apiVersion: apps/v1 kind: Deployment metadata: name: a100-brain-vllm namespace: customer1 labels: app: a100-brain spec: replicas: 1 selector: matchLabels: app: a100-brain template: metadata: labels: app: a100-brain spec: nodeSelector: cloud.google.com/gke-accelerator: "nvidia-a100-80gb" tolerations: - key: "nvidia.com/gpu-a100-80gb" operator: "Equal" value: "present" effect: "NoSchedule" containers: - name: vllm-brain image: vllm/vllm-openai:latest command: ["python3", "-m", "vllm.entrypoints.openai.api_server"] env: - name: HF_TOKEN value: "" - name: TOKENIZER_MODE value: "hf" args: - --model=sakamakismile/Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP - --host=0.0.0.0 - --port=8000 - --tensor-parallel-size=1 - --tokenizer-mode=hf - --gpu-memory-utilization=0.95 - --kv-cache-dtype=fp8 - --max-model-len=262144 - --enable-auto-tool-choice - --enable-chunked-prefill - --max-num-batched-tokens=16384 - --max-num-seqs=2 - --trust-remote-code - --dtype=auto - --enable-prefix-caching - --tool-call-parser=qwen3_xml - --reasoning-parser=qwen3 - --disable-custom-all-reduce - --attention-backend=flash_attn - --quantization=modelopt ports: - containerPort: 8000 resources: limits: nvidia.com/gpu: 1 requests: nvidia.com/gpu: 1 memory: "100Gi" cpu: "24" startupProbe: httpGet: path: /health port: 8000 initialDelaySeconds: 30 periodSeconds: 10 timeoutSeconds: 10 failureThreshold: 60 successThreshold: 1 livenessProbe: httpGet: path: /health port: 8000 initialDelaySeconds: 180 periodSeconds: 15 failureThreshold: 5 successThreshold: 1 timeoutSeconds: 10 readinessProbe: httpGet: path: /v1/models port: 8000 initialDelaySeconds: 120 periodSeconds: 10 timeoutSeconds: 15 failureThreshold: 8 successThreshold: 1 volumeMounts: - name: model-cache mountPath: /root/.cache/huggingface volumes: - name: model-cache persistentVolumeClaim: claimName: vllm-model-qwen3.6-27b-uncensored-4bit --- apiVersion: v1 kind: PersistentVolumeClaim metadata: name: vllm-model-qwen3.6-27b-uncensored-4bit namespace: customer1 spec: accessModes: - ReadWriteOnce resources: requests: storage: 100Gi --- apiVersion: v1 kind: Service metadata: name: a100-brain-service namespace: customer1 spec: selector: app: a100-brain ports: - protocol: TCP port: 8000 targetPort: 8000 type: ClusterIP