[Runtime] DeepSeek v4 pro multi node runtimes #631
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,313 @@ | ||
| apiVersion: ome.io/v1beta1 | ||
| kind: ClusterServingRuntime | ||
| metadata: | ||
| name: vllm-deepseek-v4-pro-multi | ||
| spec: | ||
| disabled: false | ||
| routerConfig: | ||
| annotations: | ||
| prometheus.io/path: /metrics | ||
| prometheus.io/port: '29000' | ||
| prometheus.io/scrape: 'true' | ||
| labels: | ||
| logging-forward: enabled | ||
| runner: | ||
| name: router | ||
| image: docker.io/lightseekorg/smg:1.5.0 | ||
| ports: | ||
| - containerPort: 8080 | ||
| name: http | ||
| resources: | ||
| requests: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| limits: | ||
| cpu: "8" | ||
| memory: 16Gi | ||
| args: | ||
| - --host | ||
| - 0.0.0.0 | ||
| - --port | ||
| - "8080" | ||
| - --service-discovery | ||
| - --service-discovery-namespace | ||
| - $(NAMESPACE) | ||
| - --service-discovery-port | ||
| - "8080" | ||
| - --selector | ||
| - component=engine ome.io/inferenceservice=$(INFERENCESERVICE_NAME) | ||
| - --enable-igw | ||
| - --request-id-headers | ||
| - opc-request-id | ||
| - --log-json | ||
| - --disable-retries | ||
| - --disable-circuit-breaker | ||
| env: | ||
| - name: NAMESPACE | ||
| valueFrom: | ||
| fieldRef: | ||
| fieldPath: metadata.namespace | ||
| - name: INFERENCESERVICE_NAME | ||
| valueFrom: | ||
| fieldRef: | ||
| fieldPath: metadata.labels['ome.io/inferenceservice'] | ||
| readinessProbe: | ||
| httpGet: | ||
| path: /readiness | ||
| port: 8080 | ||
| failureThreshold: 5 | ||
| periodSeconds: 30 | ||
| timeoutSeconds: 10 | ||
| livenessProbe: | ||
| httpGet: | ||
| path: /liveness | ||
| port: 8080 | ||
| failureThreshold: 5 | ||
| periodSeconds: 30 | ||
| timeoutSeconds: 10 | ||
| startupProbe: | ||
| httpGet: | ||
| path: /health | ||
| port: 8080 | ||
| failureThreshold: 5 | ||
| periodSeconds: 20 | ||
| timeoutSeconds: 10 | ||
| initialDelaySeconds: 30 | ||
| supportedModelFormats: | ||
| - modelFramework: | ||
| name: transformers | ||
| version: "4.57.1" | ||
| modelFormat: | ||
| name: safetensors | ||
| version: "1.0.0" | ||
| modelArchitecture: DeepseekV4ForCausalLM | ||
| quantization: fp8 | ||
| autoSelect: true | ||
| priority: 1 | ||
| modelSizeRange: | ||
| min: 800B | ||
| max: 900B | ||
| protocolVersions: | ||
| - openAI | ||
| engineConfig: | ||
| annotations: | ||
| prometheus.io/scrape: "true" | ||
| prometheus.io/port: "8080" | ||
| prometheus.io/path: "/metrics" | ||
| rdma.ome.io/auto-inject: "true" | ||
| rdma.ome.io/profile: "oci-roce" | ||
| rdma.ome.io/container-name: "ome-container" | ||
| labels: | ||
| logging-forward: enabled | ||
| leader: | ||
| tolerations: | ||
| - key: "nvidia.com/gpu" | ||
| operator: "Exists" | ||
| effect: "NoSchedule" | ||
| affinity: | ||
| nodeAffinity: | ||
| requiredDuringSchedulingIgnoredDuringExecution: | ||
| nodeSelectorTerms: | ||
| - matchExpressions: | ||
| - key: node.kubernetes.io/instance-type | ||
| operator: In | ||
| values: | ||
| - BM.GPU.H100.8 | ||
