QUICK START
ComputeGpu + Claude Code
GPU compute for Claude Code agents. As easy as git. 30 seconds to set up.
Step 1: Install + Signup
npm install -g computegpu
computegpu signup you@company.com my-project
API key saved to ~/.computegpu/config.json. Owner verifies with $1 (credited to wallet).
Already have a key? computegpu login --key YOUR_KEY
Step 2: Add MCP Server
Add to your project's .mcp.json:
{
"mcpServers": {
"computegpu": {
"type": "stdio",
"command": "computegpu",
"args": ["mcp-serve"]
}
}
}
Claude Code discovers 11 GPU tools automatically: deploy, stop, destroy, types, cheapest, pods, status, resume, topup, and admin tools.
Step 3: Start Using
# Browse GPUs
computegpu types
# Deploy a GPU
computegpu deploy --gpu "RTX 4090" --models llama3.3
# Check status
computegpu pods
computegpu status POD_ID
# Stop when done
computegpu stop POD_ID
computegpu destroy POD_ID
Step 4: Add to CLAUDE.md
## GPU Compute
This project uses ComputeGpu for GPU instances.
- CLI: `computegpu` (installed globally)
- MCP: 11 tools available via .mcp.json
- Deploy: `computegpu deploy --gpu "RTX 4090"`
- Docs: https://computegpu.com/docs
Quick Reference
| Command | What it does |
|---|---|
computegpu types | 47 GPU models with live pricing |
computegpu cheapest --vram 24 | Find cheapest GPU for VRAM |
computegpu deploy --gpu "RTX 4090" | Deploy on-demand instance (~30s) |
computegpu deploy --gpu "RTX 4090" --spot | Deploy spot (50% off, preemptible) |
computegpu pods | List active instances |
computegpu status POD_ID | Instance status + billing |
computegpu stop POD_ID | Pause (billing stops) |
computegpu resume POD_ID | Resume paused instance |
computegpu destroy POD_ID | Permanent destroy |
computegpu balance | Wallet balance |
computegpu topup 10 | Request $10 top-up |
Pricing
| Tier | Range | Example |
|---|---|---|
| Consumer | $0.14–$0.83/hr | RTX 4090: $0.41/hr |
| Datacenter | $0.42–$8.33/hr | H100 SXM: $3.23/hr |
| Spot | ~50% off | RTX 4090 spot: $0.20/hr |
Per-second billing. $1 minimum to start. Stop anytime.