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[EZ] Remove canary scale config (#138361)
Removing just the LF canary scale config for now to test the changes in https://github.com/pytorch/test-infra/pull/5767 Those changes have been deployed to prod and appear to be working, but this will be the final proof that it is in fact reading the test-config version of scale-config and not the pytorch/pytorch copy. Note: This will break the Scale config validation workflow on test-infra, but it's worth it since this test will be very short lived and that workflow only runs when someone modifies scale config Pull Request resolved: https://github.com/pytorch/pytorch/pull/138361 Approved by: https://github.com/wdvr
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.github/lf-canary-scale-config.yml
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.github/lf-canary-scale-config.yml
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# This file is generated by .github/scripts/validate_scale_config.py in test-infra
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# It defines runner types that will be provisioned by by LF Self-hosted runners
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# scale-config.yml:
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# Powers what instance types are available for GHA auto-scaled
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# runners. Runners listed here will be available as self hosted
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# runners, configuration is directly pulled from the main branch.
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#
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#
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# NOTES:
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# - Linux runners are by default non-ephemeral to reduce the amount of CreateInstaces calls
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# to avoid RequestLimitExceeded issues
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# - When updating this file, run the following command to validate the YAML and to generate
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# corresponding versions of scale-config for the pytorch/pytorch repo and merge the
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# pytorch/pytorch changes before merging these changes.
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# `python .github/scripts/validate_scale_config.py --test-infra-repo-root [path_to_test-infra_root] --pytorch-repo-root [path_to_pytorch_root]``
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#
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# TODO: Add some documentation on how the auto-scaling works
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#
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# NOTE: Default values,
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#
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# runner_types:
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# runner_label:
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# instance_type: m4.large
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# os: linux
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# max_available: 20
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# disk_size: 50
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# is_ephemeral: true
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runner_types:
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lf.c.linux.12xlarge:
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disk_size: 200
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instance_type: c5.12xlarge
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is_ephemeral: false
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max_available: 2000
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.10xlarge.avx2:
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disk_size: 200
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instance_type: m4.10xlarge
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is_ephemeral: false
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max_available: 450
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.24xl.spr-metal:
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disk_size: 200
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instance_type: c7i.metal-24xl
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is_ephemeral: false
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max_available: 150
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.16xlarge.spr:
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disk_size: 200
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instance_type: c7i.16xlarge
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is_ephemeral: false
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max_available: 150
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.9xlarge.ephemeral:
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disk_size: 200
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instance_type: c5.9xlarge
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is_ephemeral: true
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max_available: 50
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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variants:
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am2:
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ami: amzn2-ami-hvm-2.0.20240306.2-x86_64-ebs
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lf.c.linux.12xlarge.ephemeral:
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disk_size: 200
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instance_type: c5.12xlarge
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is_ephemeral: true
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max_available: 300
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.16xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g3.16xlarge
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is_ephemeral: false
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max_available: 150
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.24xlarge:
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disk_size: 150
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instance_type: c5.24xlarge
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is_ephemeral: false
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max_available: 500
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.24xlarge.ephemeral:
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disk_size: 150
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instance_type: c5.24xlarge
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is_ephemeral: true
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max_available: 200
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.2xlarge:
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disk_size: 150
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instance_type: c5.2xlarge
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is_ephemeral: false
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max_available: 3120
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.4xlarge:
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disk_size: 150
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instance_type: c5.4xlarge
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is_ephemeral: false
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max_available: 1000
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.4xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g3.4xlarge
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is_ephemeral: false
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max_available: 1000
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.8xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g3.8xlarge
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is_ephemeral: false
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max_available: 400
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.g4dn.12xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g4dn.12xlarge
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is_ephemeral: false
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max_available: 250
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.g4dn.metal.nvidia.gpu:
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disk_size: 150
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instance_type: g4dn.metal
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is_ephemeral: false
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max_available: 300
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.g5.48xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g5.48xlarge
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is_ephemeral: false
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max_available: 200
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.g5.12xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g5.12xlarge
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is_ephemeral: false
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max_available: 150
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.g5.4xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g5.4xlarge
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is_ephemeral: false
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max_available: 2400
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.g6.4xlarge.experimental.nvidia.gpu:
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disk_size: 150
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instance_type: g6.4xlarge
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is_ephemeral: false
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max_available: 50
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.large:
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max_available: 1200
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disk_size: 15
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instance_type: c5.large
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is_ephemeral: false
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
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lf.c.linux.arm64.2xlarge:
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disk_size: 256
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instance_type: t4g.2xlarge
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is_ephemeral: false
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max_available: 200
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
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lf.c.linux.arm64.m7g.4xlarge:
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disk_size: 256
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instance_type: m7g.4xlarge
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is_ephemeral: false
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max_available: 200
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
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lf.c.linux.arm64.2xlarge.ephemeral:
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disk_size: 256
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instance_type: t4g.2xlarge
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is_ephemeral: true
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max_available: 200
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
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lf.c.linux.arm64.m7g.4xlarge.ephemeral:
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disk_size: 256
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instance_type: m7g.4xlarge
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is_ephemeral: true
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max_available: 200
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
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lf.c.linux.arm64.m7g.metal:
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disk_size: 256
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instance_type: m7g.metal
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is_ephemeral: false
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max_available: 100
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os: linux
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ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
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lf.c.windows.g4dn.xlarge:
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disk_size: 256
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instance_type: g4dn.xlarge
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is_ephemeral: true
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max_available: 100
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os: windows
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lf.c.windows.g4dn.xlarge.nonephemeral:
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disk_size: 256
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instance_type: g4dn.xlarge
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is_ephemeral: false
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max_available: 100
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os: windows
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lf.c.windows.4xlarge:
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disk_size: 256
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instance_type: c5d.4xlarge
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is_ephemeral: true
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max_available: 420
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os: windows
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lf.c.windows.4xlarge.nonephemeral:
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disk_size: 256
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instance_type: c5d.4xlarge
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is_ephemeral: false
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max_available: 420
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os: windows
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lf.c.windows.8xlarge.nvidia.gpu:
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disk_size: 256
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instance_type: p3.2xlarge
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is_ephemeral: true
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max_available: 300
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os: windows
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lf.c.windows.8xlarge.nvidia.gpu.nonephemeral:
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disk_size: 256
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instance_type: p3.2xlarge
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is_ephemeral: false
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max_available: 300
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os: windows
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lf.c.windows.g5.4xlarge.nvidia.gpu:
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disk_size: 256
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instance_type: g5.4xlarge
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is_ephemeral: false
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max_available: 250
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os: windows
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