GPU rental marketplace

Rent GPU compute by the hour

Use GPU-Link to discover provider-listed GPU capacity for AI and compute workloads. Compare the hardware details that matter, then choose a live listing when capacity is available.

PricingProvider-set hourly rates
AvailabilityLive listings only
WorkloadsAI, inference, training

What is hourly GPU rental?

Hourly GPU rental gives you temporary access to graphics processing power without buying the hardware yourself. It can be useful for model inference, fine-tuning, image generation, experimentation and other CUDA-based workloads. GPU-Link is a marketplace: independent providers connect hardware and choose when it is available and what hourly price they want to offer.

How to choose a GPU

Start with VRAM, because model size and batch size can quickly exceed memory limits. Then consider GPU generation, expected workload, provider readiness and hourly price. Consumer RTX cards can be attractive for many single-GPU workloads, while data-center accelerators such as A100, H100 and H200 are designed for larger AI and HPC use cases.

Live availability instead of demo inventory

GPU-Link separates guides from live marketplace inventory. A guide can help you understand a GPU model, but it does not mean that model is currently available. Before starting a workload, open the marketplace and verify the actual provider listing, readiness and current hourly price.

Frequently asked questions

Can I rent a GPU for only a few hours?

GPU-Link is designed around hourly compute listings. The exact minimum usage and availability depend on the active provider listing and workload flow.

Does GPU-Link set the GPU price?

Providers control the price of their own GPU listings. Marketplace prices can therefore change as providers join, leave or update their offers.

Which GPU should I choose for AI?

It depends mainly on VRAM, model size, framework and performance needs. Use the model guides below, then verify live availability in the marketplace.