GPU instances for developers
Persistent RTX A6000, A100, L40, and H100 machines, ready to SSH into in minutes. Switch GPUs any time and snapshot your work for later.
“This pricing is insane.”
“Can’t get enough of this UX.”
Real quotes from ML engineers building on Thunder Compute
Low-cost GPUs for developers
Our on-demand pricing is up to 68% less than AWS
One environment for development through production
Switch GPUs, add storage, or take a snapshot for later
Keep the machine
Snapshot the instance’s disk, delete the instance, and start a new one from it later. List caches in .thunderignore to keep snapshots small.
Pay for storage, not idle GPUs
Snapshots cost $0.05 per GB each month
Know when to snapshot
Keep an instance for active work. Snapshot it when you step away.
| Snapshot and delete | Keep it running | |
|---|---|---|
| Billing | $0.05 per GB each month | GPU rate, billed per minute |
| GPU | Released | Held for you |
| What's kept | OS, packages, code and data | Disk plus running processes |
| Getting back | Restore, up to 8 min per 100 GB | Connect right away |
| Best for | Nights, weekends, shared setups | Active work and long training runs |
Launch pre-built workflows
Pre-built templates to launch your AI workflow in one click
Templates include Comfy UI, Ollama, Wan2.1, PyTorch, CUDA Kernels, Forge Neo.
Simple interfaces for any workflow
A VS Code extension, a CLI and an MCP server to manage your instances
~ $ tnr connect 0
⚡️ Connecting to Thunder Instance
✓ Establishing SSH connection (1.284s)
✓ Connection established successfully
ubuntu@thunder:~$ nvidia-smi -L
GPU 0: NVIDIA A100 80GB PCIe
ubuntu@thunder:~$
Launch your first instance
A6000s from $0.35/hr, billed by the minute. Ready to SSH into in minutes.