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Getting Started with High-Performance GitHub Actions | Machine

Machine supercharges your GitHub Workflows with seamless CPU and GPU acceleration. Say goodbye to the tedious overhead of managing high-performance runners and hello to streamlined efficiency. With Machine, developers and organizations can effortlessly scale their CI/CD pipelines, machine learning projects, and compute-intensive workloads, shifting focus from infrastructure headaches to innovation and speed.

The Problem

Teams running compute-intensive workloads often hit significant roadblocks:

  • Limited Compute Resources: GitHub’s default runners lack the power needed for intensive workloads.
  • Development Slowdowns: Standard runners drastically slow down ML training, builds, and data processing.
  • Complex Infrastructure: Setting up and managing custom high-performance infrastructure is cumbersome and distracting.
  • Resource Bottlenecks: Restricted CPU and GPU availability stalls projects and deadlines.

The Solution: Machine

Machine removes these barriers with powerful CPU and GPU-powered GitHub Actions runners, featuring:

  • Instant Access: High-performance runners ready to deploy in minutes, not days.
  • Easy Integration: Effortlessly integrate with your existing GitHub Workflows.
  • Zero Management Overhead: Fully-managed infrastructure with zero operational hassle.
  • Cost-Efficient Pricing: Only pay for the resources you use—no long-term contracts or hidden fees.

Key Benefits

Accelerate Workflows at Lightning Speed

Machine accelerates model training, inference, batch processing, builds, and simulations—up to 100× faster than standard runners.

Dramatic Cost Savings

Leverage global AWS Spot Instances for compute tasks and reduce your expenses by up to 85% compared to standard runners.

Zero Infrastructure Management

Fully automated provisioning, configuration, and teardown of high-performance runners lets you eliminate infrastructure distractions entirely.

Secure, Isolated, and Ephemeral

Each job runs on isolated, ephemeral virtual machines, ensuring maximum security, zero job interference, and total peace of mind.

Global Availability and Reliability

Machine leverages AWS infrastructure across multiple regions for low-latency, sovereign access worldwide.

Seamless GitHub Integration

Machine integrates natively with GitHub Actions. Simply update your workflows with a runs-on tag and start accelerating your tasks immediately.

Core Features

Wide Runner Selection

CPU Runners: Flexible configurations from 2 to 64 vCPUs with up to 128GB RAM, available in both X64 and ARM64 architectures.

GPU Runners: Comprehensive NVIDIA GPU selection including T4G, T4, L4, A10G, and L40S (up to 48GB VRAM), plus AWS AI accelerators TRAINIUM and INFERENTIA2.

Flexible Configurations

Tailor CPU, RAM, and GPU resources precisely to your needs.

Regional Control

Achieve data and workload sovereignty by selecting specific AWS regions.

Spot Instance Optimization

Utilize Spot Instances for significant cost savings.

Rapid Startup

Runners launch and become ready for your jobs in under one minute.

Ready to Get Started?

Accelerate your GitHub Actions with Machine’s high-performance runners today:

  • Join our Waitlist to get early access with 2000 free GPU credits (approximately 33 hours of GPU time).
  • Check out our Runners and their specifications.
  • See Machine’s capabilities thorough a Real-World Example.
  • Explore our transparent and flexible Pricing Plans to match your project’s needs.