About computegpu
computegpu is a CLI for renting and managing cloud GPU instances. It provides a GPU catalogue with pricing, deployment options, instance controls, and account balance commands.
Key features
- 01Browse GPU models and pricing
- 02Find GPUs by VRAM budget
- 03Deploy on-demand or spot instances
- 04Choose multi-GPU, Docker, and storage options
- 05Stop, resume, and destroy instances
Use cases
- 01Compare GPU options before renting
- 02Deploy instances for model workloads
- 03Pause instances when not in use
- 04Manage GPU instances from a terminal
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.computegpu.com/mcpclaude mcp add --transport http jyswee-computegpu https://mcp.computegpu.com/mcp{"mcpServers":{"jyswee-computegpu":{"type":"http","url":"https://mcp.computegpu.com/mcp"}}}Open in Cursor{"servers":{"jyswee-computegpu":{"type":"http","url":"https://mcp.computegpu.com/mcp"}}}Open in VS Code{"mcpServers":{"jyswee-computegpu":{"type":"http","url":"https://mcp.computegpu.com/mcp"}}}{"mcpServers":{"jyswee-computegpu":{"serverUrl":"https://mcp.computegpu.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://mcp.computegpu.com/mcpAuth requiredhttps://mcp.computegpu.com/sseAuth requiredTools
2This tool takes no parameters.
Details
From the project READMEcomputegpu
Rent cloud GPUs from your terminal. Deploy in 30 seconds.
npm i -g computegpu
computegpu signup [email protected] my-agent
computegpu deploy --gpu "RTX 4090"
Install
npm i -g computegpu
Requires Node.js 18+.
Quick Start
# Create account
computegpu signup [email protected] my-project
# Browse GPUs
computegpu types
# Deploy
computegpu deploy --gpu "RTX 4090" --models llama3.3
# Check status
computegpu pods
computegpu status POD_ID
# Stop
computegpu stop POD_ID
Commands
| Command | Description |
|---|---|
signup <email> <tenantId> | Create account + get API key |
login --key <KEY> | Save existing API key |
logout | Clear saved key |
me | Show account info |
types | List 47 GPU models with pricing |
cheapest --vram <GB> | Find cheapest GPU for VRAM |
deploy --gpu "RTX 4090" | Deploy on-demand instance |
pods | List active instances |
status <podId> | Instance status + billing |
stop <podId> | Pause (billing stops) |
resume <podId> | Resume paused instance |
destroy <podId> | Permanent destroy |
balance | Wallet balance |
topup <amount> | Request top-up ($1 minimum) |
Deploy Options
computegpu deploy --gpu "RTX 4090" # on-demand
computegpu deploy --gpu "RTX 4090" --spot # 50% off (preemptible)
computegpu deploy --gpu "H100" --count 4 # multi-GPU
computegpu deploy --gpu "RTX 4090" --models llama3.3,gemma4 # pre-load models
computegpu deploy --gpu "RTX 4090" --type docker # Docker + SSH
computegpu deploy --gpu "RTX 4090" --volume 100 # persistent storage
Config
API key is saved to ~/.computegpu/config.json (global) or ./.computegpu/config.json (local).
Priority: --key flag > COMPUTEGPU_API_KEY env > local config > global config.
computegpu login --key gpu_your_key # save globally
computegpu login --key gpu_your_key --local # save per-project
computegpu config # show active config
Pricing
47 GPU models. Per-second billing. $1 minimum top-up.
- Consumer: RTX 3060 ($0.22/hr) to RTX 5090 ($1.24/hr)
- Datacenter: A40 ($0.64/hr) to H200 ($10.76/hr)
- Spot: 50% off (preemptible with 5-min warning)
Links
- Website: computegpu.com
- Docs: computegpu.com/docs
- API: computegpu.com/.well-known/openapi.json
License
Proprietary. Copyright (c) 2026 Tyga.Cloud Ltd. See LICENSE.
Comments
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