Files
homelab/k8s/apps/llm-serving/grm.yaml
T
Story Crater Bot 50d00ae350 feat(llm-serving): retire verifier-predictor, add grm (qwen2.5:3b)
Frees verifier's GPU from an underused vLLM PRM deployment. qwen2.5:3b-instruct moves off ornith-predictor's shared pod onto its own dedicated GPU (grm.yaml), so verification/judge traffic stops contending with ornith:35b's agent traffic. /v1/qwen/chat/completions now points at grm-predictor; path unchanged.
2026-08-18 18:18:31 -07:00

97 lines
2.5 KiB
YAML

apiVersion: serving.kserve.io/v1beta1
kind: InferenceService
metadata:
annotations:
serving.kserve.io/deploymentMode: RawDeployment
# Same Kong-timeout rationale as ornith.yaml: these configure the Service
# KServe generates, not the Ingress, and matter once OLLAMA_KEEP_ALIVE=-1
# stops covering a cold load after a pod restart.
konghq.com/connect-timeout: "10000"
konghq.com/read-timeout: "3600000"
konghq.com/write-timeout: "3600000"
labels:
app.kubernetes.io/name: llm-grm
app.kubernetes.io/part-of: llm-serving
name: grm
namespace: llm-serving
spec:
predictor:
containers:
- command:
- /bin/sh
- -c
- 'set -e
ollama serve &
SERVE_PID=$!
until ollama list >/dev/null 2>&1; do sleep 2; done
ollama pull qwen2.5:3b-instruct
ollama run qwen2.5:3b-instruct "ok" >/dev/null 2>&1 || true
wait $SERVE_PID
'
env:
- name: OLLAMA_HOST
value: 0.0.0.0:8080
- name: OLLAMA_MODELS
value: /mnt/models/ollama
- name: OLLAMA_CONTEXT_LENGTH
value: '32768'
- name: OLLAMA_KEEP_ALIVE
value: '-1'
- name: OLLAMA_NUM_PARALLEL
value: '1'
# Room for a second verification/reward model alongside qwen2.5:3b
# without a redeploy -- matches ornith.yaml's pattern, one dedicated
# GPU now free for it instead of contending with ornith:35b's.
- name: OLLAMA_MAX_LOADED_MODELS
value: '2'
image: ollama/ollama:0.32.9@sha256:1685741456770df6e3cceb2a945a5f75e020f658d1701509668d6f4688f1dd3f
name: kserve-container
ports:
- containerPort: 8080
protocol: TCP
readinessProbe:
exec:
command:
- /bin/sh
- -c
- ollama ps 2>/dev/null | grep -q qwen2.5
periodSeconds: 10
resources:
limits:
cpu: '16'
memory: 16Gi
nvidia.com/gpu: '1'
requests:
cpu: '8'
memory: 8Gi
nvidia.com/gpu: '1'
startupProbe:
exec:
command:
- /bin/sh
- -c
- ollama ps 2>/dev/null | grep -q qwen2.5
failureThreshold: 120
periodSeconds: 15
volumeMounts:
- mountPath: /mnt/models
name: models
deploymentStrategy:
type: Recreate
maxReplicas: 1
minReplicas: 1
nodeSelector:
kubernetes.io/hostname: worker-1
runtimeClassName: nvidia
volumes:
- name: models
persistentVolumeClaim:
claimName: llm-models