Deploy CircleCI Arm Native Workflows on AWS EC2 Graviton
Introduction
Get Started with CircleCI on AWS Graviton
Create an AWS EC2 Arm64 Graviton Instance
Install CircleCI CLI
Create a resource class in CircleCI
Install CircleCI machine runner on AWS Graviton
Verify CircleCI Arm64 Self-Hosted runner
Next Steps

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About this Learning Path

Skill level:  Introductory
Reading time:  30 min
Last updated:  01 Jul 2026
Skill level:
  Introductory
Reading time:
  30 min
Last updated:
  01 Jul 2026
Author:Annie Tallund, Arm
Arm IP:Neoverse
Tags: CI-CD AWS Linux CircleCI Bash Git
Author:
  • Annie Tallund, Arm
Arm IP:
Neoverse
Tags:
CI-CD AWS Linux CircleCI Bash Git

Who is this for?

This is an introductory topic for developers and DevOps engineers who want to set up and run CircleCI Arm native workflows on Linux Arm64 virtual machines. You'll use Amazon EC2 instances powered by AWS Graviton (Neoverse N1) and self-hosted runners.

What will you learn?

Upon completion of this Learning Path, you will be able to:

  • Create an Amazon EC2 Arm64 virtual machine
  • Install and configure CircleCI self-hosted machine runners on Arm64
  • Verify the runner by running a simple workflow and test computation

Prerequisites

Before starting, you will need the following:

  • An AWS account with billing enabled
  • A CircleCI account
  • Basic understanding of CircleCI workflows, jobs and resource classes

Summary

AI-assisted

This summary was drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.

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You’ll deploy CircleCI Arm-native workflows on Amazon EC2 instances powered by AWS Graviton. Using the AWS Management Console, you’ll provision an Arm-based instance (for example, m6g.large) on Linux and install the CircleCI CLI to work with configurations and pipelines from the terminal. In the CircleCI dashboard, you’ll create a resource class to link a self-hosted machine runner to the correct namespace. Then, you’ll install the CircleCI machine runner on the Arm64 instance using the CircleCI package repository for Debian/Ubuntu systems. By the end, you’ll execute a workflow and test computation to verify that jobs run on the self-hosted Graviton runner as configured.

Frequently asked questions

AI-assisted

These FAQs were drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.

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Which EC2 instance and AMI should I select to follow the steps?
Use an Amazon EC2 instance powered by AWS Graviton, such as m6g.large, and choose a Linux AMI such as Ubuntu in the AWS Management Console. You’ll follow a console-based instance launch workflow.
What should I install before setting up the CircleCI CLI?
Install curl, tar, gzip, coreutils, gpg, and git using your package manager. These tools enable downloading, verifying, and extracting the CLI.
What do I need before creating a resource class for the self-hosted runner?
Access the CircleCI dashboard and ensure an organization/namespace is available. The resource class links your runner to that namespace so jobs can target it.
How do I confirm the machine runner is installed and connected?
After adding the CircleCI package repository and installing the runner, the agent registers to your resource class. Running the sample workflow should start on the EC2 instance and complete the test computation.
What should I check if a job does not run on the self-hosted runner?
Verify the job targets the resource class you created, the EC2 instance is running, and the runner process is installed on that instance. Then re-run the workflow from the CircleCI dashboard.
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