ai: isolate CPU batch inference on titan-23
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713cb8f80f
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66
services/ai-llm/batch-deployment.yaml
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66
services/ai-llm/batch-deployment.yaml
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# services/ai-llm/batch-deployment.yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: ollama-batch
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namespace: ai
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spec:
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replicas: 1
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revisionHistoryLimit: 2
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strategy:
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type: Recreate
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selector:
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matchLabels: {app: ollama-batch}
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template:
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metadata:
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labels: {app: ollama-batch}
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spec:
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automountServiceAccountToken: false
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nodeSelector:
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kubernetes.io/hostname: titan-23
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securityContext:
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seccompProfile: {type: RuntimeDefault}
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containers:
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- name: ollama
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image: ollama/ollama@sha256:0c0a83210471fb50226bcdc2d6611d20ab13ae87e024cc304c94a6a5765c5e65
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command: [/bin/bash, -ec]
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args:
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- |
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while ! test -f /models/.pilot-v1-ready; do sleep 5; done
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exec ollama serve
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env:
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- {name: OLLAMA_HOST, value: "0.0.0.0:11434"}
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- {name: OLLAMA_MODELS, value: /models}
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- {name: OLLAMA_NO_CLOUD, value: "1"}
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- {name: OLLAMA_CONTEXT_LENGTH, value: "32768"}
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- {name: OLLAMA_MAX_LOADED_MODELS, value: "1"}
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- {name: OLLAMA_NUM_PARALLEL, value: "1"}
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- {name: OLLAMA_MAX_QUEUE, value: "1"}
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- {name: OLLAMA_KEEP_ALIVE, value: "10m"}
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- {name: OLLAMA_LOAD_TIMEOUT, value: "10m"}
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- {name: OLLAMA_DEBUG, value: "false"}
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ports:
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- {name: http, containerPort: 11434}
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readinessProbe:
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httpGet: {path: /api/version, port: http}
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periodSeconds: 10
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timeoutSeconds: 3
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securityContext:
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allowPrivilegeEscalation: false
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readOnlyRootFilesystem: true
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capabilities: {drop: [ALL]}
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resources:
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requests: {cpu: "16", memory: 48Gi}
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limits: {cpu: "16", memory: 48Gi}
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volumeMounts:
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- {name: models, mountPath: /models, readOnly: true}
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- {name: tmp, mountPath: /tmp}
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- {name: identity, mountPath: /root/.ollama}
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volumes:
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- name: models
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persistentVolumeClaim:
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claimName: ollama-batch-titan23
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- name: tmp
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emptyDir: {sizeLimit: 1Gi}
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- name: identity
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emptyDir: {medium: Memory, sizeLimit: 1Mi}
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46
services/ai-llm/batch-networkpolicy.yaml
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46
services/ai-llm/batch-networkpolicy.yaml
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# services/ai-llm/batch-networkpolicy.yaml
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apiVersion: networking.k8s.io/v1
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kind: NetworkPolicy
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metadata:
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name: ollama-batch-offline
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namespace: ai
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spec:
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podSelector:
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matchLabels: {app: ollama-batch}
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policyTypes: [Ingress, Egress]
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egress: []
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ingress:
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- from:
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- namespaceSelector:
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matchLabels: {kubernetes.io/metadata.name: hermes}
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podSelector:
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matchLabels: {app: hermes-model-gate}
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ports:
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- {protocol: TCP, port: 11434}
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---
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apiVersion: networking.k8s.io/v1
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kind: NetworkPolicy
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metadata:
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name: ollama-batch-seed
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namespace: ai
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spec:
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podSelector:
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matchLabels: {app: ollama-batch-seed}
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policyTypes: [Ingress, Egress]
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ingress: []
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egress:
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- to:
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- namespaceSelector:
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matchLabels: {kubernetes.io/metadata.name: kube-system}
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podSelector:
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matchLabels: {k8s-app: kube-dns}
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ports:
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- {protocol: UDP, port: 53}
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- {protocol: TCP, port: 53}
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# This finite download job never receives inference traffic or source data.
