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ray-operator/config/samples/ray-cluster.verl.yaml
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+apiVersion: ray.io/v1
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+kind: RayCluster
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+metadata:
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+ name: verl-cluster
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+spec:
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+ rayVersion: '2.43.0'
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+ headGroupSpec:
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+ rayStartParams: {}
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+ template:
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+ spec:
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+ containers:
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+ - name: ray-head
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+ image: hiyouga/verl:ngc-th2.6.0-cu126-vllm0.8.4-flashinfer0.2.2-cxx11abi0
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+ resources:
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+ limits:
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+ cpu: 48
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+ memory: 192G
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+ nvidia.com/gpu: "4"
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+ requests:
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+ cpu: 36
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+ memory: 144G
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+ ports:
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+ - containerPort: 6379
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+ name: gcs-server
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+ - containerPort: 8265
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+ name: dashboard
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+ - containerPort: 10001
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+ name: client
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