Created
August 1, 2025 07:33
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VLLM example working docker compose with nginx
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version: '3.8' | |
services: | |
vllm: | |
image: vllm/vllm-openai:latest | |
container_name: deepseek-coder-vllm | |
restart: unless-stopped | |
expose: | |
- "8000" | |
volumes: | |
- /root/.cache/huggingface:/root/.cache/huggingface | |
environment: | |
- CUDA_VISIBLE_DEVICES=0 | |
- PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True | |
deploy: | |
resources: | |
reservations: | |
devices: | |
- driver: nvidia | |
count: 1 | |
capabilities: [gpu] | |
command: > | |
--model deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | |
--port 8000 | |
--host 0.0.0.0 | |
--trust-remote-code | |
--tensor-parallel-size 1 | |
--gpu-memory-utilization 0.85 | |
--max-model-len 16384 | |
--disable-log-requests | |
--enable-auto-tool-choice | |
--tool-call-parser hermes | |
healthcheck: | |
test: ["CMD", "curl", "-f", "http://localhost:8000/health"] | |
interval: 30s | |
timeout: 10s | |
retries: 3 | |
start_period: 300s | |
nginx: | |
image: nginx:alpine | |
container_name: deepseek-coder-nginx | |
restart: unless-stopped | |
ports: | |
- "80:80" | |
volumes: | |
- ./nginx.conf:/etc/nginx/nginx.conf:ro | |
depends_on: | |
vllm: | |
condition: service_healthy | |
healthcheck: | |
test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost/health"] | |
interval: 30s | |
timeout: 10s | |
retries: 3 |
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