Built for AI.
Fast and flexible.

Launch fast. Adapt freely. Runyour AI with predictable costs.

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runyour ai

Remarkably flexible
AI cloud

Runyour AI is Korea’s first GPU marketplace, connecting providers and users to unlock on-demand, high-performance compute for AI research and specialized workloads

11×

GPU performance
for high-intensity
compute workloads

95+

Global data centers
ensuring stable GPU supply

440K+

The largest GPU node network
in Korea

Up to 70%

Compared to
global cloud providers
GPU CLOUD

Choose what you need. Use it your way.

On-deamnd GPU

Rent GPUs by the hour and start instantly with ready-to-use templates.

Reserved GPU

High-performance servers for long-term projects, with monthly savings.

CPU Cloud

Reliable CPU environments for light compute and APIs.

Template

One-click environments to start working instantly.

Storage

High-speed storage designed for smooth, large-scale data processing.

PRICING

Top-tier GPUs. Smarter pricing.

Learn more

Cost efficiency, higher performance

Access multiple GPUs with flexible plans to boost research performance.

Built to scale

Scale resources as your needs change, from capacity to model training.

Fast, powerful networking

Run NVIDIA GPUs fast, without latency or bottlenecks.

template

Set up your workspace in one click
— no setup, no hassle.

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Jupyter AI Lab

Jupyter Lab on Ubuntu with Python, Conda, and PyTorch
pre-installed.

Stable Diffusion

Web-based GUI for Stable Diffusion image generation, with SSH access.

Whisper

Web-based STT using Whisper to
extract text from audio and video.

Pytorch 2.5.1

Ubuntu-based PyTorch environment with Python, Conda, and Jupyter Lab.

ComfyUI

Web-based ComfyUI for visual Stable Diffusion workflows, with SSH access.

Custom Template

Create your own template tailored to your development environment.

Faq

Questions

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What development environments does Runyour AI support?

Runyour AI lets you access GPUs via SSH and work in your own local environment.We also support popular tools like Jupyter Lab, VS Code, PyTorch, and TensorFlow for direct use on the platform.

What’s the difference between On-Demand and Reserved?

On-Demand is pay-as-you-go for short-term use, while Reserved Cloud offers dedicated servers for long-term projects with monthly pricing.

I have a server with 2× A100 GPUs.
Can I register them separately?

You can register each GPU separately. When registering GPUs individually, CPU, RAM, and storage resources must also be split proportionally.

Which operating systems does Runyour AI support?

Runyour AI currently supports Linux-based environments (Ubuntu via Docker instances) only.Windows is not supported at this time.

What’s the difference between paid and bonus credits?

Paid credits are purchased by users and can be used across all services, including GPU Cloud and Storage. They are valid for one year from the purchase date.Bonus credits are granted through events or promotions and can also be used for services, but their validity period may vary depending on the promotion. *Credits are denominated as 1C = 1 KRW.

How is revenue calculated for GPU providers?

A 28% marketplace fee is deducted from GPU sales revenue before payout.The final payout amount may vary depending on seller contract terms and applicable taxes.

View User Guide
Hosting

List your servers and start earning from unused capacity.