Introducing Machine – Now in Beta

GPU Acceleration for GitHub Actions
Simplified.

Accelerate your machine learning workflows with powerful GPU runners on GitHub Actions—no infrastructure headaches, instant setup.

GitHub Actions with Machine
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.py

The 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

Powerful Capabilities

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.

How Machine Works

Three simple steps to accelerate your GitHub workflows with GPU power

1

Connect GitHub

Install our GitHub App or connect via OAuth in seconds. Machine securely integrates with your GitHub account to access your repositories and workflows.

No complex setup or infrastructure changes required—just a simple authorization process that gets you up and running quickly.

2

Configure Your Workflow

Just update your GitHub Actions YAML workflow file:

GitHub Actions Config
jobs:
  gpu-job:
    name: Train with GPU
    runs-on:
      - machine
      - gpu=L40S
      - cpu=4
      - ram=32
      - tenancy=spot
3

Accelerate Your Workflow

Push your code, and watch Machine rapidly execute your GPU-accelerated workflows. Save time, iterate faster, and maximize developer productivity.

With access to high-performance computing resources on demand, your team can focus on innovation rather than waiting for slow CI/CD runs or managing infrastructure.

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
Hours (Enterprise 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
Simple Pricing

Choose a plan that works for you

Start with our Pay-As-You-Go option or choose a plan with included credits for the best value.

Pay As You Go

$0 /month

Pay only for what you use

What's included

  • $0.005 per machine credit
  • Max 2 concurrent machines

Growth Plan

Popular Choice
$50 /month

Includes 11,000 credits

What's included

  • Discount ~9%
  • $0.004545 effective cost per machine credit
  • Max 3 concurrent machines
  • 11,000 included credits per month
  • Overages revert to $0.005 per machine credit

Professional Plan

$85 /month

Includes 20,000 credits

What's included

  • Discount 15%
  • $0.00425 effective cost per machine credit
  • Max 5 concurrent machines
  • 20,000 included credits per month
  • Overages revert to $0.005 per machine credit

Business Plan

$160 /month

Includes 40,000 credits

What's included

  • Discount 20%
  • $0.004 effective cost per machine credit
  • Max 10 concurrent machines
  • 40,000 included credits per month
  • Overages revert to $0.005 per machine credit

Need a custom plan?

If you need more credits or concurrent machines for your team, contact us for a custom enterprise solution.

Contact Sales
Runner Specifications

Available GPU Runners

Choose from a variety of GPU instances to power your machine learning and AI workflows

GPU vCPU RAM VRAM Arch Spot Credits On Demand Credits
T4
4 16 16 X64 2 4
8 32 16 X64 2 6
16 64 16 X64 3 9
L4
4 16 24 X64 2 6
8 32 24 X64 2 7
16 64 24 X64 3 9
L40S
4 32 48 X64 3 14
8 64 48 X64 5 15
16 128 48 X64 6 21
T4G
4 8 16 ARM64 1 3
8 16 16 ARM64 2 4
16 32 16 ARM64 3 6
A10G
4 16 24 X64 3 7
8 32 24 X64 3 9
16 64 24 X64 4 11
TRAINIUM
8 32 32 X64 1 9
INFERENTIA2
4 16 32 X64 1 6
32 128 32 X64 3 14

Note: These rates are only indicative and subject to change based on AWS pricing, and represent the lowest cost achievable across all regions at the time of writing.

Need a custom runner configuration? Contact us

Use Cases

Discover how Machine.dev's GPU-powered runners enable advanced AI and machine learning workflows.

Conversational AI Training

Quickly build specialized chatbots with supervised fine-tuning on conversational data. Train models like Llama 3.2 efficiently using LoRA optimizations and push directly to Hugging Face.

Explore template

Parallel Hyperparameter Tuning

Accelerate model optimization by tuning multiple hyperparameter combinations simultaneously. Discover optimal configurations faster with parallel GPU-powered training jobs.

Explore template

Batch Object Detection

Process thousands of images with GPU-accelerated object detection. Automatically identify, annotate, and catalog objects with high precision and lightning-fast speed.

Explore template

LLM Benchmark Arena

Compare language models head-to-head across multiple benchmarks. Generate comprehensive performance visualizations to identify the best model for your specific use case.

Explore template

GRPO Fine-tuning

Enhance small language models with powerful reasoning capabilities using Group Relative Policy Optimization. Leverage spot-priced GPUs for cost-effective training that automatically handles interruptions.

Explore template

Build Your Own GPU Workflow

Start creating powerful GPU-accelerated workflows with Machine.dev today.

Get Started

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!

Your response helps us customize the platform.

By signing up, you agree to our privacy policy and terms of service.