tmux split-window -h tmux split-window -v tmux select-pane -t 0 tmux split-window -v ######################################################## # HTTP Server ######################################################## HTTP_HOST="localhost" HTTP_PORT=8080 HTTP_CMD="DYN_LOG=DEBUG http --host ${HTTP_HOST} --port ${HTTP_PORT}" tmux select-pane -t 0 tmux send-keys "$INIT_CMD && $HTTP_CMD" C-m ######################################################## # LLMCTL ######################################################## LLMCTL_CMD="sleep 5 && llmctl http remove chat-model $MODEL_NAME && \ llmctl http add chat-model $MODEL_NAME $ENDPOINT_NAME && \ llmctl http list chat-model" tmux select-pane -t 1 tmux send-keys "$INIT_CMD && $LLMCTL_CMD" C-m CURL_CMD="curl ${HTTP_HOST}:${HTTP_PORT}/v1/chat/completions \ -H \"Content-Type: application/json\" \ -d '{ \"model\": \"$MODEL_NAME\", \"messages\": [ {\"role\": \"user\", \"content\": \"What is the capital of France?\"} ], \"stream\": true, \"max_tokens\": 10 }'" # Prepare a curl command for a quick test, but don't execute it since the server # needs to spin up first. tmux send-keys "$CURL_CMD" ######################################################## # Processor ######################################################## # skip ######################################################## # Router ######################################################## # skip ######################################################## # Prefill ######################################################## PREFILL_CMD="VLLM_WORKER_MULTIPROC_METHOD=spawn CUDA_VISIBLE_DEVICES=0 \ python3 -m disaggregated.prefill_worker \ --model $MODEL_NAME \ --gpu-memory-utilization 0.8 \ --enforce-eager \ --max-model-len 1000 \ --tensor-parallel-size 1 \ --kv-transfer-config \ '{\"kv_connector\":\"DynamoNcclConnector\",\"kv_role\":\"kv_producer\",\"kv_rank\":0,\"kv_parallel_size\":2}'" tmux select-pane -t 2 tmux send-keys "$INIT_CMD && $PREFILL_CMD" C-m ######################################################## # Decode ######################################################## DECODE_CMD="VLLM_WORKER_MULTIPROC_METHOD=spawn CUDA_VISIBLE_DEVICES=1 \ python3 -m disaggregated.decode_worker \ --model $MODEL_NAME \ --gpu-memory-utilization 0.8 \ --enforce-eager \ --max-model-len 1000 \ --tensor-parallel-size 1 \ --kv-transfer-config \ '{\"kv_connector\":\"DynamoNcclConnector\",\"kv_role\":\"kv_consumer\",\"kv_rank\":1,\"kv_parallel_size\":2}'" tmux select-pane -t 3 tmux send-keys "$INIT_CMD && $DECODE_CMD" C-m tmux attach-session -t "$SESSION_NAME"