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https://github.com/allaunthefox/Research-Stack.git
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c6206b1ba8
- infrastructure-status.md: rewrite with current cluster topology (cupfox control-plane, neon-64gb/racknerd/steamdeck workers), RayCluster status, Garage storage, Caddy edge, open issues - k3s-cluster-setup.md: fix steamdeck hardware specs (8 vCPU, 14.5 GB RAM) - raycluster.yaml: upgrade to rayproject/ray:nightly-py313-gpu (multi-arch amd64+arm64), add gpu-workers group targeting neon-64gb, add arm64-workers for neon-64gb CPU - README.md: update build job count (3460 → 3313, verified) Build: lake build Compiler 3313 jobs, 0 errors
135 lines
3.2 KiB
YAML
135 lines
3.2 KiB
YAML
apiVersion: ray.io/v1
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kind: RayCluster
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metadata:
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name: raycluster
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namespace: ray-system
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spec:
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rayVersion: "2.41.0.dev0"
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headGroupSpec:
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serviceType: ClusterIP
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rayStartParams:
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num-cpus: "0"
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dashboard: "false"
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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: rayproject/ray:nightly-py313-gpu
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ports:
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- containerPort: 6379
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name: gcs
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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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- containerPort: 8000
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name: serve
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resources:
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requests:
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cpu: "2"
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memory: "4Gi"
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limits:
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cpu: "4"
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memory: "8Gi"
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volumeMounts:
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- name: dshm
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mountPath: /dev/shm
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volumes:
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- name: dshm
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emptyDir:
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medium: Memory
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sizeLimit: 2Gi
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nodeSelector:
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kubernetes.io/hostname: steamdeck
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workerGroupSpecs:
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- replicas: 1
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minReplicas: 0
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maxReplicas: 3
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groupName: cpu-workers
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rayStartParams:
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num-cpus: "2"
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template:
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spec:
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containers:
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- name: ray-worker
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image: rayproject/ray:nightly-py313-gpu
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resources:
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requests:
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cpu: "1"
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memory: "1Gi"
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limits:
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cpu: "2"
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memory: "2Gi"
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volumeMounts:
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- name: dshm
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mountPath: /dev/shm
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volumes:
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- name: dshm
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emptyDir:
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medium: Memory
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sizeLimit: 1Gi
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nodeSelector:
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kubernetes.io/hostname: steamdeck
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- replicas: 0
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minReplicas: 0
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maxReplicas: 2
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groupName: gpu-workers
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rayStartParams:
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num-gpus: "1"
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template:
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spec:
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containers:
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- name: ray-worker
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image: rayproject/ray:nightly-py313-gpu
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resources:
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requests:
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cpu: "2"
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memory: "8Gi"
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nvidia.com/gpu: "1"
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limits:
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cpu: "4"
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memory: "16Gi"
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nvidia.com/gpu: "1"
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volumeMounts:
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- name: dshm
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mountPath: /dev/shm
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volumes:
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- name: dshm
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emptyDir:
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medium: Memory
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sizeLimit: 4Gi
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nodeSelector:
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kubernetes.io/hostname: neon-64gb
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tolerations:
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- key: "nvidia.com/gpu"
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operator: "Exists"
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effect: "NoSchedule"
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- replicas: 0
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minReplicas: 0
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maxReplicas: 1
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groupName: arm64-workers
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rayStartParams:
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num-cpus: "4"
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template:
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spec:
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containers:
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- name: ray-worker
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image: rayproject/ray:nightly-py313-gpu
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resources:
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requests:
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cpu: "4"
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memory: "8Gi"
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limits:
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cpu: "8"
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memory: "16Gi"
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volumeMounts:
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- name: dshm
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mountPath: /dev/shm
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volumes:
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- name: dshm
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emptyDir:
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medium: Memory
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sizeLimit: 4Gi
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nodeSelector:
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kubernetes.io/hostname: neon-64gb
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kubernetes.io/arch: arm64
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