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GPU Acceleration for GitHub Workflows

Machine supercharges your GitHub Workflows with seamless GPU acceleration. Say goodbye to the tedious overhead of managing GPU runners and hello to streamlined efficiency. With Machine, developers and organizations can effortlessly scale their AI and machine learning projects, shifting focus from infrastructure headaches to innovation and speed.

The Problem

Teams developing machine learning and AI solutions often hit significant roadblocks:

  • Limited GPU Resources: GitHub’s default runners don’t effectively support GPU-heavy workloads.
  • Development Slowdowns: CPU-only workflows drastically slow down innovation.
  • Complex Infrastructurey: Setting up and managing custom GPU infrastructure is cumbersome and distracting.
  • GPU Bottlenecks: Restricted GPU availability stalls projects and deadlines.

The Solution: Machine

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

  • Instant Access: GPU 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, and simulations—up to 100× faster than CPU-only workflows.

Dramatic Cost Savings

Leverage global AWS Spot Instances for GPU tasks and reduce your expenses by up to 85% compared to GitHub’s default GPU runners.

Zero Infrastructure Management

Fully automated provisioning, configuration, and teardown of GPU 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 is available in multiple AWS 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 GPU Selection

Choose from diverse NVIDIA GPU types (T4G, T4, L4, A10G, L40S) or AWS Inferentia options.

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

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

Ready to Get Started?

Accelerate your GitHub Actions with Machine’s GPU-powered performance today: