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Add volta runner - p3.8xlarge. Remove unused windows memory runner (#6921)
Add Volta runner to test sm70 architecture with CUDA 12.8. Required for testing of : pytorch/pytorch#157517 Remove windows memory runner that was used to test Windows CUDA 12.9 regression and not required anymore
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.github/canary-scale-config.yml

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@@ -67,6 +67,11 @@ runner_types:
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instance_type: c5.12xlarge
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is_ephemeral: true
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os: linux
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c.linux.p3.8xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: p3.8xlarge
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is_ephemeral: true
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os: linux
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c.linux.16xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g3.16xlarge
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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c.windows.16xlarge.memory:
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disk_size: 256
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instance_type: r5n.16xlarge
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is_ephemeral: true
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os: windows
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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c.windows.16xlarge.memory.nonephemeral:
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disk_size: 256
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instance_type: r5n.16xlarge
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is_ephemeral: true
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os: windows
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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c.windows.8xlarge.nvidia.gpu:
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disk_size: 256
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instance_type: p3.2xlarge

.github/lf-canary-scale-config.yml

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@@ -67,6 +67,11 @@ runner_types:
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instance_type: c5.12xlarge
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is_ephemeral: true
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os: linux
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lf.c.linux.p3.8xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: p3.8xlarge
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is_ephemeral: true
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os: linux
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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
@@ -214,22 +219,6 @@ runner_types:
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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lf.c.windows.16xlarge.memory:
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disk_size: 256
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instance_type: r5n.16xlarge
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is_ephemeral: true
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os: windows
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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lf.c.windows.16xlarge.memory.nonephemeral:
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disk_size: 256
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instance_type: r5n.16xlarge
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is_ephemeral: true
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os: windows
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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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

.github/lf-scale-config.yml

Lines changed: 5 additions & 16 deletions
Original file line numberDiff line numberDiff line change
@@ -67,6 +67,11 @@ runner_types:
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instance_type: c5.12xlarge
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is_ephemeral: true
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os: linux
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lf.linux.p3.8xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: p3.8xlarge
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is_ephemeral: true
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os: linux
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lf.linux.16xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g3.16xlarge
@@ -214,22 +219,6 @@ runner_types:
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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lf.windows.16xlarge.memory:
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disk_size: 256
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instance_type: r5n.16xlarge
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is_ephemeral: true
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os: windows
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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lf.windows.16xlarge.memory.nonephemeral:
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disk_size: 256
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instance_type: r5n.16xlarge
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is_ephemeral: true
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os: windows
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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lf.windows.8xlarge.nvidia.gpu:
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disk_size: 256
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instance_type: p3.2xlarge

.github/scale-config.yml

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@@ -63,6 +63,11 @@ runner_types:
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instance_type: c5.12xlarge
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is_ephemeral: true
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os: linux
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linux.p3.8xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: p3.8xlarge
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is_ephemeral: true
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os: linux
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linux.16xlarge.nvidia.gpu:
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disk_size: 150
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instance_type: g3.16xlarge
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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windows.16xlarge.memory:
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disk_size: 256
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instance_type: r5n.16xlarge
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is_ephemeral: true
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os: windows
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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windows.16xlarge.memory.nonephemeral:
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disk_size: 256
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instance_type: r5n.16xlarge
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is_ephemeral: true
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os: windows
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variants:
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wincanary:
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ami: Windows 2019 GHA CI - 20250526202723
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windows.8xlarge.nvidia.gpu:
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disk_size: 256
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instance_type: p3.2xlarge

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