GPU Acceleration for GitHub Actions Simplified.
Accelerate your machine learning workflows with powerful GPU runners on GitHub Actions—no infrastructure headaches, instant setup.
name: Train ML Model
on:
push:
branches: [ main ]
jobs:
train:
name: Train with GPU
runs-on:
- machine
- gpu=L40S
- cpu=4
- ram=32
- tenancy=spot
steps:
- uses: actions/checkout@v3
- name: Setup Python
uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Train Model
run: |
pip install -r requirements.txt
python train.pyThe Problem
Teams wait weeks for computing resources, hampering progress. GitHub Actions is a powerful tool, but lacks robust GPU support.
Slow CPU jobs waste development time
Complex self-hosted runners distract from core work
Delayed infrastructure hurts innovation
Resource bottlenecks create missed deadlines
The Solution
Machine provides GPU-powered GitHub Actions runners with instant setup. Get immediate access to acceleration without infrastructure complexity.
On-demand GPU runners available in minutes
Simple integration with existing workflows
Pay only for what you use, no contracts
Secure and reliable with full GitHub integration
Why Machine?
Compare our platform with other options to see why developers choose Machine for their ML CI/CD needs.
| Feature | Machine.dev Managed GPU Runners | DIY Self-Hosted Your Own Runners | GitHub-Hosted Enterprise GPU Runners |
|---|---|---|---|
| GPU Availability | Multiple GPU types | Depends on you | Limited options |
| Setup Time | Minutes | Days | Minutes (Enterprise & Team plans only) |
| Maintenance | Fully managed | Your responsibility | Managed (limited) |
| Cost | Pay only for what you use | High upfront + ongoing | Prohibitively expensive |
| ML Optimization | Pre installed tools | DIY optimization | Limited |
Supercharge Your Workflows
Machine is designed specifically for machine learning and data science teams who need reliable GPU access
Lightning-Fast GPU Workflows
Instantly speed up model training, inference, batch processing, and simulations — up to 100× faster than CPU-only workflows.
Significant Cost Savings
Automatically leverage AWS Spot Instances globally, saving up to 85% compared to GitHub's default GPU runners.
No Operational Burden
Managed end-to-end. We provision, configure, and tear down runners, so you can focus solely on your workflows.
Secure and Ephemeral
Every workflow runs on isolated, ephemeral VMs, ensuring maximum security and zero contamination between jobs.
Global and Reliable
Available in multiple AWS regions for low-latency, sovereign access worldwide.
Native GitHub Integration
Works seamlessly with GitHub Actions. Just add a simple runs-on tag — no need to change your existing CI/CD pipelines.
Join The Beta Waitlist
Sign up now to gain:
- Early access to the platform
- Free GPU credits to use immediately
- Priority support from our team
Ready to revolutionize your workflows?
Join the beta waitlist now to start experiencing accelerated CI/CD immediately. Secure your spot today and enjoy free GPU credits!