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
Four steps to your cloud GPU machine.
Create an account and add credits
Sign up with your email and phone number, and add credits from $1.12.
Choose your GPU tier
Pick a tier by the GPU memory you need: RTX 3060 to RTX A6000, 12 to 48 GB of VRAM.
Open Studio or connect over SSH
Usually ready in a few minutes. Open Studio (JupyterLab) in your browser, or connect over SSH.
Stop when you’re done — the charges stop
Hit Stop in your dashboard. The disk is kept for 24 hours, then deleted.
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 $1.12 | 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 Questions
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.