wehub-resource-sync
42 lines
1.8 KiB
YAML
42 lines
1.8 KiB
YAML
# An unique identifier for the head node and workers of this cluster.
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cluster_name: default
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# The maximum number of workers nodes to launch in addition to the head
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# node.
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max_workers: 5
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# Cloud-provider specific configuration.
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provider:
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type: vsphere
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# How Ray will authenticate with newly launched nodes.
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auth:
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ssh_user: ray
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# By default Ray creates a new private keypair, but you can also use your own.
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# If you do so, make sure to also set "KeyName" in the head and worker node
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# configurations below.
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ssh_private_key: ~/ray-bootstrap-key.pem
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# Tell the autoscaler the allowed node types and the resources they provide.
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# The key is the name of the node type, which is just for debugging purposes.
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# The node config specifies the launch config and physical instance type.
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available_node_types:
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ray.head.default:
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# You can override the resources here. Adding GPU to the head node is not recommended.
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# resources: { "CPU": 2, "Memory": 4096}
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resources: {}
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ray.worker.default:
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# The minimum number of nodes of this type to launch.
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# This number should be >= 0.
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min_workers: 1
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max_workers: 3
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# You can override the resources here. For GPU, currently only NVIDIA GPU is supported. If no ESXi host can
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# fulfill the requirement, the Ray node creation will fail. The number of created nodes may not meet the desired
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# minimum number. The vSphere node provider will not distinguish the GPU type. It will just count the quantity:
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# mount the first k random available NVIDIA GPU to the VM, if the user set {"GPU": k}.
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# resources: {"CPU": 2, "Memory": 4096, "GPU": 1}
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resources: {}
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# Specify the node type of the head node (as configured above).
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head_node_type: ray.head.default
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