rockandpoimen
39f5fe3683
GPU rebalance (4× V100 32GB on worker-1): - reasoning: 2 GPU (unchanged, PP=2 for Qwen3-32B) - ornith: 2→1 GPU (scale to 1 replica, ornith:35b only) - comfyui: 0→1 GPU (new) - embeddings/reranker: 0 GPU (CPU, unchanged) qwen2.5:3b-instruct moved to CPU on talos-cp-2 (144GB RAM). Separate Ollama deployment + 5Gi PVC, pulls model on first start. Gateway config updated in homelab-frontend (separate commit). Co-authored-by: poimen <[email protected]>
116 lines
3.1 KiB
YAML
116 lines
3.1 KiB
YAML
# qwen2.5:3b-instruct on CPU (talos-cp-2, 144GB RAM, 24 cores).
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# Moved off GPU to free a V100 for ComfyUI. Latency ~10x slower
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# than GPU but sufficient for lightweight tasks (summarization,
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# classification, quick answers).
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: qwen-cpu
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namespace: llm-serving
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labels:
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app: qwen-cpu
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app.kubernetes.io/name: qwen-cpu
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app.kubernetes.io/part-of: llm-serving
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spec:
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replicas: 1
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strategy:
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type: Recreate
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selector:
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matchLabels:
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app: qwen-cpu
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template:
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metadata:
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labels:
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app: qwen-cpu
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app.kubernetes.io/name: qwen-cpu
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app.kubernetes.io/part-of: llm-serving
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spec:
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nodeSelector:
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kubernetes.io/hostname: talos-cp-2
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tolerations:
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- key: node-role.kubernetes.io/control-plane
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operator: Exists
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effect: NoSchedule
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containers:
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- name: ollama
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image: ollama/ollama:0.32.9@sha256:1685741456770df6e3cceb2a945a5f75e020f658d1701509668d6f4688f1dd3f
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command: ["/bin/sh", "-c"]
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args:
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- |
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ollama serve &
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SERVE_PID=$!
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until ollama list >/dev/null 2>&1; do sleep 2; done
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ollama pull qwen2.5:3b-instruct
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ollama run qwen2.5:3b-instruct "ok" >/dev/null 2>&1 || true
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wait $SERVE_PID
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env:
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- name: OLLAMA_HOST
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value: "0.0.0.0:8080"
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- name: OLLAMA_MODELS
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value: /root/.ollama/models
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- name: OLLAMA_CONTEXT_LENGTH
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value: "32768"
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- name: OLLAMA_KEEP_ALIVE
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value: "-1"
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- name: OLLAMA_MAX_LOADED_MODELS
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value: "1"
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- name: OLLAMA_NUM_PARALLEL
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value: "2"
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ports:
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- containerPort: 8080
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protocol: TCP
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readinessProbe:
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exec:
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command: ["/bin/sh", "-c", "ollama ps 2>/dev/null | grep -q qwen2.5"]
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periodSeconds: 10
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startupProbe:
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exec:
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command: ["/bin/sh", "-c", "ollama ps 2>/dev/null | grep -q qwen2.5"]
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failureThreshold: 60
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periodSeconds: 10
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resources:
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requests:
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cpu: "4"
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memory: 4Gi
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limits:
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cpu: "8"
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memory: 8Gi
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volumeMounts:
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- mountPath: /root/.ollama
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name: ollama-data
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volumes:
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- name: ollama-data
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persistentVolumeClaim:
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claimName: qwen-cpu-data
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: qwen-cpu
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namespace: llm-serving
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labels:
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app: qwen-cpu
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app.kubernetes.io/part-of: llm-serving
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spec:
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selector:
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app: qwen-cpu
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ports:
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- port: 80
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targetPort: 8080
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protocol: TCP
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---
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# Small PVC for qwen2.5:3b model weights (~1.9GB).
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# Separate from llm-models PVC which is pinned to worker-1.
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: qwen-cpu-data
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namespace: llm-serving
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spec:
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accessModes:
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- ReadWriteOnce
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storageClassName: longhorn
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resources:
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requests:
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storage: 5Gi
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