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The TensorPool CLI (tp) is a command-line interface for managing your GPU clusters, storage, and other resources.

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Installation

Install the CLI using pip: 
pip install tensorpool

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Configuration

Set your API key as an environment variable: 
export TENSORPOOL_KEY="your_api_key_here"
To make it persistent, add it to your shell profile: For bash users: 
echo 'export TENSORPOOL_KEY="your_api_key_here"' >> ~/.bashrc
source ~/.bashrc
For zsh users: 
echo 'export TENSORPOOL_KEY="your_api_key_here"' >> ~/.zshrc
source ~/.zshrc
Get your API key from the dashboard

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Command Structure

The CLI is organized into several command groups:
  • tp cluster - Manage GPU clusters
  • tp storage - Manage storage volumes
  • tp object-storage - Manage S3-compatible object storage
  • tp ssh - SSH into cluster instances
  • tp job - Manage training jobs
  • tp me - View account information and manage SSH keys

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Common Options

Most commands support the following options:
  • --help - Show help for a command
  • --org / --organization - Operate on organization resources (where applicable)
  • --no-input - Disable interactive prompts (useful for scripts and CI/CD)
  • -v, --version - Show the CLI version

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Next Steps