64 lines
1.8 KiB
YAML
64 lines
1.8 KiB
YAML
---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: vllm-deployment
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namespace: multi-process
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: vllm-deployment
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template:
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metadata:
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labels:
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app: vllm-deployment
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spec:
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volumes:
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- name: dshm
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hostPath:
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path: /dev/shm
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type: Directory
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containers:
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- name: vllm
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volumeMounts:
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- name: dshm
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mountPath: /dev/shm
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image: lmcache/vllm-openai:latest-nightly
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command:
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- /bin/bash
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- -c
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- |
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vllm serve Qwen/Qwen3-14B \
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--host 0.0.0.0 \
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--port 8000 \
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--no-enable-prefix-caching \
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--max-model-len 32768 \
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--gpu-memory-utilization 0.85 \
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--tensor-parallel-size 4 \
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--kv-transfer-config "{\"kv_connector\":\"LMCacheMPConnector\", \"kv_role\":\"kv_both\", \"kv_connector_extra_config\": {\"lmcache.mp.host\": \"tcp://${HOST_IP}\", \"lmcache.mp.port\": 6555}}"
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env:
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- name: HOST_IP
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valueFrom:
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fieldRef:
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fieldPath: status.hostIP
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- name: PYTHONHASHSEED
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value: "0"
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- name: PROMETHEUS_MULTIPROC_DIR
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value: "/tmp"
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resources:
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limits:
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nvidia.com/gpu: "4"
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requests:
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nvidia.com/gpu: "4"
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startupProbe:
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failureThreshold: 60
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httpGet:
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path: /health
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port: 8000
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scheme: HTTP
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initialDelaySeconds: 30
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periodSeconds: 10
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successThreshold: 1
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timeoutSeconds: 1
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