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cluster_name: prefetch | |
provider: | |
type: aws | |
region: us-west-1 | |
cache_stopped_nodes: false | |
auth: | |
ssh_user: ubuntu | |
max_workers: 5 | |
available_node_types: | |
1_gpu_node: | |
node_config: | |
InstanceType: m5.4xlarge | |
IamInstanceProfile: | |
Arn: arn:aws:iam::959243851260:instance-profile/ray-autoscaler-v1 | |
BlockDeviceMappings: | |
- DeviceName: /dev/sda1 | |
Ebs: | |
VolumeSize: 500 | |
resources: | |
CPU: 0 | |
GPU: 4 | |
min_workers: 1 | |
max_workers: 1 | |
memory_node: | |
node_config: | |
InstanceType: m5.4xlarge | |
IamInstanceProfile: | |
Arn: arn:aws:iam::959243851260:instance-profile/ray-autoscaler-v1 | |
BlockDeviceMappings: | |
- DeviceName: /dev/sda1 | |
Ebs: | |
VolumeSize: 500 | |
resources: {} | |
min_workers: 4 | |
max_workers: 4 | |
head_node_type: memory_node | |
setup_commands: | |
- pip install llvmlite --ignore-installed | |
- pip install "ray[tune,data,default] @ https://s3-us-west-2.amazonaws.com/ray-wheels/ubranch-1.11.0/56aa48eff7cd780637ac96978b49e527885fd92e/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl" jupyter torch awscli pyarrow tensorboard boto3 pickle5 mlflow torchvision | |
- pip uninstall aiohttp -y | |
- pip install aiohttp==3.7 | |
- pip install pyarrow==6.0.1 | |
- mkdir -p data inference models runs |
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