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Showing content from https://docs.github.com/en/actions/reference/runners/larger-runners below:

Larger runners reference - GitHub Docs

Find information about larger runners, including their specifications and customization options.

You can choose from several specifications for larger runners.

Specifications for general larger runners CPU Memory (RAM) Storage (SSD) Architecture Operating system (OS) 5 14 GB 14 GB arm64 (M2) macOS 12 30 GB 14 GB x64 (Intel) macOS 2 8 GB 75 GB x64, arm64 Ubuntu 4 16 GB 150 GB x64, arm64 Ubuntu, Windows 8 32 GB 300 GB x64, arm64 Ubuntu, Windows 16 64 GB 600 GB x64, arm64 Ubuntu, Windows 32 128 GB 1200 GB x64, arm64 Ubuntu, Windows 64 208 GB 2040 GB arm64 Ubuntu, Windows 64 256 GB 2040 GB x64 Ubuntu, Windows 96 384 GB 2040 GB x64 Ubuntu, Windows

Note

The 4-vCPU Windows runner only works with the Windows Server 2025 or the Base Windows 11 Desktop image.

Note

The 5-vCPU macOS runner is in public preview and subject to change.

Specifications for GPU larger runners CPU GPU GPU card Memory (RAM) GPU memory (VRAM) Storage (SSD) Operating system (OS) 4 1 Tesla T4 28 GB 16 GB 176 GB Ubuntu, Windows Runner images

Larger runners run on virtual machines (VMs), and GitHub installs a virtual hard disk (VHD) on this machine during the VM creation process. You can choose from different VM images to install on your runners.

GitHub-owned images: These images are maintained by GitHub and are available for Linux x64, Windows x64, and macOS (x64 and arm) runners. For more information on these images and a full list of included tools for each runner operating system, see the GitHub Actions Runner Images repository.

Partner Images: Partner images are not managed by GitHub and are pulled from the Azure Marketplace. See below for resources on where to find more information and to report issues for partner images.

Available macOS larger runners and labels

The following machines are available for macOS larger runners.

Runner Size Architecture Processor (CPU) Memory (RAM) Storage (SSD) Workflow label Large Intel 12 30 GB 14 GB macos-latest-large, macos-13-large, macos-14-large [latest], macos-15-large XLarge arm64 (M2) 5 (+ 8 GPU hardware acceleration) 14 GB 14 GB macos-latest-xlarge, macos-13-xlarge, macos-14-xlarge [latest], macos-15-xlarge

Note

The XLarge macOS runner is in public preview and subject to change.

Limitations for macOS larger runners

All actions provided by GitHub are compatible with arm64 GitHub-hosted runners. However, community actions may not be compatible with arm64 and need to be manually installed at runtime.
Nested-virtualization and Metal Performance Shaders (MPS) are not supported due to the limitation of Apple's Virtualization Framework.
Networking capabilities such as Azure private networking and assigning static IPs are not currently available for macOS larger runners.
The arm64 macOS runners do not have a static UUID/UDID assigned to them because Apple does not support this feature. However, Intel MacOS runners are assigned a static UDID, specifically 4203018E-580F-C1B5-9525-B745CECA79EB. If you are building and signing on the same host you plan to test the build on, you can sign with a development provisioning profile. If you do require a static UDID, you can use Intel runners and add their UDID to your Apple Developer account.

Networking for larger runners

By default, larger runners receive a dynamic IP address that changes for each job run. Optionally, GitHub Enterprise Cloud customers can configure their larger runners to receive static IP addresses from GitHub's IP address pool. For more information, see About GitHub's IP addresses.

When enabled, instances of the larger runner will receive IP addresses from specific ranges that are unique to the runner, allowing you to use the ranges to configure a firewall allowlist. You can use up to 10 larger runners with static IP address ranges in total across all your larger runners. For more information, see Managing larger runners.

If you would like to use more than 10 larger runners with static IP address ranges, please contact us through the GitHub Support portal.

Note

If runners are unused for more than 30 days, their IP address ranges are automatically removed and cannot be recovered.

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