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Rent a GPU for AI: how it works and where to rent

A beginner's guide to renting a cloud GPU for AI: which GPU to pick, what it costs, and how to get a model running in minutes.

Updated

This guide is being written. Below is the outline and our current price data; test results will be added once our testing is complete.

Quick comparison

Rent a GPU for AI: how it works and where to rent: comparison
ProviderFromStarting planFree tierOur ratingLink
RunPodChecked $0.34/hrRTX 4090 24GB (Community Cloud)No free credits; small referral bonus after a $10 top-upNot ratedVisitOfficial site
Vast.aiChecked $0.49/hrRTX 4090 24GBNo free creditsNot ratedVisitOfficial site
LambdaChecked $2.29/hrGH200 96GB (1x instance)64 vCPU · 432 GB RAMNoNot ratedVisitOfficial site
ModalChecked $1.10/hrA10$30/month of free credits on the Starter planNot ratedVisitOfficial site

Why rent instead of buy

A GPU that costs thousands to buy can be rented for well under a dollar an hour. When renting makes sense and when buying does.

Three ways to rent

  1. A GPU virtual machine (pod): full control, billed per hour or second.
  2. A marketplace GPU: cheaper, from independent hosts.
  3. Serverless GPU: pay only while your code runs.

Pick the right GPU

Match VRAM to the model you want to run. Quick table, then a link to best GPU servers for self-hosted AI.

Your first rented GPU, step by step

Create an account, choose a template (Ollama, ComfyUI or Jupyter), connect, run a model, and stop the instance so billing stops.

Avoid surprise bills

Stop vs terminate, storage charges, auto-shutdown, spending limits.

What it costs

Worked examples: one evening of image generation, a week-long fine-tune, an always-on chatbot.