ray/benchmarks/single_node/config.yaml

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cluster_name: single-node-benchmarks
min_workers: 0
max_workers: 0
upscaling_speed: 9999999
provider:
type: aws
region: us-west-2
availability_zone: us-west-2a
auth:
ssh_user: ubuntu
available_node_types:
head_node:
node_config:
InstanceType: m4.16xlarge
ImageId: ami-098555c9b343eb09c
resources:
node: 1
max_workers: 999999
worker_node:
node_config:
InstanceType: m4.xlarge
ImageId: ami-098555c9b343eb09c
head_node_type: head_node
worker_default_node_type: worker_node
setup_commands:
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/releases/1.4.0/6ac5e0e5ad45070e27c77aca7267bcee30cc4b4a/ray-1.4.0-cp37-cp37m-manylinux2014_x86_64.whl
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- pip install numpy tqdm
- sudo bash -c 'rm -rf /etc/security/limits.d; echo "* soft nofile 1000000" >> /etc/security/limits.conf; echo "* hard nofile 1000000" >> /etc/security/limits.conf;'
idle_timeout_minutes: 5
head_start_ray_commands:
- ray stop
- ulimit -n 1000000; ray start --head --port=6379 --object-manager-port=8076 --object-store-memory=128000000000 --autoscaling-config=~/ray_bootstrap_config.yaml