Google Colab launches command-line interface for remote runtimes
Google Colab CLI links local terminals to remote GPUs and TPUs for faster workflows. Run Python, fine-tune models, and pull artifacts from Colab with ease—get started now.
Google has announced the Google Colab CommandLine Interface, a new tool designed to connect local terminal workflows with remote Colab runtimes. The company says the CLI lets developers and AI agents request GPUs or TPUs, run Python scripts and machine learning pipelines remotely, and retrieve artifacts such as models, datasets, and notebook logs.
The announcement highlights support for interactive sessions through commands like repl and console, along with a prepackaged skill file meant to help agents use the tool more easily. Google also pointed to integration with agents such as Antigravity, Claude Code, and Codex.
In an example workflow, Google showed how the CLI could be used to finetune Gemma 3 1B with QLoRA on a texttoSQL dataset, then download the resulting adapter files and logs. The CLI is available through Google’s GitHub repository, where setup instructions are provided.