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Create a new Thunder Compute instance to start running GPU workloads. You can configure the mode, GPU type, CPU count, disk size, and template.

Create an Instance

  1. Log in to the console
  2. Click Create Instance
  3. A dialog will open—select your mode, GPU, CPU, disk size, and template
  4. Click Launch

Configuration Options

The console provides the same configuration options as the CLI and extension:
  • Mode: Prototyping or Production
  • GPU Type: A6000, A100, H100 (availability depends on mode)
  • vCPUs: 4, 8, 16, or 32 (prototyping only)
  • Disk Size: 100GB to 400GB (prototyping) or 1000GB (production)
  • Template: Base, Ollama, ComfyUI, and more

Mode Selection

Choose between optimized development pricing or full compatibility:
  • Prototyping (default): Lower cost with CUDA-level optimizations. Best for development.
  • Production: Standard VM with full compatibility. Best for long-running jobs and production workloads.
See Prototyping vs Production for details on each mode.

GPU Options

GPUVRAMAvailability
A600048GBPrototyping only
A10080GBBoth modes
H10080GBBoth modes

Templates

Templates pre-configure your instance for common AI workflows:
TemplateDescription
baseUbuntu with PyTorch + CUDA
ollamaOllama server environment
comfy-uiComfyUI for AI image generation
comfy-ui-wanComfyUI with Wan2.1 pre-installed
webui-forgeWebUI Forge for Stable Diffusion
See Using Instance Templates for more details.

Restore from Snapshot

When creating a new instance, select your snapshot from the template options.