YOUR GPU RIG
IN THE CLOUD.
Rent a dedicated NVIDIA GPU by the second. Open JupyterLab in your browser or connect over SSH — PyTorch and CUDA are already installed. Stop whenever you're done.
Choose Your GPU Tier
From 12 GB to 48 GB of VRAM — pick the GPU that fits your workload.
- RTX 4090
- 24GB VRAM
- 8 vCPUs
- 32GB RAM
How It Works
Three steps to your cloud GPU machine.
Choose Your GPU
Pick from RTX 3060 to RTX A6000, 12 to 48 GB of VRAM.
Deploy in Minutes
Usually ready in a few minutes, with PyTorch and CUDA installed.
Connect & Work
Open JupyterLab in your browser, or connect over SSH.
Built For GPU Work
Compute you run from a notebook or a terminal.
AI / ML Training
Train and fine-tune PyTorch models on 12 to 48 GB of VRAM.
Inference
Run open models with libraries such as Hugging Face Transformers and Diffusers.
Notebooks & Data
Explore data and prototype in JupyterLab, with the GPU one cell away.
Rendering & Batch Jobs
Run GPU jobs from the command line, such as Blender renders in background mode.
GamePC vs Hardware
When renting a GPU beats buying one.
| Feature | GamePC | Own Hardware |
|---|---|---|
| Upfront Cost | None — prepaid credit from $1.15 | The GPU plus the PC around it |
| Setup Time | Usually a few minutes | Build it, install drivers and CUDA |
| Different GPU | Deploy on another tier | Buy a new card |
| Hardware Upkeep | None on your side | Yours to fix |
| Access | Any computer with a browser or SSH | Where the machine is |
| Availability | Tiers can sell out for a while | Always yours |
Packed With Features
Everything you need, nothing you don't.
Fast Deploy
Usually ready in a few minutes. A deploy that hasn't started within 10 minutes is cancelled and not charged.
Per-Second Billing
Charged for running time only, to the second. Stop whenever you're done.
JupyterLab in Your Browser
One click opens notebooks, a terminal and a file browser on your machine.
SSH Access
Add your public key and run scripts and long jobs from your own terminal.
PyTorch + CUDA Ready
Machines start from the official PyTorch image, CUDA libraries included.
Root Access
You're root in your Linux container — pip or apt-get install what you need.
One Whole GPU
Each machine gets a full NVIDIA GPU to itself, not a slice of one.
100 GB Disk
Every machine gets 100 GB. Kept 24 hours after you stop it, then deleted.
No Contracts
Prepaid credit, no subscription. Unused credit is refundable within 14 days of purchase.
Frequently Asked
GamePC rents you a cloud machine with one dedicated NVIDIA GPU. You open JupyterLab in your browser or connect over SSH, with PyTorch and CUDA already installed, and pay for the time it runs, by the second.
You add prepaid credit, from $1.15. A running machine is charged by the second at its tier's hourly rate, and the charges stop when you stop it. No subscription, no contract.
No. GamePC machines are Linux containers for compute work — AI/ML, notebooks, rendering and batch jobs. They have no display, no graphical desktop and no game streaming, so games can't be played on them.
Linux with PyTorch and the CUDA libraries it uses, JupyterLab and SSH. You are root inside the container, so you can pip or apt-get install anything else you need.
Each machine has a 100 GB disk. When you stop the machine the disk is kept for 24 hours, then deleted; deleting the machine deletes it straight away. Download anything you want to keep.
Yes — deploy a new machine on the other tier. Each machine has its own disk, so copy across any files you need first.
On Every Machine
What you get on every tier.
Ready to Level Up?
Stop waiting for hardware. Deploy a cloud GPU machine — usually ready in a few minutes — and start working today. No credit card required to sign up.