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Run your ML workloads on GitHub Actions with GPU runners

GitHub is introducing GPU hosted runners for GitHub Actions to provide teams working with ML models to have a single platform to build, test and deploy from.

GPU accelerated Builds

GitHub enables teams working with GPU accelerated ML models as part of their applications to fully adopt Actions as their DevOps platform to test and deploy their services. These new runners empower teams working with models such as large language models (LLMs) to run these more efficiently as part of their CI/CD process, empowering teams to do complete application testing, including the ML components, in Actions.

We know that developers and data scientists love GitHub Actions. Data scientists are moving away from ‘working in isolation’ towards a model of ML Ops and trying to understand how this feeds into the wider DevOps practices of their teams.

These runners will be entering private beta in November.


Click here to join the waitlist for the private beta.

GitHub secret scanning protects users by searching repositories for known types of secrets such as tokens and private keys. By identifying and flagging these secrets, our scans help prevent data leaks and fraud.

We have partnered with Onfido to scan for their tokens to help secure our mutual users in public repositories. Onfido tokens allow developers to interact with Onfido's API in order to integrate secure and reliable identity verification solutions into their applications and services, helping to enhance user onboarding processes and protect against fraud. GitHub will forward any exposed tokens found in public repositories to Onfido, who will then notify the customer about the leaked token. Read more information about Onfido API tokens.

GitHub Advanced Security customers can also scan for and block Onfido tokens in their private repositories.

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Arm-based hosted runners are coming to GitHub Actions!

Unlock the power of Arm in Actions

By leveraging the power and efficiency of the Arm® architecture, GitHub is offering a new solution that will accelerate software development in GitHub. These new capabilities empower GitHub users to shift-left software development on the Arm architecture across the embedded edge, IoT and cloud infrastructure while providing significant power, performance and sustainability improvements to all users. Developers can now take advantage of Arm hardware hosted by GitHub to build and deploy their release assets anywhere Arm’s architecture is used.

Seamlessly integrated into GitHub Actions, these runners are powered by Arm-based Ampere® Altra® processors. Preloaded with a base image that contains a foundational set of development tools to build upon, these runners are extremely versatile and can handle any embedded software project from key markets such as automotive, IoT and industrial. The benefits do not stop at the embedded edge, as non-embedded, cloud native and everything in between will benefit by reducing their carbon footprint and getting more done within existing budgets.

These runners will be entering private beta in January 2024.

“With Arm-based GitHub-hosted runners, software developers can move faster while taking full advantage of the efficient Arm architecture, from cloud to edge,” said Bhumik Patel, director of software ecosystem development, Infrastructure Line of Business, Arm. “Our partnership with GitHub allows developers to optimize their Arm-based software development workflows and leverage GitHub’s ubiquitous deployment capability to more efficiently deliver code wherever they deploy – all while reducing costs and time to market.”

Click here to join the waitlist for the private beta.

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