Linux x64 Runners
Browse Tenki Cloud's range of x64 Runners with various CPU and memory configurations. Find the perfect performance tier for your workflow needs from 2 to 16 vCPUs.
Tenki’s x64 Standard Runners leverage 4th Gen AMD EPYC processors, with a 1:2 physical-to-virtual core mapping, each pair of x64 vCPUs corresponds to a single physical core, ensuring consistent and predictable compute performance.
This architecture enables Tenki to deliver highly efficient resource utilization and optimal price-performance for CI workloads and ephemeral compute tasks.
| Runner Offering | Compute | Memory |
|---|---|---|
| tenki-standard-autoscale | dynamic | dynamic |
| tenki-standard-small-2c-4g | 2 CPU | 4 GB |
| tenki-standard-medium-4c-8g | 4 CPU | 8 GB |
| tenki-standard-large-8c-16g | 8 CPU | 16 GB |
| tenki-standard-large-plus-16c-32g | 16 CPU | 32 GB |
Concurrency
The default concurrent-job limit depends on your plan, see Limits, Concurrency & Cold Start for the full reference. Higher concurrency is available on request.
Image
Tenki uses the official GitHub Actions runner images for AMD runners, available at actions/runner-images, ensuring that anything that runs on GitHub Actions Linux runners also runs seamlessly on Tenki. For the full image story (Linux + macOS + custom builds), see Runner Images.
Nested virtualization (KVM)
KVM nested virtualization can be enabled on x64 runners on request. This is the configuration you want for Android emulator workloads (Espresso, instrumented UI tests), see Android Emulator for a full example and recommended runner sizes.
Custom Image
We support custom images. To get your image deployed to our fabric, contact us at [email protected], see Runner Images for the full custom-image story.