Trackio has migrated its CI from GitHub Actions to Hugging Face Jobs, achieving a 30% reduction in CPU CI time and enabling GPU testing. This step is significant for improving efficiency and expanding testing capabilities in machine learning projects.
Trackio faced limitations with GitHub Actions, such as slow performance and lack of GPU access for CI. As a solution, they turned to Hugging Face Jobs, maintaining GitHub Actions as the CI orchestrator while running the jobs on Hugging Face's infrastructure.
The integration with Hugging Face allows Trackio to cut CI time for CPU jobs by approximately 30%. Moreover, using GPU hardware enables the testing of a comprehensive test suite that requires CUDA, which was not feasible with their previous setup.
The migration involved creating a bridge called huggingface/jobs-actions, which facilitates the connection between GitHub Actions jobs and Hugging Face Jobs. This method allows jobs to be treated as self-hosted runners while leveraging Hugging Face's hardware options.
Trackio provides CLI and browser-based instructions for other users to replicate their CI setup with Hugging Face. The process includes setting up the necessary tools and configuring the GitHub Actions workflow to support Hugging Face Jobs.
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Trackio has migrated its CI from GitHub Actions to Hugging Face Jobs, achieving a 30% reduction in CPU CI time and enabling GPU testing. This step is significant for improving efficiency and expanding testing capabilities in machine learning projects.