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  1. org.ngc.nvidia.com › setup › installersCLI Install - Nvidia

    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. Windows 32-bit Install. Windows 64-bit Install. AMD64 Linux.

    • NGC Python SDK

      NGC CLI. With NVIDIA GPU Cloud (NGC) SDK, you can perform...

  2. NGC CLI. With NVIDIA GPU Cloud (NGC) SDK, 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.

  3. 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.

  4. 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.

  5. catalog.ngc.nvidia.com › orgs › nvidiaNGC CLI | NVIDIA NGC

    1 paź 2024 · NGC 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.

  6. 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.

  7. 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.

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