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[Doc][aws][autoscaler] Update AWS cluster cfg yaml to use default AMI. #31567

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Jan 10, 2023
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[Doc][aws][autoscaler] Update AWS cluster cfg yaml to use default AMI. #31567

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62e4c01
[Doc] Update AWS cluster cfg yaml to use default AMI.
Jan 10, 2023
c3035bf
example-full.yaml has the actual AMI
Jan 10, 2023
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2 changes: 2 additions & 0 deletions python/ray/autoscaler/_private/aws/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,8 @@
DEFAULT_AMI_NAME = "AWS Deep Learning AMI (Ubuntu 18.04) V61.0"

# Obtained from https://aws.amazon.com/marketplace/pp/B07Y43P7X5 on 6/10/2022.
# TODO(alex) : write a unit test to make sure we update AMI version used in
# ray/autoscaler/aws/example-full.yaml whenever we update this dict.
DEFAULT_AMI = {
"us-east-1": "ami-0dd6adfad4ad37eec", # US East (N. Virginia)
"us-east-2": "ami-0c77cd5ca05bf1281", # US East (Ohio)
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10 changes: 8 additions & 2 deletions python/ray/autoscaler/aws/example-full.yaml
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Expand Up @@ -71,7 +71,10 @@ available_node_types:
# http://boto3.readthedocs.io/en/latest/reference/services/ec2.html#EC2.ServiceResource.create_instances
node_config:
InstanceType: m5.large
ImageId: ami-0a2363a9cff180a64 # Deep Learning AMI (Ubuntu) Version 30
# Default AMI for us-west-2.
# Check https://github.com/ray-project/ray/blob/master/python/ray/autoscaler/_private/aws/config.py
# for default images for other zones.
ImageId: ami-0387d929287ab193e
# You can provision additional disk space with a conf as follows
BlockDeviceMappings:
- DeviceName: /dev/sda1
Expand All @@ -97,7 +100,10 @@ available_node_types:
# http://boto3.readthedocs.io/en/latest/reference/services/ec2.html#EC2.ServiceResource.create_instances
node_config:
InstanceType: m5.large
ImageId: ami-0a2363a9cff180a64 # Deep Learning AMI (Ubuntu) Version 30
# Default AMI for us-west-2.
# Check https://github.com/ray-project/ray/blob/master/python/ray/autoscaler/_private/aws/config.py
# for default images for other zones.
ImageId: ami-0387d929287ab193e
# Run workers on spot by default. Comment this out to use on-demand.
# NOTE: If relying on spot instances, it is best to specify multiple different instance
# types to avoid interruption when one instance type is experiencing heightened demand.
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6 changes: 4 additions & 2 deletions python/ray/autoscaler/aws/example-gpu-docker.yaml
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Expand Up @@ -59,7 +59,8 @@ available_node_types:
# http://boto3.readthedocs.io/en/latest/reference/services/ec2.html#EC2.ServiceResource.create_instances
node_config:
InstanceType: p2.xlarge
ImageId: ami-0a2363a9cff180a64 # Deep Learning AMI (Ubuntu) Version 30
# Default AMI. Uncomment to use a different AMI.
# ImageId:
# You can provision additional disk space with a conf as follows
BlockDeviceMappings:
- DeviceName: /dev/sda1
Expand Down Expand Up @@ -91,7 +92,8 @@ available_node_types:
# http://boto3.readthedocs.io/en/latest/reference/services/ec2.html#EC2.ServiceResource.create_instances
node_config:
InstanceType: m5.large
ImageId: ami-0a2363a9cff180a64 # Deep Learning AMI (Ubuntu) Version 30
# Default AMI. Uncomment to use a different AMI.
# ImageId:
# Run workers on spot by default. Comment this out to use on-demand.
InstanceMarketOptions:
MarketType: spot
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