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https://github.com/vale981/ray
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1483c4553c
m5.16xlarge instances have 64 CPU and 256GB memory, which are overkill for scheduling tests that do not have a lot of computations. Use smaller instance m5.4xlarge to save cost and make allocating instances easier.
26 lines
576 B
YAML
26 lines
576 B
YAML
cloud_id: {{env["ANYSCALE_CLOUD_ID"]}}
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region: us-west-2
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max_workers: 999
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head_node_type:
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name: head_node
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instance_type: m5.4xlarge
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resources:
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# Assume the node has 64 CPU instead of 16.
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# This should be fine since each task has little
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# computation in scheduling tests.
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cpu: 64
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custom_resources:
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node: 1
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worker_node_types:
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- name: worker_node
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instance_type: m5.4xlarge
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min_workers: 31
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max_workers: 31
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use_spot: false
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resources:
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cpu: 64
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custom_resources:
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node: 1
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