| - BM.GPU.H100-NC.8 | ||
| dnsPolicy: ClusterFirstWithHostNet | ||
| hostNetwork: true | ||
| volumes: | ||
| - name: dshm | ||
| emptyDir: | ||
| medium: Memory | ||
| - name: devinf | ||
| hostPath: | ||
| path: /dev/infiniband | ||
| runner: | ||
| name: ome-container | ||
| image: docker.io/vllm/vllm-openai:v0.23.0-cu129 | ||
| ports: | ||
| - containerPort: 8080 | ||
| name: http1 | ||
| protocol: TCP | ||
| command: | ||
| - vllm | ||
| - serve | ||
| args: | ||
| - $(MODEL_PATH) | ||
| - --trust-remote-code | ||
| - --kv-cache-dtype=fp8 | ||
| - --block-size=256 | ||
| - --enable-expert-parallel | ||
| - --tensor-parallel-size=8 | ||
| - --pipeline-parallel-size=2 | ||
| - --nnodes=2 | ||
| - --node-rank=0 | ||
| - -cc.pass_config.fuse_allreduce_rms=False | ||
| - --master-addr=$(LWS_LEADER_ADDRESS) | ||
| - --gpu-memory-utilization=0.95 | ||
| - --max-num-seqs=256 | ||
| - --max-num-batched-tokens=512 | ||
|
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||
| - --max-model-len=-1 | ||
| - --no-enable-flashinfer-autotune | ||
| - '--compilation-config={"mode": 0, "cudagraph_mode": "FULL_DECODE_ONLY"}' | ||
| - --tokenizer-mode=deepseek_v4 | ||
| - --tool-call-parser=deepseek_v4 | ||
| - --enable-auto-tool-choice | ||
| - --reasoning-parser=deepseek_v4 | ||
| - --served-model-name=vllm-model | ||
| - --port=8080 | ||
| env: | ||
| - name: VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS | ||
| value: '1' | ||
| - name: VLLM_ENGINE_READY_TIMEOUT_S | ||
| value: '3600' | ||
| - name: VLLM_LOGGING_LEVEL | ||
| value: 'INFO' | ||
| - name: GLOO_SOCKET_IFNAME | ||
| value: eth0 | ||
| - name: NCCL_SOCKET_IFNAME | ||
| value: eth0 | ||
| - name: NODE_IP | ||
| valueFrom: | ||
| fieldRef: | ||
| fieldPath: status.hostIP | ||
| volumeMounts: | ||
| - mountPath: /dev/shm | ||
| name: dshm | ||
| - mountPath: /dev/infiniband | ||
| name: devinf | ||
| securityContext: | ||
| capabilities: | ||
| add: | ||
| - IPC_LOCK | ||
| - CAP_SYS_ADMIN | ||
| privileged: true | ||
| resources: | ||
| requests: | ||
| cpu: 64 | ||
| memory: 512Gi | ||
| nvidia.com/gpu: 8 | ||
| limits: | ||
| cpu: 64 | ||
| memory: 512Gi | ||
| nvidia.com/gpu: 8 | ||
| readinessProbe: | ||
| httpGet: | ||
| path: /health | ||
| port: 8080 | ||
| failureThreshold: 3 | ||
| successThreshold: 1 | ||
| periodSeconds: 90 | ||
| timeoutSeconds: 60 | ||
| livenessProbe: | ||
| httpGet: | ||
| path: /health | ||
| port: 8080 | ||
| failureThreshold: 5 | ||
| successThreshold: 1 | ||
| periodSeconds: 60 | ||
| timeoutSeconds: 60 | ||
| startupProbe: | ||
| httpGet: | ||
| path: /health | ||
| port: 8080 | ||
| failureThreshold: 190 | ||
| successThreshold: 1 | ||
| periodSeconds: 6 | ||
| initialDelaySeconds: 60 | ||
| timeoutSeconds: 30 | ||
| worker: | ||
| size: 1 | ||
| tolerations: | ||
| - key: "nvidia.com/gpu" | ||
| operator: "Exists" | ||
| effect: "NoSchedule" | ||
| affinity: | ||
| nodeAffinity: | ||
| requiredDuringSchedulingIgnoredDuringExecution: | ||
| nodeSelectorTerms: | ||
| - matchExpressions: | ||
