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Instance Infrastructure

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Hardware Specifications

  • GPU Options:
    • A6000 48GB (Prototyping only)
    • A100 80GB (Both modes)
    • H100 80GB (Both modes)
  • Memory: 18 vCPUs and 90GB RAM per GPU (Production mode, Prototyping is fully customizable)
  • Location: Canada (Quebec)

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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, upgrade your other dependencies (e.g., PyTorch) rather than downgrading CUDA.

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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