One-click AI
Paid from prepaid credits — added once, from $5.00; what an app does not use stays in your balance.
Pick what you want to do. We choose a GPU that fits, start the app, and open it for you — usually within a minute or two; the first time an app runs on a machine, its download can take a few minutes, and that wait is not charged. You only pay for the time you use, and you can stop any second.
Type a little Python, see the result right below — the classic way to learn and try AI.A JupyterLab notebook with PyTorch and the GPU already wired up. The classic way to experiment.
- JupyterLab in your browser
- PyTorch + CUDA ready
- Files persist for the whole rental
Run `torch.cuda.is_available()` in the first cell — it says True.
Your own ChatGPT-style assistant, on a GPU you rent: what you type goes to that machine, not to an AI company. It is someone else’s computer, so keep secrets out of it.Your own ChatGPT-style model, running on hardware you rented — your chats go to that machine, not to an AI company.
- Chat right here in your browser
- Pick any open model (Llama, Qwen, Phi…)
- Or use it from code over a normal API
Pick a model on the rental page and start typing — no terminal, no setup.
Runs a model behind the same kind of web address OpenAI uses, so your app or script can talk to it.Serve a model with an OpenAI-compatible API, so existing code can point at it by changing one URL.
- Qwen2.5-7B served for you
- OpenAI-compatible endpoints
- Swap in any open model
No GPU with at least 24 GB is free right now — try again shortly.
The same notebook, set up for TensorFlow and Keras — pick it if your course or code uses them.A JupyterLab notebook with TensorFlow 2 and GPU support, for Keras and TF workflows.
- JupyterLab in your browser
- TensorFlow 2 + GPU
- Files persist for the whole rental
Run `tf.config.list_physical_devices("GPU")` to see the card.
A clean machine and a terminal, for when you know exactly what you want to install.A clean CUDA machine and a terminal. Install whatever you like — fastest to start.
- CUDA 12.4 on Ubuntu 22.04
- A real shell in your browser
- Full control
Open the Terminal and run `nvidia-smi`.
How this works
1 You pick an app — not a GPU. We match the smallest card that runs it well and show the price first.
2 We rent it from your credits, start the app, and take you to it — it opens as soon as it answers.
3 Stop whenever you like — unused time goes back to your credits automatically.