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computegpu

Rent cloud GPUs from your terminal. Deploy in 30 seconds.

npm i -g computegpu
computegpu signup you@company.com my-agent
computegpu deploy --gpu "RTX 4090"

Install

npm i -g computegpu

Requires Node.js 18+.

Quick Start

# Create account
computegpu signup you@company.com 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

CommandDescription
signup <email> <tenantId>Create account + get API key
login --key <KEY>Save existing API key
logoutClear saved key
meShow account info
typesList 47 GPU models with pricing
cheapest --vram <GB>Find cheapest GPU for VRAM
deploy --gpu "RTX 4090"Deploy on-demand instance
podsList active instances
status <podId>Instance status + billing
stop <podId>Pause (billing stops)
resume <podId>Resume paused instance
destroy <podId>Permanent destroy
balanceWallet 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

License

Proprietary. Copyright (c) 2026 Tyga.Cloud Ltd. See LICENSE.

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Rent cloud GPUs from your terminal. Deploy in 30 seconds. npm i -g computegpu

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