Instance Infrastructure
Hardware Specifications
- GPU and CPU configs: Check pricing page for latest availability
- Location: North America
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.
Storage
- Persistent Disk: Your home directory and OS. Preserved across modifications and included in snapshots. Can be expanded but not shrunk. Each GPU includes 100 GB of persistent disk, so an 8 GPU instance includes the first 800 GB at no additional storage cost.
| Storage Type | Range |
|---|
| Persistent Disk | 100 - 4000 GB, depending on GPU count. First 100 GB per GPU included. |
Networking
- Egress/Ingress: 7 Gbps
- IP Address: Dynamic
