Usage with AWS S3 and Ray about datacomp HOT 5 OPEN

cluster_name: datacomp-downloader

min_workers: 0
max_workers: 10
upscaling_speed: 1.0

provider:
  type: aws
  region: us-east-1
  cache_stopped_nodes: false

available_node_types:
  ray.head.default:
    resources: {}
    node_config:
      InstanceType: m5.12xlarge
      ImageId: ami-068d304eca3399469
      BlockDeviceMappings:
        - DeviceName: /dev/sda1
          Ebs:
            DeleteOnTermination: true
            VolumeSize: 200
            VolumeType: gp2
  ray.worker.default:
    resources: {}
    node_config:
      InstanceType: m5.12xlarge
      ImageId: ami-068d304eca3399469
      BlockDeviceMappings:
        - DeviceName: /dev/sda1
          Ebs:
            DeleteOnTermination: true
            VolumeSize: 200
            VolumeType: gp2

initialization_commands:
  # Knot Resolver
  - wget https://secure.nic.cz/files/knot-resolver/knot-resolver-release.deb
  - sudo dpkg --install knot-resolver-release.deb
  - rm knot-resolver-release.deb
  - sudo apt-get update
  - sudo apt-get install --yes knot-resolver
  - echo $(hostname --all-ip-addresses) $(hostname) | sudo tee --append /etc/hosts
  - sudo systemctl start kresd@{1..48}.service
  - echo nameserver 127.0.0.1 | sudo tee /etc/resolv.conf
  - sudo systemctl stop systemd-resolved
  # Anaconda
  - sudo mkdir /opt/miniconda3 && sudo chown $USER /opt/miniconda3
  - wget https://repo.anaconda.com/miniconda/Miniconda3-py39_22.11.1-1-Linux-x86_64.sh
  - bash Miniconda3-py39_22.11.1-1-Linux-x86_64.sh -f -b -p /opt/miniconda3
  - rm Miniconda3-py39_22.11.1-1-Linux-x86_64.sh
  - /opt/miniconda3/bin/conda init bash
  # Ray
  - conda create --yes --name=ray python=3.10.8
  - echo conda activate ray >> ~/.bashrc
  - pip install ray[all]==2.7.0

setup_commands:
  - sudo apt-get update
  - sudo apt-get install --yes build-essential ffmpeg