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scale-config.yml
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scale-config.yml
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# scale-config.yml:
# Powers what instance types are available for GHA auto-scaled
# runners. Runners listed here will be available as self hosted
# runners, configuration is directly pulled from the main branch.
#
#
# NOTES:
# - Linux runners are by default non-ephemeral to reduce the amount of CreateInstaces calls
# to avoid RequestLimitExceeded issues
# - When updating this file, run the following command to validate the YAML and to generate
# corresponding versions of scale-config for the pytorch/pytorch repo and merge the
# pytorch/pytorch changes before merging these changes.
# `python .github/scripts/validate_scale_config.py --test-infra-repo-root [path_to_test-infra_root] --pytorch-repo-root [path_to_pytorch_root]``
#
# TODO: Add some documentation on how the auto-scaling works
#
# NOTE: Default values,
#
# runner_types:
# runner_label:
# instance_type: m4.large
# os: linux
# max_available: 20
# disk_size: 50
# is_ephemeral: true
runner_types:
linux.12xlarge:
disk_size: 200
instance_type: c5.12xlarge
is_ephemeral: false
max_available: 2000
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.10xlarge.avx2:
disk_size: 200
instance_type: m4.10xlarge
is_ephemeral: false
max_available: 450
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.24xl.spr-metal:
disk_size: 200
instance_type: c7i.metal-24xl
is_ephemeral: false
max_available: 150
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.16xlarge.spr:
disk_size: 200
instance_type: c7i.16xlarge
is_ephemeral: false
max_available: 150
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.9xlarge.ephemeral:
disk_size: 200
instance_type: c5.9xlarge
is_ephemeral: true
max_available: 50
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
variants:
am2:
ami: amzn2-ami-hvm-2.0.20240306.2-x86_64-ebs
linux.12xlarge.ephemeral:
disk_size: 200
instance_type: c5.12xlarge
is_ephemeral: true
max_available: 300
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.16xlarge.nvidia.gpu:
disk_size: 150
instance_type: g3.16xlarge
is_ephemeral: false
max_available: 150
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.24xlarge:
disk_size: 150
instance_type: c5.24xlarge
is_ephemeral: false
max_available: 500
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.24xlarge.ephemeral:
disk_size: 150
instance_type: c5.24xlarge
is_ephemeral: true
max_available: 200
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.2xlarge:
disk_size: 150
instance_type: c5.2xlarge
is_ephemeral: false
max_available: 3120
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.4xlarge:
disk_size: 150
instance_type: c5.4xlarge
is_ephemeral: false
max_available: 1000
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.4xlarge.nvidia.gpu:
disk_size: 150
instance_type: g3.4xlarge
is_ephemeral: false
max_available: 1000
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.8xlarge.nvidia.gpu:
disk_size: 150
instance_type: g3.8xlarge
is_ephemeral: false
max_available: 400
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.g4dn.12xlarge.nvidia.gpu:
disk_size: 150
instance_type: g4dn.12xlarge
is_ephemeral: false
max_available: 250
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.g4dn.metal.nvidia.gpu:
disk_size: 150
instance_type: g4dn.metal
is_ephemeral: false
max_available: 300
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.g5.48xlarge.nvidia.gpu:
disk_size: 150
instance_type: g5.48xlarge
is_ephemeral: false
max_available: 200
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.g5.12xlarge.nvidia.gpu:
disk_size: 150
instance_type: g5.12xlarge
is_ephemeral: false
max_available: 150
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.g5.4xlarge.nvidia.gpu:
disk_size: 150
instance_type: g5.4xlarge
is_ephemeral: false
max_available: 2400
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.g6.4xlarge.experimental.nvidia.gpu:
disk_size: 150
instance_type: g6.4xlarge
is_ephemeral: false
max_available: 50
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.large:
max_available: 1200
disk_size: 15
instance_type: c5.large
is_ephemeral: false
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-x86_64
linux.arm64.2xlarge:
disk_size: 256
instance_type: t4g.2xlarge
is_ephemeral: false
max_available: 200
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
linux.arm64.m7g.4xlarge:
disk_size: 256
instance_type: m7g.4xlarge
is_ephemeral: false
max_available: 200
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
linux.arm64.2xlarge.ephemeral:
disk_size: 256
instance_type: t4g.2xlarge
is_ephemeral: true
max_available: 200
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
linux.arm64.m7g.4xlarge.ephemeral:
disk_size: 256
instance_type: m7g.4xlarge
is_ephemeral: true
max_available: 200
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
linux.arm64.m7g.metal:
disk_size: 256
instance_type: m7g.metal
is_ephemeral: false
max_available: 100
os: linux
ami: al2023-ami-2023.5.202*-kernel-6.1-arm64
windows.g4dn.xlarge:
disk_size: 256
instance_type: g4dn.xlarge
is_ephemeral: true
max_available: 100
os: windows
windows.g4dn.xlarge.nonephemeral:
disk_size: 256
instance_type: g4dn.xlarge
is_ephemeral: false
max_available: 100
os: windows
windows.4xlarge:
disk_size: 256
instance_type: c5d.4xlarge
is_ephemeral: true
max_available: 420
os: windows
windows.4xlarge.nonephemeral:
disk_size: 256
instance_type: c5d.4xlarge
is_ephemeral: false
max_available: 420
os: windows
windows.8xlarge.nvidia.gpu:
disk_size: 256
instance_type: p3.2xlarge
is_ephemeral: true
max_available: 300
os: windows
windows.8xlarge.nvidia.gpu.nonephemeral:
disk_size: 256
instance_type: p3.2xlarge
is_ephemeral: false
max_available: 300
os: windows
windows.g5.4xlarge.nvidia.gpu:
disk_size: 256
instance_type: g5.4xlarge
is_ephemeral: false
max_available: 250
os: windows