Templates determine what is running on your GPU instance when it boots. Every instance starts from the same base image — Ubuntu 22.04 with NVIDIA drivers and Docker — and app templates start a container on top of it.

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Available templates

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Bare Metal

Pick this when you install your own stack. nvidia-smi and docker work out of the box, so docker run --gpus all ... is usually the fastest way to bring your own environment.

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PyTorch + Jupyter

JupyterLab opens in the browser with PyTorch and CUDA 12 ready. The app runs in a Docker container on the instance, so notebooks and files you create live inside that container. To move them to the host for scp or rsync, SSH in and use docker ps to find the container, then docker cp.

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Open WebUI + Ollama

A chat interface backed by Ollama on your GPU. Open the app, choose Pull a model (for example llama3 or qwen2.5), and start chatting once the download completes. Model downloads count against the instance disk.

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ComfyUI

The node-based Stable Diffusion editor. Upload checkpoints and LoRAs through the app, or scp them to the instance and docker cp them into the ComfyUI models directory inside the container.

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Reaching browser apps

App templates get a private URL under app.quantacloud.net. When your deployment is Running, the Deployments page shows an Open Application button, and the deployment’s detail view an Open button named after the app.
  • The URL is protected by your QuantaCloud login. Only the account that owns the deployment can open it.
  • There is no separate app password to manage. If you are already logged in to the console, the app opens directly.
  • The URL stops working when the deployment is stopped.
App templates take a few minutes longer than Bare Metal to reach Running while the container image is pulled. The deployment stays in Connecting until the app answers its health check.

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Choosing during deployment

Templates are selected in step 1 of the deploy flow. The template determines what is available when you connect; it does not change the price, which depends only on the offer. Not sure which to pick? PyTorch + Jupyter is the best starting point for ML work, and Bare Metal if you already have a Docker image or setup script.