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With NVIDIA GPU Cloud (NGC) CLI, you can perform many of the same operations that are available from the NGC website, such as running jobs, viewing Docker repositories and downloading AI models within your organization and team space.
- NGC CLI
Getting Started with the NGC CLI ¶. Go to...
- Welcome to NGC CLI Docs
NVIDIA NGC CLI is a command-line interface tool for managing...
- base-command (bc)
Base Command Commands. usage: ngc base-command [--debug]...
- NGC CLI
Getting Started with the NGC CLI ¶. Go to https://ngc.nvidia.com/setup/installers/cli to download the CLI and to read the installation instructions for your platform. After you install the CLI, your first step is to configure the CLI for your NGC account.
NVIDIA NGC CLI is a command-line interface tool for managing Docker containers in the NVIDIA NGC Registry. With NGC CLI, you can perform the same operations that are available from the NGC website, such as running jobs, viewing ACE and node information, and viewing Docker repositories within your orgs.
CLI. The NGC command line interface (NGC CLI) can run deep learning jobs on NVIDIA Docker containers. Documentation. Downloads. SDK. Collection of tools that developers use to create applications for a specific platform, operating system, or programming language.
Base Command Commands. usage: ngc base-command [--debug] [--format_type <fmt>] [-h] {quickstart} ... --debug. Enable debug mode. --format_type. Possible choices: ascii, csv, json. Specify the output format type. Supported formats are: ['ascii', 'csv', 'json']. Only commands that produce tabular data support csv format.
1 paź 2024 · With NVIDIA GPU Cloud (NGC) CLI, you can perform many of the same operations that are available from the NGC website, such as running jobs, viewing Docker repositories and downloading AI models within your organization and team space.
NGC Command-Line Interface (CLI) With NVIDIA GPU Cloud (NGC) CLI, you can perform many of the same operations that are available from the NGC website, such as running jobs, viewing Docker repositories and downloading AI models within your organization and team space.