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- to:
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- ipBlock:
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cidr: 0.0.0.0/0
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except: [10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16, 169.254.0.0/16]
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ports:
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- {protocol: TCP, port: 443}
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12
services/ai-llm/batch-pvc.yaml
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12
services/ai-llm/batch-pvc.yaml
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# services/ai-llm/batch-pvc.yaml
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: ollama-batch-titan23
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namespace: ai
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spec:
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accessModes: [ReadWriteOnce]
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storageClassName: local-path
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resources:
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requests:
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storage: 64Gi
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54
services/ai-llm/batch-seed-job.yaml
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54
services/ai-llm/batch-seed-job.yaml
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# services/ai-llm/batch-seed-job.yaml
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apiVersion: batch/v1
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kind: Job
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metadata:
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name: ollama-batch-seed-v1
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namespace: ai
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spec:
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backoffLimit: 2
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activeDeadlineSeconds: 7200
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template:
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metadata:
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labels:
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app: ollama-batch-seed
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spec:
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automountServiceAccountToken: false
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restartPolicy: Never
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nodeSelector:
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kubernetes.io/hostname: titan-23
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containers:
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- name: seed
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image: ollama/ollama@sha256:0c0a83210471fb50226bcdc2d6611d20ab13ae87e024cc304c94a6a5765c5e65
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env:
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- {name: OLLAMA_HOST, value: "127.0.0.1:11434"}
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- {name: OLLAMA_MODELS, value: /models}
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- {name: OLLAMA_NO_CLOUD, value: "1"}
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command: [/bin/bash, -ec]
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args:
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- |
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ollama serve >/tmp/ollama.log 2>&1 &
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server_pid=$!
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trap 'kill "$server_pid"; wait "$server_pid" || true' EXIT
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for attempt in $(seq 1 60); do
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ollama list >/dev/null 2>&1 && break
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sleep 1
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done
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ollama pull qwen3.5:9b >/tmp/pull.log 2>&1 || { tail -c 1000 /tmp/pull.log; exit 1; }
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ollama pull qwen3.6:27b >/tmp/pull.log 2>&1 || { tail -c 1000 /tmp/pull.log; exit 1; }
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cd /models/manifests/registry.ollama.ai/library
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sha256sum -c <<'PINS'
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6488c96fa5faab64bb65cbd30d4289e20e6130ef535a93ef9a49f42eda893ea7 qwen3.5/9b
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9d5803d493a991af27b9441c098aa56f2ed7bbd260877f075ec09b575c049bc3 qwen3.6/27b
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PINS
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# Runtime mounts this cache read-only, after registry digest checks.
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chmod -R a+rX /models
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touch /models/.pilot-v1-ready
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resources:
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requests: {cpu: 500m, memory: 512Mi}
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limits: {cpu: "2", memory: 2Gi}
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volumeMounts:
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- {name: models, mountPath: /models}
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volumes:
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- name: models
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persistentVolumeClaim:
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claimName: ollama-batch-titan23
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10
services/ai-llm/batch-service.yaml
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10
services/ai-llm/batch-service.yaml
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# services/ai-llm/batch-service.yaml
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apiVersion: v1
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kind: Service
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metadata:
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name: ollama-batch
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namespace: ai
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spec:
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selector: {app: ollama-batch}
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ports:
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- {name: http, port: 11434, targetPort: http}
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@ -5,5 +5,10 @@ namespace: ai
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resources:
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resources:
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- namespace.yaml
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- namespace.yaml
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- pvc.yaml
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- pvc.yaml
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- batch-pvc.yaml
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- deployment.yaml
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- deployment.yaml
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- batch-seed-job.yaml
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- batch-deployment.yaml
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- service.yaml
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- service.yaml
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- batch-service.yaml
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- batch-networkpolicy.yaml
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