88 lines
1.9 KiB
YAML
88 lines
1.9 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: NIMService
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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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env:
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- name: GPU_MEMORY_UTILIZATION
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value: "0.90"
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- name: NIM_MAX_NUM_SEQS
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value: "32"
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- name: NIM_MAX_NUM_BATCHED_TOKENS
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value: "16384"
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- name: ENABLE_AUTO_TOOL_CHOICE
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value: "true"
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- name: ENABLE_PREFIX_CACHING
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value: "true"
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- name: TRUNCATION_SIDE
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value: "left"
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- name: VLLM_LOGGING_LEVEL
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value: "INFO"
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- name: VLLM_ALLOW_LONG_MAX_MODEL_LEN
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value: "true"
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- name: NIM_MAX_MODEL_LEN
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value: "32768"
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- name: NIM_ENABLE_KV_CACHE_REUSE
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value: "true"
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image:
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repository: nvcr.io/nim/qwen/qwen3-32b-dgx-spark
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tag: "1.1.0-variant"
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pullPolicy: IfNotPresent
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pullSecrets:
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- ngc-secret
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authSecret: ngc-api-secret
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storage:
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nimCache:
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name: qwen3-32b-instruct
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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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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: qwen3-32b-instruct
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port: 8000
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