rock
8790de6038
## GPU Rebalance (4× V100 32GB) | Pod | Before | After | |-----|--------|-------| | reasoning (PP=2) | 2 GPU | 2 GPU | | ornith | 2 GPU (2 replicas) | 1 GPU (1 replica) | | comfyui | — | 1 GPU (**new**) | | qwen-cpu | — | CPU on cp-2 (**new**) | | embeddings/reranker | CPU | CPU | ## Changes - `ornith.yaml`: scale 2→1, remove qwen2.5 co-loading, MAX_LOADED_MODELS=1 - `qwen-cpu.yaml`: new Ollama deployment on talos-cp-2 (144GB RAM), 5Gi PVC - `k8s/apps/comfyui/`: new ComfyUI deployment (1 GPU, 50Gi model PVC, ingress) - `58-comfyui.yaml`: ArgoCD Application (wave 8) Gateway route update in separate PR (homelab-frontend).Reviewed-on: #17 Co-authored-by: rock <[email protected]>
100 lines
2.7 KiB
YAML
100 lines
2.7 KiB
YAML
apiVersion: serving.kserve.io/v1beta1
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kind: InferenceService
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metadata:
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annotations:
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serving.kserve.io/deploymentMode: RawDeployment
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# The konghq.com/{connect,read,write}-timeout annotations that used to live
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# here went with Kong (retired 2026-08-19). They existed because Kong read
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# its upstream timeouts off the Kubernetes Service, and its 60s default cut
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# off the first request after any pod restart — a restart flushes VRAM and
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# reloading ornith:35b takes longer than that. OLLAMA_KEEP_ALIVE=-1 hid the
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# problem in steady state.
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#
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# The equivalent budget now belongs to the Go gateway's per-route timeout
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# config in rock/homelab-frontend, not to an annotation on this object.
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labels:
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app.kubernetes.io/name: llm-ornith
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app.kubernetes.io/part-of: llm-serving
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name: ornith
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namespace: llm-serving
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spec:
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predictor:
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containers:
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- command:
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- /bin/sh
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- -c
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- 'set -e
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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 ornith:35b
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ollama run ornith:35b "ok" >/dev/null 2>&1 || true
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wait $SERVE_PID
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'
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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: /mnt/models/ollama
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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_NUM_PARALLEL
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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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image: ollama/ollama:0.32.9@sha256:1685741456770df6e3cceb2a945a5f75e020f658d1701509668d6f4688f1dd3f
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name: kserve-container
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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:
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- /bin/sh
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- -c
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- ollama ps 2>/dev/null | grep -q ornith
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periodSeconds: 10
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resources:
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limits:
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cpu: '16'
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memory: 16Gi
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nvidia.com/gpu: '1'
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requests:
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cpu: '8'
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memory: 8Gi
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nvidia.com/gpu: '1'
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startupProbe:
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exec:
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command:
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- /bin/sh
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- -c
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- ollama ps 2>/dev/null | grep -q ornith
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failureThreshold: 120
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periodSeconds: 15
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volumeMounts:
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- mountPath: /mnt/models
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name: models
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deploymentStrategy:
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type: Recreate
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# 1 replica -- ornith:35b only. qwen2.5:3b moved to CPU on cp-2.
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# Frees 1 GPU for ComfyUI.
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maxReplicas: 1
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minReplicas: 1
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nodeSelector:
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kubernetes.io/hostname: worker-1
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runtimeClassName: nvidia
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volumes:
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- name: models
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persistentVolumeClaim:
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claimName: llm-models
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