GitHub Actions alternatives for faster, cheaper CI.
If GitHub-hosted runners are too slow, too expensive, or too limited, you have three real options — third-party hosted runners, Kubernetes self-hosting, or AWS-native runners in your own account. Here's the honest comparison, structured around the question that actually matters.
Three serious ways off GitHub-hosted runners.
RunsOn is for teams that want the third — ephemeral runners on EC2, with code and secrets staying in their own AWS account.
Third-party hosted
Namespace, Blacksmith, Ubicloud, Depot, WarpBuild, etc. Plug-and-play, often fast — but your jobs run in another vendor's infrastructure.
Kubernetes self-hosting
Actions Runner Controller (ARC). Full control over your fleet — if you're willing to own the cluster, the autoscaler, and the on-call.
AWS-native, your account
Ephemeral EC2 per job, launched from one CloudFormation stack. No cluster, no controller, any instance per job — nothing leaves your AWS account.
The real question: where does your code run?
Not "which provider has the most checkmarks in a feature table." Ubicloud, Blacksmith, Namespace, Depot, and WarpBuild are serious products — several are excellent. But they all share one thing: your code, secrets, and artifacts run on their infrastructure. For regulated or security-sensitive teams, that's a non-starter.
what stays inside
Nothing leaves. Your IAM, your VPC, your network boundary. No third party touches the code.
what leaves your account
Fine for many teams. A hard stop for teams with strict compliance or data-residency requirements.
What makes RunsOn different.
Three things hosted runner providers structurally can't offer.
Jobs stay in your AWS account
Control plane, ephemeral EC2 runners, logs, artifacts and secrets all live inside your account. GitHub only sends in the job request — nothing of yours leaves.
Use the EC2 shape your job needs
The label is a query — each line one constraint, resolved at launch. Any instance type, per job.
runs-on: runner=2cpu-linux-x64
runs-on: runner=16cpu-linux-arm64
runs-on: family=g6e.xlarge
runs-on: volume=80gbPay AWS for compute, RunsOn for the license
No per-minute runner tax sitting between you and the metal. Use existing AWS credits and commitments.
The tradeoff table.
A feature table of cache speeds and boot times changes constantly — and we'd obviously pick metrics where we look good. The more useful comparison is structural: where the work runs, who operates the runners, and how compute is billed.
| option | where it wins | the tradeoff |
|---|---|---|
| GitHub-hostedruns on GitHub | No setup, native GitHub UX, good for small standard jobs. | Limited instance choice, higher per-minute pricing at scale, and code runs on GitHub-hosted infrastructure. |
| Hosted providersruns on vendor | Managed speed without operating any infrastructure. | Your jobs run in vendor infrastructure, and compute usually includes a service markup. |
| RunsOnrecommendedruns in your account | Ephemeral EC2 runners in your AWS account, any EC2 shape, AWS credits and commitments apply. | AWS-only, and you deploy a small CloudFormation stack before the first workflow runs. |
| Actions Runner Controllerruns in your cluster | Strong fit for teams already standardized on Kubernetes. | You own Kubernetes, scaling, images, security posture, and day-to-day runner operations. |
| AWS CodeBuildruns in your account | Native AWS service and AWS procurement path. | Different runner model, weaker GitHub Actions ergonomics, and less flexible EC2 instance selection. |
But what about performance?
We keep continuously updated benchmarks comparing the major runner options. RunsOn is competitive on raw speed while keeping your code in your own infrastructure — you don't trade security for it.
CPU performance
How fast are the CPUs? Single-thread Passmark across official, self-hosted and SaaS runners — re-ranked live by your speed-vs-price preference.
See CPU results → benchmarkI/O performance
How fast is disk and network? Throughput and latency for build-heavy workloads where storage, not CPU, is the bottleneck.
See I/O results →When RunsOn might not be for you.
It isn't the right answer for every team. Three cases where you should look elsewhere.
You don't use AWS
RunsOn is AWS-only. If you're on GCP or Azure, this isn't your tool — pick a provider native to your cloud.
You need macOS runners
AWS Mac instances require 24-hour host reservations, which makes them impractical for on-demand CI.
You want zero setup
SaaS providers are plug-and-play. RunsOn takes about 10 minutes to deploy — short, but still a deployment.
The questions teams actually search for.
When comparing GitHub Actions runners in 2026.
Cheapest runners
RunsOn and Ubicloud land around 90% under GitHub-hosted. RunsOn deploys in your AWS account, so existing AWS credits apply; Ubicloud is Hetzner-backed.
Fastest runners
On x64, Namespace, Blacksmith and RunsOn lead single-thread CPU. On arm64, Namespace leads, then RunsOn and WarpBuild. See the live benchmark →
GPU support
RunsOn is currently the only alternative with GPU runners for GitHub Actions. GitHub's own GPU runners are limited to enterprise plans at premium pricing.
Windows support
RunsOn is one of the few third-party providers offering Windows runner support. Some open-source solutions can run Windows too, with more setup.
macOS builds
Several SaaS services provide macOS runners. AWS-native solutions are limited by Apple's mandatory 24-hour host reservation, so this isn't RunsOn's strength.
Queue time
GitHub's official runners have the shortest queues for standard sizes. Alternatives stay competitive, typically under ~30 seconds; warm pools cut self-hosted queues further.
Best for enterprise
RunsOn deploys in your AWS infrastructure and scales to many thousands of jobs/day inside your security perimeter. ARC suits Kubernetes shops; CodeBuild fits AWS-native procurement.
Hosted vs self-hosted
For short, standard jobs, GitHub-hosted is hard to beat on simplicity. For CPU-heavy or long-running jobs, or to cut cost, self-hosted alternatives win on value and control.
Ready to keep CI in your own account?
One CloudFormation stack, a private GitHub App for your org, ~10 minutes. The version of self-hosted runners that just runs.