| - key: node.kubernetes.io/instance-type | ||
| operator: In | ||
| values: | ||
| - BM.GPU.H100.8 | ||
| - BM.GPU.H100-NC.8 | ||
| dnsPolicy: ClusterFirstWithHostNet | ||
| hostNetwork: true | ||
| enableServiceLinks: false | ||
| hostIPC: true | ||
| volumes: | ||
| - name: dshm | ||
| emptyDir: | ||
| medium: Memory | ||
| - name: devinf | ||
| hostPath: | ||
| path: /dev/infiniband | ||
| runner: | ||
| name: ome-container | ||
| image: docker.io/vllm/vllm-openai:v0.23.0-cu129 | ||
| command: | ||
| - vllm | ||
| - serve | ||
| args: | ||
| - $(MODEL_PATH) | ||
| - --trust-remote-code | ||
| - --kv-cache-dtype=fp8 | ||
| - --block-size=256 | ||
| - --enable-expert-parallel | ||
| - --tensor-parallel-size=8 | ||
| - --pipeline-parallel-size=2 | ||
| - --nnodes=2 | ||
| - --node-rank=1 | ||
| - -cc.pass_config.fuse_allreduce_rms=False | ||
| - --master-addr=$(LWS_LEADER_ADDRESS) | ||
| - --headless | ||
| - --gpu-memory-utilization=0.95 | ||
| - --max-num-seqs=256 | ||
| - --max-num-batched-tokens=512 | ||
| - --max-model-len=-1 | ||
| - --no-enable-flashinfer-autotune | ||
| - '--compilation-config={"mode": 0, "cudagraph_mode": "FULL_DECODE_ONLY"}' | ||
| - --tokenizer-mode=deepseek_v4 | ||
| - --tool-call-parser=deepseek_v4 | ||
| - --enable-auto-tool-choice | ||
| - --reasoning-parser=deepseek_v4 | ||
| - --served-model-name=vllm-model | ||
| - --port=8080 | ||
| env: | ||
| - name: VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS | ||
| value: '1' | ||
| - name: VLLM_ENGINE_READY_TIMEOUT_S | ||
| value: '3600' | ||
| - name: VLLM_LOGGING_LEVEL | ||
| value: 'INFO' | ||
| - name: GLOO_SOCKET_IFNAME | ||
| value: eth0 | ||
| - name: NCCL_SOCKET_IFNAME | ||
| value: eth0 | ||
| - name: NODE_IP | ||
| valueFrom: | ||
| fieldRef: | ||
| fieldPath: status.hostIP | ||
| volumeMounts: | ||
| - mountPath: /dev/shm | ||
| name: dshm | ||
| - mountPath: /dev/infiniband | ||
| name: devinf | ||
| securityContext: | ||
| capabilities: | ||
| add: | ||
| - IPC_LOCK | ||
| - CAP_SYS_ADMIN | ||
| privileged: true | ||
| resources: | ||
| requests: | ||
| cpu: 64 | ||
| memory: 512Gi | ||
| nvidia.com/gpu: 8 | ||
| limits: | ||
| cpu: 64 | ||
| memory: 512Gi | ||
| nvidia.com/gpu: 8 | ||
| # omit HTTP probes since worker does not expose HTTP endpoints | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| # apiVersion: v1 | ||
| # kind: Namespace | ||
| # metadata: | ||
| # name: deepseek-v4 | ||
| --- | ||
| apiVersion: ome.io/v1beta1 | ||
| kind: InferenceService | ||
| metadata: | ||
| name: deepseek-v4-pro-multi | ||
| namespace: deepseek-v4 | ||
| spec: | ||
| model: | ||
| name: deepseek-v4-pro | ||
| engine: | ||
| minReplicas: 1 | ||
| maxReplicas: 1 | ||
| router: | ||
| minReplicas: 1 | ||
| maxReplicas: 1 | ||
| runtime: | ||
| name: vllm-deepseek-v4-pro-multi |
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Does decreasing this increase this improve the batched_tokens?
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decreasing this help with the memory pressure.