175 lines
3.5 KiB
YAML
175 lines
3.5 KiB
YAML
apiVersion: apps.nvidia.com/v1alpha1
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kind: NIMCache
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metadata:
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name: qwen3-32b-instruct
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namespace: nim-service
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spec:
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source:
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ngc:
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modelPuller: nvcr.io/nim/qwen/qwen3-32b-dgx-spark:1.1.0-variant
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pullSecret: ngc-secret
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authSecret: ngc-api-secret
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model:
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engine: "vllm"
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tensorParallelism: "1"
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profiles:
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- c4f105d92c72ab56200884dfacde9d2128b139755c06b9c883eeb3e287b7408a
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storage:
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pvc:
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create: true
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size: "100Gi"
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volumeAccessMode: ReadWriteOnce
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---
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apiVersion: apps.nvidia.com/v1alpha1
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kind: NIMCache
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metadata:
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name: qwen36-27b-fp8
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namespace: nim-service
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spec:
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source:
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hf:
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endpoint: "https://huggingface.co"
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namespace: "Qwen"
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authSecret: hf-api-secret
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modelPuller: nvcr.io/nim/nvidia/llm-nim:1.12
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pullSecret: ngc-secret
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modelName: "Qwen3.6-27B-FP8"
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storage:
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pvc:
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create: true
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size: "50Gi"
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volumeAccessMode: ReadWriteOnce
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---
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apiVersion: apps.nvidia.com/v1alpha1
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kind: NIMService
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metadata:
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name: qwen36-27b-fp8
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namespace: nim-service
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spec:
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userID: 0
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groupID: 0
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image:
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repository: vllm/vllm-openai
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tag: v0.19.1-cu130
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pullPolicy: IfNotPresent
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env:
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- name: VLLM_CACHE_ROOT
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value: /model-store/vllm-cache
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command:
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- python3
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args:
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- -m
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- vllm.entrypoints.openai.api_server
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- --model
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- /model-store
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- --host
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- 0.0.0.0
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- --served-model-name
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- qwen36
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- --gpu-memory-utilization
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- "0.85"
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- --max-model-len
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- "256000"
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- --language-model-only
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- --reasoning-parser
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- qwen3
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- --enable-auto-tool-choice
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- --tool-call-parser
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- qwen3_coder
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- --enable-chunked-prefill
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- --max-num-batched-tokens
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- "32768"
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- --max-num-seqs
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- "10"
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- --enable-prefix-caching
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- --speculative-config
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- '{"method":"mtp","num_speculative_tokens":2}'
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authSecret: hf-api-secret
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storage:
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nimCache:
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name: qwen36-27b-fp8
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replicas: 1
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resources:
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limits:
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nvidia.com/gpu: 1
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livenessProbe:
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enabled: true
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probe:
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httpGet:
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path: /health
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port: 8000
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initialDelaySeconds: 120
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periodSeconds: 30
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timeoutSeconds: 10
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failureThreshold: 10
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readinessProbe:
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enabled: true
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probe:
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httpGet:
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path: /health
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port: 8000
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initialDelaySeconds: 30
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periodSeconds: 15
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timeoutSeconds: 10
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failureThreshold: 20
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startupProbe:
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enabled: true
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probe:
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httpGet:
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path: /health
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port: 8000
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initialDelaySeconds: 10
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periodSeconds: 20
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timeoutSeconds: 10
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failureThreshold: 60
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expose:
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service:
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type: ClusterIP
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port: 8000
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---
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apiVersion: gateway.networking.k8s.io/v1
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kind: HTTPRoute
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metadata:
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name: llm-route
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namespace: nim-service
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spec:
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parentRefs:
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- name: envoy-gateway
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namespace: default
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hostnames:
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- "mcp.corredorconect.com"
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rules:
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- matches:
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- path:
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type: PathPrefix
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value: /
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backendRefs:
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- name: qwen36-27b-fp8
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port: 8000
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timeouts:
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request: 600s
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backendRequest: 600s
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---
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apiVersion: gateway.envoyproxy.io/v1alpha1
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kind: SecurityPolicy
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metadata:
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name: llm-bearer-auth
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namespace: nim-service
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spec:
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targetRefs:
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- group: gateway.networking.k8s.io
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kind: HTTPRoute
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name: llm-route
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apiKeyAuth:
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credentialRefs:
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- group: ""
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kind: Secret
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name: mcp-bearer-token
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extractFrom:
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- headers:
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- authorization
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