Select an offer
Start in the Compute Marketplace (sidebar). Choose a GPU type, apply any filters, then click Deploy on the offer you want. You’ll be taken to the deploy configuration page with the selected offer’s specs displayed at the top:- GPU model, VRAM, and architecture
- Location
- vCPU count, RAM, and included disk
Configure your deployment
1
Choose a template
Templates determine what is running on your instance when it boots:
- Bare Metal — Ubuntu 22.04 with NVIDIA drivers and Docker, nothing else. SSH in and set up your own stack.
- PyTorch + Jupyter — PyTorch with CUDA 12 and JupyterLab, opened in the browser.
- Open WebUI + Ollama — Chat with open-source LLMs in the browser; pull any model from within the app.
- ComfyUI — Node-based Stable Diffusion workflow editor for image generation.
2
Check the disk
Every QuantaCloud offer includes a fixed amount of local disk (for example, 256 GB on a single RTX A6000 and more on multi-GPU instances). It is shown with the offer specs and is included in the hourly rate, so there is nothing to configure.
3
Choose an SSH key
Select which SSH key to use for the instance. Your managed (platform-generated) key is pre-selected by default.Keys are listed with their fingerprint for identification. If you need to add a new key, there’s a link to the SSH keys management page.
4
Review cost and deploy
The cost summary shows a full breakdown:
Your current credit balance and estimated runtime (balance / hourly rate) are displayed.Click Deploy to launch. If your balance is insufficient, you’ll see Fund & Deploy which takes you to add credits first.
After deployment
Once you click Deploy, your instance goes through these states:- Initializing — Setting up the deployment
- Provisioning — Creating your instance
- Connecting — Waiting for SSH access (and, for app templates, for the app to come up)
- Running — Your instance is ready to use
You’re charged for the first hour when you deploy. After that, billing continues hourly. If your balance runs out, the deployment is automatically stopped.