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Documentation Index

Fetch the complete documentation index at: https://www.thundercompute.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Instance Infrastructure

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Hardware Specifications

  • GPU and CPU configs: Check pricing page for latest availability
  • Location: North America

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Pre-installed Software

  • CUDA: Version 13.0
  • CUDA Driver: Version 580
  • PyTorch: Version 2.9.0+cu128
  • JupyterLab: Pre-installed
  • Additional scientific Python libraries (NumPy, Pandas, etc.)
Do not attempt to reinstall CUDA. If compatibility issues arise, use a venv and change the versions of your other dependencies (e.g., PyTorch) rather than modifying the CUDA libraries.

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Storage

  • Persistent Disk: Your home directory and OS. Preserved across modifications and included in snapshots. Can be expanded but not shrunk.
  • Ephemeral Storage: Optional fast local NVMe disk mounted at /ephemeral. Not included in snapshots and lost when the instance is modified or deleted. Ideal for model weights, caches, and scratch files. See Ephemeral Storage.
Storage TypePrototyping RangeProduction Range
Persistent Disk100 - 400 GB100 - 1000 GB
Ephemeral Storage0 - 300 GB0 - 500 GB

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Networking

  • Egress/Ingress: 7 Gbps
  • IP Address: Dynamic

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Port Access

  • Public URLs (CLI): Use tnr ports forward to expose HTTP services at https://<uuid>-<port>.thundercompute.net with automatic HTTPS and DDoS protection. See Port Forwarding for details.
  • Local tunneling (CLI): Use tnr connect <instance_id> -t <port> to tunnel ports to your local machine
  • VS Code: Use the built-in port forwarding feature