Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

jyswee/computegpu-cli

Folders and files

NameName
Last commit message
Last commit date

Latest commit

History

1 Commit

Repository files navigation

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

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ドル 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ドル minimum top-up.

  • Consumer: RTX 3060 (0ドル.22/hr) to RTX 5090 (1ドル.24/hr)
  • Datacenter: A40 (0ドル.64/hr) to H200 (10ドル.76/hr)
  • Spot: 50% off (preemptible with 5-min warning)

Links

License

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

Releases

No releases published

Packages

Contributors

AltStyle によって変換されたページ (->オリジナル) /