#!/bin/bash # SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 set -e trap 'echo Cleaning up...; kill 0' EXIT MODEL="Qwen/Qwen3-0.6B" HTTP_PORT="${DYN_HTTP_PORT:-8000}" echo "==========================================" echo "Launching Aggregated Serving + FlexKV + KV Routing (2 GPUs)" echo "==========================================" echo "Model: $MODEL" echo "Frontend: http://localhost:$HTTP_PORT" echo "==========================================" echo "" echo "Example test command:" echo "" echo " curl http://localhost:${HTTP_PORT}/v1/chat/completions \\" echo " -H 'Content-Type: application/json' \\" echo " -d '{" echo " \"model\": \"${MODEL}\"," echo " \"messages\": [{\"role\": \"user\", \"content\": \"Explain why Roger Federer is considered one of the greatest tennis players of all time\"}]," echo " \"max_tokens\": 32" echo " }'" echo "" echo "==========================================" # Run frontend and KV router # dynamo.frontend accepts either --http-port flag or DYN_HTTP_PORT env var (defaults to 8000) python -m dynamo.frontend \ --router-mode kv \ --router-reset-states & # Run worker with FlexKV DYNAMO_USE_FLEXKV=1 \ FLEXKV_CPU_CACHE_GB=32 \ FLEXKV_SERVER_RECV_PORT="ipc:///tmp/flexkv_server_0" \ CUDA_VISIBLE_DEVICES=0 \ python -m dynamo.vllm \ --model $MODEL \ --kv-transfer-config '{"kv_connector":"FlexKVConnectorV1","kv_role":"kv_both"}' \ --gpu-memory-utilization 0.2 \ --kv-events-config '{"publisher":"zmq","topic":"kv-events","endpoint":"tcp://*:20080","enable_kv_cache_events":true}' & DYNAMO_USE_FLEXKV=1 \ FLEXKV_CPU_CACHE_GB=32 \ FLEXKV_SERVER_RECV_PORT="ipc:///tmp/flexkv_server_1" \ CUDA_VISIBLE_DEVICES=1 \ python -m dynamo.vllm \ --model $MODEL \ --kv-transfer-config '{"kv_connector":"FlexKVConnectorV1","kv_role":"kv_both"}' \ --gpu-memory-utilization 0.2 \ --kv-events-config '{"publisher":"zmq","topic":"kv-events","endpoint":"tcp://*:20081","enable_kv_cache_events":true}'